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Descriptive Research | Definition, Types, Methods & Examples

Descriptive Research | Definition, Types, Methods & Examples

Published on May 15, 2019 by Shona McCombes . Revised on June 22, 2023.

Descriptive research aims to accurately and systematically describe a population, situation or phenomenon. It can answer what , where , when and how questions , but not why questions.

A descriptive research design can use a wide variety of research methods to investigate one or more variables . Unlike in experimental research , the researcher does not control or manipulate any of the variables, but only observes and measures them.

When to use a descriptive research design, descriptive research methods, other interesting articles.

Descriptive research is an appropriate choice when the research aim is to identify characteristics, frequencies, trends, and categories.

It is useful when not much is known yet about the topic or problem. Before you can research why something happens, you need to understand how, when and where it happens.

Descriptive research question examples

How has the Amsterdam housing market changed over the past 20 years?
Do customers of company X prefer product X or product Y?
What are the main genetic, behavioural and morphological differences between European wildcats and domestic cats?
What are the most popular online news sources among under-18s?
How prevalent is disease A in population B?

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Descriptive research is usually defined as a type of quantitative research , though qualitative research can also be used for descriptive purposes. The research design should be carefully developed to ensure that the results are valid and reliable .

Survey research allows you to gather large volumes of data that can be analyzed for frequencies, averages and patterns. Common uses of surveys include:

Describing the demographics of a country or region
Gauging public opinion on political and social topics
Evaluating satisfaction with a company’s products or an organization’s services

Observations

Observations allow you to gather data on behaviours and phenomena without having to rely on the honesty and accuracy of respondents. This method is often used by psychological, social and market researchers to understand how people act in real-life situations.

Observation of physical entities and phenomena is also an important part of research in the natural sciences. Before you can develop testable hypotheses , models or theories, it’s necessary to observe and systematically describe the subject under investigation.

Case studies

A case study can be used to describe the characteristics of a specific subject (such as a person, group, event or organization). Instead of gathering a large volume of data to identify patterns across time or location, case studies gather detailed data to identify the characteristics of a narrowly defined subject.

Rather than aiming to describe generalizable facts, case studies often focus on unusual or interesting cases that challenge assumptions, add complexity, or reveal something new about a research problem .

If you want to know more about statistics , methodology , or research bias , make sure to check out some of our other articles with explanations and examples.

Normal distribution
Degrees of freedom
Null hypothesis
Discourse analysis
Control groups
Mixed methods research
Non-probability sampling
Quantitative research
Ecological validity

Research bias

Rosenthal effect
Implicit bias
Cognitive bias
Selection bias
Negativity bias
Status quo bias

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Understanding Descriptive Research Designs and Methods

Siedlecki, Sandra L. PhD, RN, APRN-CNS, FAAN

Author Affiliation: Senior Nurse Scientist and Clinical Nurse Specialist, Office of Nursing Research & Innovation, Nursing Institute, Cleveland Clinic, Ohio.

The author reports no conflicts of interest.

Correspondence: Sandra L. Siedlecki, PhD, RN, APRN-CNS, 3271 Stillwater Dr, Medina, OH 44256 ( [email protected] ).

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Home » Descriptive Research Design – Types, Methods and Examples

Descriptive Research Design – Types, Methods and Examples

Table of Contents

Descriptive Research Design

Definition:

Descriptive research design is a type of research methodology that aims to describe or document the characteristics, behaviors, attitudes, opinions, or perceptions of a group or population being studied.

Descriptive research design does not attempt to establish cause-and-effect relationships between variables or make predictions about future outcomes. Instead, it focuses on providing a detailed and accurate representation of the data collected, which can be useful for generating hypotheses, exploring trends, and identifying patterns in the data.

Types of Descriptive Research Design

Types of Descriptive Research Design are as follows:

Cross-sectional Study

This involves collecting data at a single point in time from a sample or population to describe their characteristics or behaviors. For example, a researcher may conduct a cross-sectional study to investigate the prevalence of certain health conditions among a population, or to describe the attitudes and beliefs of a particular group.

Longitudinal Study

This involves collecting data over an extended period of time, often through repeated observations or surveys of the same group or population. Longitudinal studies can be used to track changes in attitudes, behaviors, or outcomes over time, or to investigate the effects of interventions or treatments.

This involves an in-depth examination of a single individual, group, or situation to gain a detailed understanding of its characteristics or dynamics. Case studies are often used in psychology, sociology, and business to explore complex phenomena or to generate hypotheses for further research.

Survey Research

This involves collecting data from a sample or population through standardized questionnaires or interviews. Surveys can be used to describe attitudes, opinions, behaviors, or demographic characteristics of a group, and can be conducted in person, by phone, or online.

Observational Research

This involves observing and documenting the behavior or interactions of individuals or groups in a natural or controlled setting. Observational studies can be used to describe social, cultural, or environmental phenomena, or to investigate the effects of interventions or treatments.

Correlational Research

This involves examining the relationships between two or more variables to describe their patterns or associations. Correlational studies can be used to identify potential causal relationships or to explore the strength and direction of relationships between variables.

Data Analysis Methods

Descriptive research design data analysis methods depend on the type of data collected and the research question being addressed. Here are some common methods of data analysis for descriptive research:

Descriptive Statistics

This method involves analyzing data to summarize and describe the key features of a sample or population. Descriptive statistics can include measures of central tendency (e.g., mean, median, mode) and measures of variability (e.g., range, standard deviation).

Cross-tabulation

This method involves analyzing data by creating a table that shows the frequency of two or more variables together. Cross-tabulation can help identify patterns or relationships between variables.

Content Analysis

This method involves analyzing qualitative data (e.g., text, images, audio) to identify themes, patterns, or trends. Content analysis can be used to describe the characteristics of a sample or population, or to identify factors that influence attitudes or behaviors.

Qualitative Coding

This method involves analyzing qualitative data by assigning codes to segments of data based on their meaning or content. Qualitative coding can be used to identify common themes, patterns, or categories within the data.

Visualization

This method involves creating graphs or charts to represent data visually. Visualization can help identify patterns or relationships between variables and make it easier to communicate findings to others.

Comparative Analysis

This method involves comparing data across different groups or time periods to identify similarities and differences. Comparative analysis can help describe changes in attitudes or behaviors over time or differences between subgroups within a population.

Applications of Descriptive Research Design

Descriptive research design has numerous applications in various fields. Some of the common applications of descriptive research design are:

Market research: Descriptive research design is widely used in market research to understand consumer preferences, behavior, and attitudes. This helps companies to develop new products and services, improve marketing strategies, and increase customer satisfaction.
Health research: Descriptive research design is used in health research to describe the prevalence and distribution of a disease or health condition in a population. This helps healthcare providers to develop prevention and treatment strategies.
Educational research: Descriptive research design is used in educational research to describe the performance of students, schools, or educational programs. This helps educators to improve teaching methods and develop effective educational programs.
Social science research: Descriptive research design is used in social science research to describe social phenomena such as cultural norms, values, and beliefs. This helps researchers to understand social behavior and develop effective policies.
Public opinion research: Descriptive research design is used in public opinion research to understand the opinions and attitudes of the general public on various issues. This helps policymakers to develop effective policies that are aligned with public opinion.
Environmental research: Descriptive research design is used in environmental research to describe the environmental conditions of a particular region or ecosystem. This helps policymakers and environmentalists to develop effective conservation and preservation strategies.

Descriptive Research Design Examples

Here are some real-time examples of descriptive research designs:

A restaurant chain wants to understand the demographics and attitudes of its customers. They conduct a survey asking customers about their age, gender, income, frequency of visits, favorite menu items, and overall satisfaction. The survey data is analyzed using descriptive statistics and cross-tabulation to describe the characteristics of their customer base.
A medical researcher wants to describe the prevalence and risk factors of a particular disease in a population. They conduct a cross-sectional study in which they collect data from a sample of individuals using a standardized questionnaire. The data is analyzed using descriptive statistics and cross-tabulation to identify patterns in the prevalence and risk factors of the disease.
An education researcher wants to describe the learning outcomes of students in a particular school district. They collect test scores from a representative sample of students in the district and use descriptive statistics to calculate the mean, median, and standard deviation of the scores. They also create visualizations such as histograms and box plots to show the distribution of scores.
A marketing team wants to understand the attitudes and behaviors of consumers towards a new product. They conduct a series of focus groups and use qualitative coding to identify common themes and patterns in the data. They also create visualizations such as word clouds to show the most frequently mentioned topics.
An environmental scientist wants to describe the biodiversity of a particular ecosystem. They conduct an observational study in which they collect data on the species and abundance of plants and animals in the ecosystem. The data is analyzed using descriptive statistics to describe the diversity and richness of the ecosystem.

How to Conduct Descriptive Research Design

To conduct a descriptive research design, you can follow these general steps:

Define your research question: Clearly define the research question or problem that you want to address. Your research question should be specific and focused to guide your data collection and analysis.
Choose your research method: Select the most appropriate research method for your research question. As discussed earlier, common research methods for descriptive research include surveys, case studies, observational studies, cross-sectional studies, and longitudinal studies.
Design your study: Plan the details of your study, including the sampling strategy, data collection methods, and data analysis plan. Determine the sample size and sampling method, decide on the data collection tools (such as questionnaires, interviews, or observations), and outline your data analysis plan.
Collect data: Collect data from your sample or population using the data collection tools you have chosen. Ensure that you follow ethical guidelines for research and obtain informed consent from participants.
Analyze data: Use appropriate statistical or qualitative analysis methods to analyze your data. As discussed earlier, common data analysis methods for descriptive research include descriptive statistics, cross-tabulation, content analysis, qualitative coding, visualization, and comparative analysis.
I nterpret results: Interpret your findings in light of your research question and objectives. Identify patterns, trends, and relationships in the data, and describe the characteristics of your sample or population.
Draw conclusions and report results: Draw conclusions based on your analysis and interpretation of the data. Report your results in a clear and concise manner, using appropriate tables, graphs, or figures to present your findings. Ensure that your report follows accepted research standards and guidelines.

When to Use Descriptive Research Design

Descriptive research design is used in situations where the researcher wants to describe a population or phenomenon in detail. It is used to gather information about the current status or condition of a group or phenomenon without making any causal inferences. Descriptive research design is useful in the following situations:

Exploratory research: Descriptive research design is often used in exploratory research to gain an initial understanding of a phenomenon or population.
Identifying trends: Descriptive research design can be used to identify trends or patterns in a population, such as changes in consumer behavior or attitudes over time.
Market research: Descriptive research design is commonly used in market research to understand consumer preferences, behavior, and attitudes.
Health research: Descriptive research design is useful in health research to describe the prevalence and distribution of a disease or health condition in a population.
Social science research: Descriptive research design is used in social science research to describe social phenomena such as cultural norms, values, and beliefs.
Educational research: Descriptive research design is used in educational research to describe the performance of students, schools, or educational programs.

Purpose of Descriptive Research Design

The main purpose of descriptive research design is to describe and measure the characteristics of a population or phenomenon in a systematic and objective manner. It involves collecting data that describe the current status or condition of the population or phenomenon of interest, without manipulating or altering any variables.

The purpose of descriptive research design can be summarized as follows:

To provide an accurate description of a population or phenomenon: Descriptive research design aims to provide a comprehensive and accurate description of a population or phenomenon of interest. This can help researchers to develop a better understanding of the characteristics of the population or phenomenon.
To identify trends and patterns: Descriptive research design can help researchers to identify trends and patterns in the data, such as changes in behavior or attitudes over time. This can be useful for making predictions and developing strategies.
To generate hypotheses: Descriptive research design can be used to generate hypotheses or research questions that can be tested in future studies. For example, if a descriptive study finds a correlation between two variables, this could lead to the development of a hypothesis about the causal relationship between the variables.
To establish a baseline: Descriptive research design can establish a baseline or starting point for future research. This can be useful for comparing data from different time periods or populations.

Characteristics of Descriptive Research Design

Descriptive research design has several key characteristics that distinguish it from other research designs. Some of the main characteristics of descriptive research design are:

Objective : Descriptive research design is objective in nature, which means that it focuses on collecting factual and accurate data without any personal bias. The researcher aims to report the data objectively without any personal interpretation.
Non-experimental: Descriptive research design is non-experimental, which means that the researcher does not manipulate any variables. The researcher simply observes and records the behavior or characteristics of the population or phenomenon of interest.
Quantitative : Descriptive research design is quantitative in nature, which means that it involves collecting numerical data that can be analyzed using statistical techniques. This helps to provide a more precise and accurate description of the population or phenomenon.
Cross-sectional: Descriptive research design is often cross-sectional, which means that the data is collected at a single point in time. This can be useful for understanding the current state of the population or phenomenon, but it may not provide information about changes over time.
Large sample size: Descriptive research design typically involves a large sample size, which helps to ensure that the data is representative of the population of interest. A large sample size also helps to increase the reliability and validity of the data.
Systematic and structured: Descriptive research design involves a systematic and structured approach to data collection, which helps to ensure that the data is accurate and reliable. This involves using standardized procedures for data collection, such as surveys, questionnaires, or observation checklists.

Advantages of Descriptive Research Design

Descriptive research design has several advantages that make it a popular choice for researchers. Some of the main advantages of descriptive research design are:

Provides an accurate description: Descriptive research design is focused on accurately describing the characteristics of a population or phenomenon. This can help researchers to develop a better understanding of the subject of interest.
Easy to conduct: Descriptive research design is relatively easy to conduct and requires minimal resources compared to other research designs. It can be conducted quickly and efficiently, and data can be collected through surveys, questionnaires, or observations.
Useful for generating hypotheses: Descriptive research design can be used to generate hypotheses or research questions that can be tested in future studies. For example, if a descriptive study finds a correlation between two variables, this could lead to the development of a hypothesis about the causal relationship between the variables.
Large sample size : Descriptive research design typically involves a large sample size, which helps to ensure that the data is representative of the population of interest. A large sample size also helps to increase the reliability and validity of the data.
Can be used to monitor changes : Descriptive research design can be used to monitor changes over time in a population or phenomenon. This can be useful for identifying trends and patterns, and for making predictions about future behavior or attitudes.
Can be used in a variety of fields : Descriptive research design can be used in a variety of fields, including social sciences, healthcare, business, and education.

Limitation of Descriptive Research Design

Descriptive research design also has some limitations that researchers should consider before using this design. Some of the main limitations of descriptive research design are:

Cannot establish cause and effect: Descriptive research design cannot establish cause and effect relationships between variables. It only provides a description of the characteristics of the population or phenomenon of interest.
Limited generalizability: The results of a descriptive study may not be generalizable to other populations or situations. This is because descriptive research design often involves a specific sample or situation, which may not be representative of the broader population.
Potential for bias: Descriptive research design can be subject to bias, particularly if the researcher is not objective in their data collection or interpretation. This can lead to inaccurate or incomplete descriptions of the population or phenomenon of interest.
Limited depth: Descriptive research design may provide a superficial description of the population or phenomenon of interest. It does not delve into the underlying causes or mechanisms behind the observed behavior or characteristics.
Limited utility for theory development: Descriptive research design may not be useful for developing theories about the relationship between variables. It only provides a description of the variables themselves.
Relies on self-report data: Descriptive research design often relies on self-report data, such as surveys or questionnaires. This type of data may be subject to biases, such as social desirability bias or recall bias.

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v.25(5); 2020 Aug

An overview of the qualitative descriptive design within nursing research

Louise doyle.

Associate Professor in Mental Health Nursing, School of Nursing and Midwifery, Trinity College Dublin, Ireland

Catherine McCabe

Associate Professor in General Nursing, School of Nursing and Midwifery, Trinity College Dublin, Ireland

Brian Keogh

Assistant Professor in Mental Health Nursing, School of Nursing and Midwifery, Trinity College Dublin, Ireland

Annemarie Brady

Chair of Nursing and Chronic Illness, School of Nursing and Midwifery, Trinity College Dublin, Ireland

Qualitative descriptive designs are common in nursing and healthcare research due to their inherent simplicity, flexibility and utility in diverse healthcare contexts. However, the application of descriptive research is sometimes critiqued in terms of scientific rigor. Inconsistency in decision making within the research process coupled with a lack of transparency has created issues of credibility for this type of approach. It can be difficult to clearly differentiate what constitutes a descriptive research design from the range of other methodologies at the disposal of qualitative researchers.

This paper provides an overview of qualitative descriptive research, orientates to the underlying philosophical perspectives and key characteristics that define this approach and identifies the implications for healthcare practice and policy.

Methods and results

Using real-world examples from healthcare research, the paper provides insight to the practical application of descriptive research at all stages of the design process and identifies the critical elements that should be explicit when applying this approach.

Conclusions

By adding to the existing knowledge base, this paper enhances the information available to researchers who wish to use the qualitative descriptive approach, influencing the standard of how this approach is employed in healthcare research.

Introduction

Qualitative descriptive approaches to nursing and healthcare research provide a broad insight into particular phenomena and can be used in a variety of ways including as a standalone research design, as a precursor to larger qualitative studies and commonly as the qualitative component in mixed-methods studies. Despite the widespread use of descriptive approaches within nursing research, there is limited methodological guidance about this type of design in research texts or papers. The lack of adequate representation in research texts has at times resulted in novice researchers using other more complex qualitative designs including grounded theory or phenomenology without meeting the requirements of these approaches ( Lambert and Lambert, 2012 ), or having an appropriate rationale for use of these approaches. This suggests there is a need to have more discussion about how and why descriptive approaches to qualitative research are used. This serves to not only provide information and guidance for researchers, but to ensure acceptable standards in how this approach is applied in healthcare research.

Rationale for qualitative descriptive research

The selection of an appropriate approach to answer research questions is one of the most important stages of the research process; consequently, there is a requirement that researchers can clearly articulate and defend their selection. Those who wish to undertake qualitative research have a range of approaches available to them including grounded theory, phenomenology and ethnography. However, these designs may not be the most suitable for studies that do not require a deeply theoretical context and aim to stay close to and describe participants’ experiences. The most frequently proposed rationale for the use of a descriptive approach to is to provide straightforward descriptions of experiences and perceptions ( Sandelowski, 2010 ), particularly in areas where little is known about the topic under investigation. A qualitative descriptive design may be deemed most appropriate as it recognises the subjective nature of the problem, the different experiences participants have and will present the findings in a way that directly reflects or closely resembles the terminology used in the initial research question ( Bradshaw et al., 2017 ). This is particularly relevant in nursing and healthcare research, which is commonly concerned with how patients experience illness and associated healthcare interventions. The utilisation of a qualitative descriptive approach is often encouraged in Master’s level nurse education programmes as it enables novice clinical nurse researchers explore important healthcare questions that have direct implications and impact for their specific healthcare setting (Colorafi and Evans, 2016). As a Master’s level project is often the first piece of primary research undertaken by nurses, the use of a qualitative descriptive design provides an excellent method to address important clinical issues where the focus is not on increasing theoretical or conceptual understanding, but rather contributing to change and quality improvement in the practice setting ( Chafe, 2017 ).

This design is also frequently used within mixed-methods studies where qualitative data can explain quantitative findings in explanatory studies, be used for questionnaire development in exploratory studies and validate and corroborate findings in convergent studies ( Doyle et al., 2016 ). There has also been an increase in the use of qualitative descriptive research embedded in large-scale healthcare intervention studies, which can serve a number of purposes including identifying participants’ perceptions of why an intervention worked or, just as importantly, did not work and how the intervention might be improved ( Doyle et al., 2016 ). Using qualitative descriptive research in this manner can help to make the findings of intervention studies more clinically meaningful.

Philosophical and theoretical influences

Qualitative descriptive research generates data that describe the ‘who, what, and where of events or experiences’ from a subjective perspective ( Kim et al., 2017 , p. 23). From a philosophical perspective, this approach to research is best aligned with constructionism and critical theories that use interpretative and naturalistic methods ( Lincoln et al., 2017 ). These philosophical perspectives represent the view that reality exists within various contexts that are dynamic and perceived differently depending on the subject, therefore, reality is multiple and subjective ( Lincoln et al., 2017 ). In qualitative descriptive research, this translates into researchers being concerned with understanding the individual human experience in its unique context. This type of inquiry requires flexible research processes that are inductive and dynamic but do not transform the data beyond recognition from the phenomenon being studied ( Ormston et al., 2014 ; Sandelwoski 2010). Descriptive qualitative research has also been aligned with pragmatism ( Neergaard et al., 2009 ) where decisions are made about how the research should be conducted based on the aims or objectives and context of the study ( Ormston et al., 2014 ). The pragmatist researcher is not aligned to one particular view of knowledge generation or one particular methodology. Instead they look to the concepts or phenomena being studied to guide decision making in the research process, facilitating the selection of the most appropriate methods to answer the research question ( Bishop, 2015 ).

Perhaps linked to the practical application of pragmatism to research, that is, applying the best methods to answer the research question, is the classification of qualitative descriptive research by Sandelowski ( 2010 , p. 82) into a ‘distributed residual category’. This recognises and incorporates uncertainty about the phenomena being studied and the research methods used to study them. For researchers, it permits the use of one or more different types of inquiry, which is essential when acknowledging and exploring different realities and subjective experiences in relation to phenomena ( Long et al., 2018 ). Clarity, in terms of the rationale for the phenomenon being studied and the methods used by the researcher, emerges from the qualitative descriptive approach because the data gathered continue to remain close to the phenomenon throughout the study ( Sandelowski, 2010 ). For this to happen a flexible approach is required and this is evident in the practice of ‘borrowing’ elements of other qualitative methodologies such as grounded theory, phenomenology and ethnography ( Vaismoradi et al., 2013 ).

Regarded as a positive aspect by many researchers who are interested in studying human nature and phenomenon, others believe this flexibility leads to inconsistency across studies and in some cases complacency by researchers. This can result in vague or unexplained decision making around the research process and subsequent lack of credibility. Accordingly, nurse researchers need to be reflexive, that is, clear about their role and position in terms of the phenomena being studied, the context, the theoretical framework and all decision-making processes used in a qualitative descriptive study. This adds credibility to both the study and qualitative descriptive research.

Methods in qualitative descriptive research

As with any research study, the application of descriptive methods will emerge in response to the aims and objectives, which will influence the sampling, data collection and analysis phases of the study.

Most qualitative research aligns itself with non-probability sampling and descriptive research is no different. Descriptive research generally uses purposive sampling and a range of purposive sampling techniques have been described ( Palinkas et al., 2015 ). Many researchers use a combination of approaches such as convenience, opportunistic or snowball sampling as part of the sampling framework, which is determined by the desired sample and the phenomena being studied.

Purposive sampling refers to selecting research participants that can speak to the research aims and who have knowledge and experience of the phenomenon under scrutiny ( Ritchie et al., 2014 ). When purposive sampling is used in a study it delimits and narrows the study population; however, researchers need to remember that other characteristics of the sample will also affect the population, such as the location of the researcher and their flexibility to recruit participants from beyond their base. In addition, the heterogeneity of the population will need to be considered and how this might influence sampling and subsequent data collection and analysis ( Palinkas et al ., 2015 ). Take, for example, conducting research on the experience of caring for people with Alzheimer’s disease (AD). For the most part AD is a condition that affects older people and experiences of participants caring for older people will ultimately dominate the sample. However, AD also affects younger people and how this will impact on sampling needs to be considered before recruitment as both groups will have very different experiences, although there will be overlap. Teddlie and Fu (2007) suggest that although some purposive sampling techniques generate representative cases, most result in describing contrasting cases, which they argue are at the heart of qualitative analysis. To achieve this, Sandelowski (2010) suggests that maximum variation sampling is particularly useful in qualitative descriptive research, which may acknowledge the range of experiences that exist especially in healthcare research. Palinkas et al . (2015) describe maximum variation sampling as identifying shared patterns that emerge from heterogeneity. In other words, researchers attempt to include a wide range of participants and experiences when collecting data. This may be more difficult to achieve in areas where little is known about the substantive area and may depend on the researcher’s knowledge and immersion within the subject area.

Sample size will also need to be considered and although small sample sizes are common in qualitative descriptive research, researchers need to be careful they have enough data collected to meet the study aims ( Ritchie et al., 2014 ). Pre-determining the sample size prior to data collection may stifle the analytic process, resulting in too much or too little data. Traditionally, the gold standard for sample size in qualitative research is data saturation, which differs depending on the research design and the size of the population ( Fusch and Ness, 2015 ). Data saturation is reached ‘when there is enough information to replicate the study, when the ability to obtain additional new information has been attained, and when further coding is no longer feasible’ ( Fusch and Ness, 2015 , p. 1408). However, some argue that although saturation is often reported, it is rarely demonstrated in qualitative descriptive research reports ( Caelli et al., 2003 ; Malterud et al., 2016 ). If data saturation is used to determine sample size, it is suggested that greater emphasis be placed on demonstrating how saturation was reached and at what level to provide more credibility to sample sizes ( Caelli et al., 2003 ). Sample size calculation should be an estimate until saturation has been achieved through the concurrent processes of data collection and analysis. Where saturation has not been achieved, or where sample size has been predetermined for resource reasons, this should be clearly acknowledged. However, there is also a movement away from the reliance on data saturation as a measure of sample size in qualitative research ( Malterud et al., 2016 ). O’Reilly and Parker (2012) question the appropriateness of the rigid application of saturation as a sample size measure arguing that outside of Grounded Theory, its use is inconsistent and at times questionable. Malterud et al. (2016) focus instead on the concept of ‘information power’ to determine sample size. Here, they suggest sample size is determined by the amount of information the sample holds relevant to the actual study rather than the number of participants ( Malterud et al., 2016 ). Some guidance on specific sample size depending on research design has been provided in the literature; however, these are sometimes conflicting and in some cases lack evidence to support their claims ( Guest et al., 2006 ). This is further complicated by the range of qualitative designs and data collection approaches available.

Data collection

Data collection methods in qualitative descriptive research are diverse and aim to discover the who, what and where of phenomena ( Sandelowski, 2000 ). Although semi-structured individual face-to-face interviews are the most commonly used data collection approaches ( Kim et al ., 2017 ), focus groups, telephone interviews and online approaches are also used.

Focus groups involve people with similar characteristics coming together in a relaxed and permissive environment to share their thoughts, experiences and insights ( Krueger and Casey, 2009 ). Participants share their own views and experiences, but also listen to and reflect on the experiences of other group members. It is this synergistic process of interacting with other group members that refines individuals’ viewpoints to a deeper and more considered level and produces data and insights that would not be accessible without the interaction found in a group (Finch et al., 2014). Telephone interviews and online approaches are gaining more traction as they offer greater flexibility and reduced costs for researchers and ease of access for participants. In addition, they may help to achieve maximum variation sampling or examine experiences from a national or international perspective. Face-to-face interviews are often perceived as more appropriate than telephone interviews; however, this assumption has been challenged as evidence to support the use of telephone interviews emerges ( Ward et al., 2015 ). Online data collection also offers the opportunity to collect synchronous and asynchronous data using instant messaging and other online media ( Hooley et al., 2011 ). Online interviews or focus groups conducted via Skype or other media may overcome some of the limitations of telephone interviews, although observation of non-verbal communication may be more difficult to achieve ( Janghorban et al., 2014 ). Open-ended free-text responses in surveys have also been identified as useful data sources in qualitative descriptive studies ( Kim et al . , 2017 ) and in particular the use of online open-ended questions, which can have a large geographical reach ( Seixas et al., 2018 ). Observation is also cited as an approach to data collection in qualitative descriptive research ( Sandelowski, 2000 ; Lambert and Lambert, 2012 ); however, in a systematic review examining the characteristics of qualitative research studies, observation was cited as an additional source of data and was not used as a primary source of data collection ( Kim et al. , 2017 ).

Data analysis and interpretation

According to Lambert and Lambert (2012) , data analysis in qualitative descriptive research is data driven and does not use an approach that has emerged from a pre-existing philosophical or epistemological perspective. Within qualitative descriptive research, it is important analysis is kept at a level at which those to whom the research pertains are easily able to understand and so can use the findings in healthcare practice ( Chafe, 2017 ). The approach to analysis is dictated by the aims of the research and as qualitative descriptive research is generally explorative, inductive approaches will commonly need to be applied although deductive approaches can also be used ( Kim et al . , 2017 ).

Content and thematic analyses are the most commonly used data analysis techniques in qualitative descriptive research. Vaismoradi et al . (2013) argue that content and thematic analysis, although poorly understood and unevenly applied, offer legitimate ways of a lower level of interpretation that is often required in qualitative descriptive research. Sandelowski (2000) indicated that qualitative content analysis is the approach of choice in descriptive research; however, confusion exists between content and thematic analysis, which sometimes means researchers use a combination of the two. Vaismoradi et al. (2013) argue there are differences between the two and that content analysis allows the researchers to analyse the data qualitatively as well as being able to quantify the data whereas thematic analysis provides a purely qualitative account of the data that is richer and more detailed. Decisions to use one over the other will depend on the aims of the study, which will dictate the depth of analysis required. Although there is a range of analysis guidelines available, they share some characteristics and an overview of these, derived from some key texts ( Sandleowski, 2010 ; Braun and Clark, 2006 ; Newell and Burnard, 2006), is presented in Table 1 . Central to these guidelines is an attempt by the researcher to immerse themselves in the data and the ability to demonstrate a consistent and systematic approach to the analysis.

Common characteristics of descriptive qualitative analysis.

1. Transcribing and sorting the data.

2. Giving codes to the initial data obtained from observation, interviews, documentary analysis etc.

3. Adding comments/reflections etc. (memos).

4. Trying to identify similar phrases, patterns, themes, relationships, sequences.

5. Taking these patterns, themes to help focus the next wave of data collection.

6. Gradually elaborating a small set of generalisations that cover the consistencies you discern in the data.

7. Linking these generalisations to a formalised body of knowledge in the form of constructs or theories.

Coding in qualitative descriptive research can be inductive and emerge from the data, or a priori where they are based on a pre-determined template as in template analysis. Inductive codes can be ‘in vivo’ where the researcher uses the words or concepts as stated by the participants ( Howitt, 2019 ), or can be named by the researcher and grouped together to form emerging themes or categories through an iterative systematic process until the final themes emerge. Template analysis involves designing a coding template, which is designed inductively from a subset of the data and then applied to all the data and refined as appropriate ( King, 2012 ). It offers a standardised approach that may be useful when several researchers are involved in the analysis process.

Within qualitative research studies generally, the analysis of data and subsequent presentation of research findings can range from studies with a relatively minimal amount of interpretation to those with high levels of interpretation ( Sandelowski and Barroso, 2003 ). The degree of interpretation required in qualitative descriptive research is contentious. Sandelowski (2010) argues that although descriptive research produces findings that are ‘data-near’, they are nevertheless interpretative. Sandelowski (2010) reports that a common misconception in qualitative descriptive designs is that researchers do not need to include any level of analysis and interpretation and can rely solely on indiscriminately selecting direct quotations from participants to answer the research question(s). Although it is important to ensure those familiar with the topic under investigation can recognise their experiences in the description of it ( Kim et al . , 2017 ), this is not to say that there should be no transformation of data. Researchers using a qualitative descriptive design need to, through data analysis, move from un-interpreted participant quotations to interpreted research findings, which can still remain ‘data-near’ ( Sandeklwoski, 2010 ). Willis et al. (2016) suggest that researchers using the qualitative descriptive method might report a comprehensive thematic summary as findings, which moves beyond individual participant reports by developing an interpretation of a common theme. The extent of description and/or interpretation in a qualitative descriptive study is ultimately determined by the focus of the study (Neergard et al ., 2009).

As with any research design, ensuring the rigor or trustworthiness of findings from a qualitative descriptive study is crucial. For a more detailed consideration of the quality criteria in qualitative studies, readers are referred to the seminal work of Lincoln and Guba (1985) in which the four key criteria of credibility, dependability, confirmability and transferability are discussed. At the very least, researchers need to be clear about the methodological decisions taken during the study so readers can judge the trustworthiness of the study and ultimately the findings ( Hallberg, 2013 ). Being aware of personal assumptions and the role they play in the research process is also an important quality criterion (Colorafi and Evans, 2016) and these assumptions can be made explicit through the use of researcher reflexivity in the study ( Bradshaw et al., 2017 ).

Challenges in using a qualitative descriptive design

One of the challenges of utilising a qualitative descriptive design is responding to the charge that many qualitative designs have historically encountered, which is that qualitative designs lack the scientific rigor associated with quantitative approaches ( Vaismoradi et al . , 2013 ). The descriptive design faces further critique in this regard as, unlike other qualitative approaches such as phenomenology or grounded theory, it is not theory driven or oriented ( Neergaard et al ., 2009 ). However, it is suggested that this perceived limitation of qualitative descriptive research only holds true if it is used for the wrong purposes and not primarily for describing the phenomenon ( Neergaard et al ., 2009 ). Kahlke (2014) argues that rather than being atheoretical, qualitative descriptive approaches require researchers to consider to what extent theory will inform the study and are sufficiently flexible to leave space for researchers to utilise theoretical frameworks that are relevant and inform individual research studies. Kim et al. (2017) reported that most descriptive studies reviewed did not identify a theoretical or philosophical framework, but those that did used it to inform the development of either the interview guide or the data analysis framework, thereby identifying the potential use of theory in descriptive designs.

Another challenge around the use of qualitative descriptive research is that it can erroneously be seen as a ‘quick fix’ for researchers who want to employ qualitative methods, but perhaps lack the expertise or familiarity with qualitative research ( Sandelowski, 2010 ). Kim et al. (2017) report how in their review fewer than half of qualitative descriptive papers explicitly identified a rationale for choosing this design, suggesting that in some cases the rationale behind its use was ill considered. Providing a justification for choosing a particular research design is an important part of the research process and, in the case of qualitative descriptive research, a clear justification can offset concerns that a descriptive design was an expedient rather than a measured choice. For studies exploring participants’ experiences, which could be addressed using other qualitative designs, it also helps to clearly make a distinction as to why a descriptive design was the best choice for the research study ( Kim et al ., 2017 ). Similarly, there is a perception that the data analysis techniques most commonly associated with descriptive research – thematic and content analysis are the ‘easiest’ approaches to qualitative analysis; however, as Vaismoradi et al . (2013) suggest, this does not mean they produce low-quality research findings.

As previously identified, a further challenge with the use of qualitative descriptive methods is that as a research design it has limited visibility in research texts and methodological papers ( Kim et al ., 2017 ). This means that novice qualitative researchers have little guidance on how to design and implement a descriptive study as there is a lack of a ‘methodological rulebook’ to guide researchers ( Kahlke, 2014 ). It is also suggested that this lack of strict boundaries and rules around qualitative descriptive research also offers researchers flexibility to design a study using a variety of data collection and analysis approaches that best answer the research question ( Kahlke, 2014 ; Kim et al . , 2017 ). However, should researchers choose to integrate methods ‘borrowed’ from other qualitative designs such as phenomenology or grounded theory, they should do so with the caveat that they do not claim they are using designs they are not actually using ( Neergaard et al . , 2009 ).

Examples of the use of qualitative descriptive research in healthcare

Findings from qualitative descriptive studies within healthcare have the potential to describe the experiences of patients, families and health providers, inform the development of health interventions and policy and promote health and quality of life ( Neergaard et al ., 2009 ; Willis et al ., 2016 ). The examples provided here demonstrate different ways qualitative descriptive methods can be used in a range of healthcare settings.

Simon et al. (2015) used a qualitative descriptive design to identify the perspectives of seriously ill, older patients and their families on the barriers and facilitators to advance care planning. The authors provided a rationale for using a descriptive design, which was to gain a deeper understanding of the phenomenon under investigation. Data were gathered through nine open-ended questions on a researcher-administered questionnaire. Responses to all questions were recorded verbatim and transcribed. Using descriptive, interpretative and explanatory coding that transformed raw data recorded from 278 patients and 225 family members to more abstract ideas and concepts ( Simon et al. , 2015 ), a deeper understanding of the barriers and facilitators to advance care planning was developed. Three categories were developed that identified personal beliefs, access to doctors and interaction with doctors as the central barriers and facilitators to advance care planning. The use of a qualitative descriptive design facilitated the development of a schematic based on these three themes, which provides a framework for use by clinicians to guide improvement in advance care planning.

Focus group interviews are a common data collection method in qualitative descriptive studies and were the method of choice in a study by Pelentsov et al. (2015), which sought to identify the supportive care needs of parents whose child has a rare disease. The rationale provided for using a qualitative descriptive design was to obtain a ‘straight description of the phenomena’ and to provide analysis and interpretation of the findings that remained data-near and representative of the responses of participants. In this study, four semi-structured focus group interviews were conducted with 23 parents. The data from these focus groups were then subjected to a form of thematic analysis during which emerging theories and inferences were identified and organised into a series of thematic networks and ultimately into three global themes. These themes identified that a number of factors including social isolation and lack of knowledge on behalf of healthcare professionals significantly affected how supported parents felt. Identifying key areas of the supportive needs of parents using qualitative description provides direction to health professionals on how best to respond to and support parents of children with a rare disease.

The potential for findings from a qualitative descriptive study to impact on policy was identified in a study by Syme et al. (2016) , who noted a lack of guidance and policies around sexual expression management of residents in long-term care settings. In this study, 20 directors of nursing from long-term care settings were interviewed with a view to identifying challenges in addressing sexual expression in these settings and elicit their recommendations for addressing these challenges in practice and policy. Following thematic analysis, findings relating to what directors of nursing believed to be important components of policy to address sexual expression were identified. These included providing educational resources, having a person-centred care delivery model when responding to sexual expression and providing guidance when working with families. Findings from this qualitative descriptive study provide recommendations that can then feed in to a broader policy on sexual expression in long-term care settings.

The final example of the use of a qualitative descriptive study comes from a mixed-methods study comprising a randomised control trial and a qualitative process evaluation. He et al. (2015) sought to determine the effects of a play intervention for children on parental perioperative anxiety and to explore parents’ perceptions of the intervention. Parents who had children going for surgery were assigned to a control group or an intervention group. The intervention group took part in a 1-hour play therapy session with their child whereas the control group received usual care. Quantitative findings identified there was no difference in parents’ anxiety levels between the intervention and control group. However, qualitative findings identified that parents found the intervention helpful in preparing both themselves and their child for surgery and perceived a reduction in their anxiety about the procedure thereby capturing findings that were not captured by the quantitative measures. In addition, in the qualitative interviews, parents made suggestions about how the play group could be improved, which provides important data for the further development of the intervention.

These examples across a range of healthcare settings provide evidence of the way findings from qualitative descriptive research can be directly used to more fully understand the experiences and perspectives of patients, their families and healthcare providers in addition to guiding future healthcare practice and informing further research.

Qualitative research designs have made significant contributions to the development of nursing and healthcare practices and policy. The utilisation of qualitative descriptive research is common within nursing research and is gaining popularity with other healthcare professions. This paper has identified that the utilisation of this design can be particularly relevant to nursing and healthcare professionals undertaking a primary piece of research and provides an excellent method to address issues that are of real clinical significance to them and their practice setting. However, the conundrum facing researchers who wish to use this approach is its lack of visibility and transparency within methodological papers and texts, resulting in a deficit of available information to researchers when designing such studies. By adding to the existing knowledge base, this paper enhances the information available to researchers who wish to use the qualitative descriptive approach, thus influencing the standard in how this approach is employed in healthcare research. We highlight the need for researchers using this research approach to clearly outline the context, theoretical framework and concepts underpinning it and the decision-making process that informed the design of their qualitative descriptive study including chosen research methods, and how these contribute to the achievement of the study’s aims and objectives. Failure to describe these issues may have a negative impact on study credibility. As seen in our paper, qualitative descriptive studies have a role in healthcare research providing insight into service users and providers’ perceptions and experiences of a particular phenomenon, which can inform healthcare service provision.

Key points for policy, practice and/or research

Despite its widespread use, there is little methodological guidance to orientate novice nurse researchers when using the qualitative descriptive design. This paper provides this guidance and champions the qualitative descriptive design as appropriate to explore research questions that require accessible and understandable findings directly relevant to healthcare practice and policy.
This paper identifies how the use of a qualitative descriptive design gives direct voice to participants including patients and healthcare staff, allowing exploration of issues of real and immediate importance in the practice area.
This paper reports how within qualitative descriptive research, the analysis of data and presentation of findings in a way that is easily understood and recognised is important to contribute to the utilisation of research findings in nursing practice.
As this design is often overlooked in research texts despite its suitability to exploring many healthcare questions, this paper adds to the limited methodological guidance and has utility for researchers who wish to defend their rationale for the use of the qualitative descriptive design in nursing and healthcare research.

Louise Doyle (PhD, MSc, BNS, RNT, RPN) is an Associate Professor in Mental Health Nursing at the School of Nursing and Midwifery, Trinity College Dublin. Her research interests are in the area of self-harm and suicide and she has a particular interest and expertise in mixed-methods and qualitative research designs.

Catherine McCabe (PhD, MSc, BNS, RNT, RGN) is an Associate Professor in General Nursing at the School of Nursing and Midwifery, Trinity College Dublin. Her research interests and expertise are in the areas of digital health (chronic disease self-management and social/cultural wellbeing), cancer, dementia, arts and health and systematic reviews.

Brian Keogh (PhD, MSc, BNS, RNT, RPN) is an Assistant Professor in Mental Health Nursing at the School of Nursing and Midwifery, Trinity College Dublin. His main area of research interest is mental health recovery and he specialises in qualitative research approaches with a particular emphasis on grounded theory.

Annemarie Brady (PhD, MSc, BNS, RNT, RPN) is Chair of Nursing and Chronic Illness and Head of School of Nursing and Midwifery at Trinity College Dublin. Her research work has focused on the development of healthcare systems and workforce solutions to respond to increased chronic illness demands within healthcare. She has conducted a range of mixed-method research studies in collaboration with health service providers to examine issues around patient-related outcomes measures, workload measurement, work conditions, practice development, patient safety and competency among healthcare workers.

Margaret McCann (PhD, MSc, BNS, RNT, RGN) is an Assistant Professor in General Nursing at the School of Nursing and Midwifery, Trinity College Dublin. Research interests are focused on chronic illness management, the use of digital health and smart technology in supporting patient/client education, self-management and independence. Other research interests include conducting systematic reviews, infection prevention and control and exploring patient outcomes linked to chronic kidney disease.

Declaration of conflicting interests

The author(s) declared no potential conflicts of interest with respect to the research, authorship and/or publication of this article.

Ethical approval was not required for this paper as it is a methodological paper and does not report on participant data.

The author(s) received no financial support for the research, authorship and/or publication of this article.

Louise Doyle https://orcid.org/0000-0002-0153-8326

Margaret McCann https://orcid.org/0000-0002-7925-6396

Bishop FL. (2015) Using mixed methods in health research: Benefits and challenges . British Journal of Health Psychology 20 : 1–4. [ PubMed ] [ Google Scholar ]
Bradshaw C, Atkinson S, Doody O. (2017) Employing a qualitative description approach in health care research . Global Qualitative Nursing Research 4 : 1–8. [ PMC free article ] [ PubMed ] [ Google Scholar ]
Braun V, Clarke V. (2006) Using thematic analysis in psychology . Qualitative Research in Psychology 3 : 77–101. [ Google Scholar ]
Caelli K, Ray L, Mill J. (2003) ‘Clear as mud’: Toward greater clarity in generic qualitative research . International Journal of Qualitative Methods 2 : 1–13. [ Google Scholar ]
Chafe R. (2017) The Value of Qualitative Description in Health Services and Policy Research . Healthcare Policy 12 : 12–18. [ PMC free article ] [ PubMed ] [ Google Scholar ]
Doyle L, Brady AM, Byrne G. (2016) An overview of mixed methods research–revisited . Journal of Research in Nursing 21 : 623–635. [ Google Scholar ]
Finch H, Lewis J, Turley C. Ritchie J, Lewis J, McNaughton Nicholls C, Ormston R. Focus Groups . Qualitative Research Practice. A Guide for Social Science Students and Researchers , London: Sage, pp. 211–242. [ Google Scholar ]
Fusch PI, Ness LR. (2015) Are we there yet? Data saturation in qualitative research . The Qualitative Report 20 : 1408–1416. [ Google Scholar ]
Guest G, Bunce A, Johnson L. (2006) How many interviews are enough? An experiment with data saturation and variability . Field Methods 18 : 59–82. [ Google Scholar ]
Hallberg L. (2013) Quality criteria and generalization of results from qualitative studies . International Journal of Qualitative Studies in Health and Well-being 8 : 1. [ PMC free article ] [ PubMed ] [ Google Scholar ]
He HG, Zhu LX, Chan WCS, et al. (2015) A mixed-method study of effects of a therapeutic play intervention for children on parental anxiety and parents’ perceptions of the intervention . Journal of Advanced Nursing 71 ( 7 ): 1539–1551. [ PubMed ] [ Google Scholar ]
Hooley T, Wellens J, Marriott J. (2011) What is Online research? Using the Internet for Social Science Research , London: Bloomsbury Academic. [ Google Scholar ]
Howitt D. (2019) Introduction to Qualitative Methods in Psychology: Putting Theory into Practice , (4th edition). Harlow: Pearson Education Limited. [ Google Scholar ]
Janghorban R, Roudsari RL, Taghipour A. (2014) Skype interviewing: The new generation of online synchronous interview in qualitative research . International Journal of Qualitative Studies on Health and Wellbeing 9 . [ PMC free article ] [ PubMed ] [ Google Scholar ]
Kahlke RM. (2014) Generic qualitative approaches: Pitfalls and benefits of methodological mixology . International Journal of Qualitative Methods 13 : 37–52. [ Google Scholar ]
Kim H, Sefcik JS, Bradway C. (2017) Characteristics of qualitative descriptive studies: A systematic review . Research in Nursing & Health 40 : 23–42. [ PMC free article ] [ PubMed ] [ Google Scholar ]
King N. (2012) Doing Template Analysis . In: Symon G, Cassell C. (eds) Qualitative Organizational Research: Core Methods and Current Challenges , Los Angeles, CA: Sage. [ Google Scholar ]
Krueger RA, Casey MA. (2009) Focus Groups: A Practical Guide for Applied Research , 4th ed. Thousand Oaks, CA: Sage. [ Google Scholar ]
Lambert VA, Lambert CE. (2012) Qualitative descriptive research: An acceptable design . Pacific Rim International Journal of Nursing Research 16 : 255–256. [ Google Scholar ]
Lincoln YS, Guba EG. (1985) Naturalistic Inquiry , Newbury Park, CA: Sage. [ Google Scholar ]
Lincoln YS, Lynham SA, Guba EG. (2017) Paradigmatic Controversies, Contradictions and Emerging Confluences . In: NK Denzin, YS Guba (ed) The Sage Handbook of Qualitative Research , (5th edition). Thousand Oaks, CA: Sage. [ Google Scholar ]
Long KM, McDermott F, Meadows GN. (2018) Being pragmatic about healthcare complexity: Our experiences applying complexity theory and pragmatism to health services research . BMC Medicine 16 : 94. [ PMC free article ] [ PubMed ] [ Google Scholar ]
Malterud K, Siersma VD, Guassora AD. (2016) Sample size in qualitative interview studies: Guided by information power . Qualitative Health Research 26 ( 13 ): 1753–1760. [ PubMed ] [ Google Scholar ]
Neergaard MA, Olesen F, Andersen RS, et al. (2009) Qualitative description – the poor cousin of health research? BMC Medical Research Methodology 9 . [ PMC free article ] [ PubMed ] [ Google Scholar ]
Newell R, Burnard P. (2011) Research for Evidence Based Practice , Oxford: Blackwell Publishing. [ Google Scholar ]
O’Reilly M, Parker N. (2012) ‘Unsatisfactory Saturation’: A critical exploration of the notion of saturated sample sizes in qualitative research . Qualitative Research 13 ( 2 ): 190–197. [ Google Scholar ]
Ormston R, Spencer L, Barnard M, et al. (2014) The foundations of qualitative research . In: Ritchie J, Lewis J, McNaughton Nicholls C, Ormston R. (eds) Qualitative Research Practice. A Guide for Social Science Students and Researchers , London: Sage, pp. 1–25. [ Google Scholar ]
Palinkas LA, Horwitz SM, Green CA, et al. (2015) Purposeful sampling for qualitative data collection and analysis in mixed method implementation research . Administration and Policy in Mental Health and Mental Health Services Research 42 : 533–544. [ PMC free article ] [ PubMed ] [ Google Scholar ]
Pelentsov LL, Fielder AL, Esterman AJ. (2016) The supportive care needs of parents with a child with a rare disease: A qualitative descriptive study . Journal of Pediatric Nursing 31 ( 3 ): e207–e218. [ PubMed ] [ Google Scholar ]
Ritchie J, Lewis J, Elam G, et al. (2014) Designing and selecting samples . In: Ritchie J, Lewis J, McNaughton Nicholls C, Ormston R. (eds) Qualitative Research Practice. A Guide for Social Science Students and Researchers , London: Sage, pp. 111–145. [ Google Scholar ]
Sandelowski M. (2000) Whatever happened to qualitative description? Research in Nursing & Health 23 : 334–340. [ PubMed ] [ Google Scholar ]
Sandelowski M. (2010) What’s in a name? Qualitative description revisited . Research in Nursing & Health 33 : 77–84. [ PubMed ] [ Google Scholar ]
Sandelowski M, Barroso J. (2003) Classifying the findings in qualitative studies . Qualitative Health Research 13 : 905–923. [ PubMed ] [ Google Scholar ]
Seixas BV, Smith N, Mitton C. (2018) The qualitative descriptive approach in international comparative studies: Using online qualitative surveys . International Journal of Health Policy Management 7 ( 9 ): 778–781. [ PMC free article ] [ PubMed ] [ Google Scholar ]
Simon J, Porterfield P, Bouchal SR, et al. (2015) ‘Not yet’ and ‘just ask’: Barriers and facilitators to advance care planning – a qualitative descriptive study of the perspectives of seriously ill, older patients and their families . BMJ Supportive & Palliative Care 5 : 54–62. [ PubMed ] [ Google Scholar ]
Syme ML, Lichtenberg P, Moye J. (2016) Recommendations for sexual expression management in long-term care: A qualitative needs assessment . Journal of Advanced Nursing 72 ( 10 ): 2457–2467. [ PMC free article ] [ PubMed ] [ Google Scholar ]
Teddlie C, Yu F. (2007) Mixed methods sampling: A typology with examples . Journal of Mixed Methods Research 1 : 77–100. [ Google Scholar ]
Vaismoradi M, Turunen H, Bondas T. (2013) Content analysis and thematic analysis: Implications for conducting a qualitative descriptive study . Nursing & Health Sciences 15 : 398–405. [ PubMed ] [ Google Scholar ]
Ward K, Gott M, Hoare K. (2015) Participants’ views of telephone interviews within a grounded theory study . Journal of Advanced Nursing 71 : 2775–2785. [ PubMed ] [ Google Scholar ]
Willis DG, Sullivan-Bolyai S, Knafl K, et al. (2016) Distinguishing features and similarities between descriptive phenomenological and qualitative descriptive research . Western Journal of Nursing Research 38 : 1185–1204. [ PubMed ] [ Google Scholar ]

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Understanding Descriptive Research Designs and Methods

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1 Author Affiliation: Senior Nurse Scientist and Clinical Nurse Specialist, Office of Nursing Research & Innovation, Nursing Institute, Cleveland Clinic, Ohio.
PMID: 31789957
DOI: 10.1097/NUR.0000000000000493

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What is descriptive research?

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5 February 2023

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Descriptive research is a common investigatory model used by researchers in various fields, including social sciences, linguistics, and academia.

Read on to understand the characteristics of descriptive research and explore its underlying techniques, processes, and procedures.

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Descriptive research is an exploratory research method. It enables researchers to precisely and methodically describe a population, circumstance, or phenomenon.

As the name suggests, descriptive research describes the characteristics of the group, situation, or phenomenon being studied without manipulating variables or testing hypotheses . This can be reported using surveys , observational studies, and case studies. You can use both quantitative and qualitative methods to compile the data.

Besides making observations and then comparing and analyzing them, descriptive studies often develop knowledge concepts and provide solutions to critical issues. It always aims to answer how the event occurred, when it occurred, where it occurred, and what the problem or phenomenon is.

Characteristics of descriptive research

The following are some of the characteristics of descriptive research:

Quantitativeness

Descriptive research can be quantitative as it gathers quantifiable data to statistically analyze a population sample. These numbers can show patterns, connections, and trends over time and can be discovered using surveys, polls, and experiments.

Qualitativeness

Descriptive research can also be qualitative. It gives meaning and context to the numbers supplied by quantitative descriptive research .

Researchers can use tools like interviews, focus groups, and ethnographic studies to illustrate why things are what they are and help characterize the research problem. This is because it’s more explanatory than exploratory or experimental research.

Uncontrolled variables

Descriptive research differs from experimental research in that researchers cannot manipulate the variables. They are recognized, scrutinized, and quantified instead. This is one of its most prominent features.

Cross-sectional studies

Descriptive research is a cross-sectional study because it examines several areas of the same group. It involves obtaining data on multiple variables at the personal level during a certain period. It’s helpful when trying to understand a larger community’s habits or preferences.

Carried out in a natural environment

Descriptive studies are usually carried out in the participants’ everyday environment, which allows researchers to avoid influencing responders by collecting data in a natural setting. You can use online surveys or survey questions to collect data or observe.

Basis for further research

You can further dissect descriptive research’s outcomes and use them for different types of investigation. The outcomes also serve as a foundation for subsequent investigations and can guide future studies. For example, you can use the data obtained in descriptive research to help determine future research designs.

Descriptive research methods

There are three basic approaches for gathering data in descriptive research: observational, case study, and survey.

You can use surveys to gather data in descriptive research. This involves gathering information from many people using a questionnaire and interview .

Surveys remain the dominant research tool for descriptive research design. Researchers can conduct various investigations and collect multiple types of data (quantitative and qualitative) using surveys with diverse designs.

You can conduct surveys over the phone, online, or in person. Your survey might be a brief interview or conversation with a set of prepared questions intended to obtain quick information from the primary source.

Observation

This descriptive research method involves observing and gathering data on a population or phenomena without manipulating variables. It is employed in psychology, market research , and other social science studies to track and understand human behavior.

Observation is an essential component of descriptive research. It entails gathering data and analyzing it to see whether there is a relationship between the two variables in the study. This strategy usually allows for both qualitative and quantitative data analysis.

Case studies

A case study can outline a specific topic’s traits. The topic might be a person, group, event, or organization.

It involves using a subset of a larger group as a sample to characterize the features of that larger group.

You can generalize knowledge gained from studying a case study to benefit a broader audience.

This approach entails carefully examining a particular group, person, or event over time. You can learn something new about the study topic by using a small group to better understand the dynamics of the entire group.

Types of descriptive research

There are several types of descriptive study. The most well-known include cross-sectional studies, census surveys, sample surveys, case reports, and comparison studies.

Case reports and case series

In the healthcare and medical fields, a case report is used to explain a patient’s circumstances when suffering from an uncommon illness or displaying certain symptoms. Case reports and case series are both collections of related cases. They have aided the advancement of medical knowledge on countless occasions.

The normative component is an addition to the descriptive survey. In the descriptive–normative survey, you compare the study’s results to the norm.

Descriptive survey

This descriptive type of research employs surveys to collect information on various topics. This data aims to determine the degree to which certain conditions may be attained.

You can extrapolate or generalize the information you obtain from sample surveys to the larger group being researched.

Correlative survey

Correlative surveys help establish if there is a positive, negative, or neutral connection between two variables.

Performing census surveys involves gathering relevant data on several aspects of a given population. These units include individuals, families, organizations, objects, characteristics, and properties.

During descriptive research, you gather different degrees of interest over time from a specific population. Cross-sectional studies provide a glimpse of a phenomenon’s prevalence and features in a population. There are no ethical challenges with them and they are quite simple and inexpensive to carry out.

Comparative studies

These surveys compare the two subjects’ conditions or characteristics. The subjects may include research variables, organizations, plans, and people.

Comparison points, assumption of similarities, and criteria of comparison are three important variables that affect how well and accurately comparative studies are conducted.

For instance, descriptive research can help determine how many CEOs hold a bachelor’s degree and what proportion of low-income households receive government help.

Pros and cons

The primary advantage of descriptive research designs is that researchers can create a reliable and beneficial database for additional study. To conduct any inquiry, you need access to reliable information sources that can give you a firm understanding of a situation.

Quantitative studies are time- and resource-intensive, so knowing the hypotheses viable for testing is crucial. The basic overview of descriptive research provides helpful hints as to which variables are worth quantitatively examining. This is why it’s employed as a precursor to quantitative research designs.

Some experts view this research as untrustworthy and unscientific. However, there is no way to assess the findings because you don’t manipulate any variables statistically.

Cause-and-effect correlations also can’t be established through descriptive investigations. Additionally, observational study findings cannot be replicated, which prevents a review of the findings and their replication.

The absence of statistical and in-depth analysis and the rather superficial character of the investigative procedure are drawbacks of this research approach.

Descriptive research examples and applications

Several descriptive research examples are emphasized based on their types, purposes, and applications. Research questions often begin with “What is …” These studies help find solutions to practical issues in social science, physical science, and education.

Here are some examples and applications of descriptive research:

Determining consumer perception and behavior

Organizations use descriptive research designs to determine how various demographic groups react to a certain product or service.

For example, a business looking to sell to its target market should research the market’s behavior first. When researching human behavior in response to a cause or event, the researcher pays attention to the traits, actions, and responses before drawing a conclusion.

Scientific classification

Scientific descriptive research enables the classification of organisms and their traits and constituents.

Measuring data trends

A descriptive study design’s statistical capabilities allow researchers to track data trends over time. It’s frequently used to determine the study target’s current circumstances and underlying patterns.

Conduct comparison

Organizations can use a descriptive research approach to learn how various demographics react to a certain product or service. For example, you can study how the target market responds to a competitor’s product and use that information to infer their behavior.

Bottom line

A descriptive research design is suitable for exploring certain topics and serving as a prelude to larger quantitative investigations. It provides a comprehensive understanding of the “what” of the group or thing you’re investigating.

This research type acts as the cornerstone of other research methodologies . It is distinctive because it can use quantitative and qualitative research approaches at the same time.

What is descriptive research design?

Descriptive research design aims to systematically obtain information to describe a phenomenon, situation, or population. More specifically, it helps answer the what, when, where, and how questions regarding the research problem rather than the why.

How does descriptive research compare to qualitative research?

Despite certain parallels, descriptive research concentrates on describing phenomena, while qualitative research aims to understand people better.

How do you analyze descriptive research data?

Data analysis involves using various methodologies, enabling the researcher to evaluate and provide results regarding validity and reliability.

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Bridging the Gap: Overcome these 7 flaws in descriptive research design

Descriptive research design is a powerful tool used by scientists and researchers to gather information about a particular group or phenomenon. This type of research provides a detailed and accurate picture of the characteristics and behaviors of a particular population or subject. By observing and collecting data on a given topic, descriptive research helps researchers gain a deeper understanding of a specific issue and provides valuable insights that can inform future studies.

In this blog, we will explore the definition, characteristics, and common flaws in descriptive research design, and provide tips on how to avoid these pitfalls to produce high-quality results. Whether you are a seasoned researcher or a student just starting, understanding the fundamentals of descriptive research design is essential to conducting successful scientific studies.

Table of Contents

What Is Descriptive Research Design?

The descriptive research design involves observing and collecting data on a given topic without attempting to infer cause-and-effect relationships. The goal of descriptive research is to provide a comprehensive and accurate picture of the population or phenomenon being studied and to describe the relationships, patterns, and trends that exist within the data.

Descriptive research methods can include surveys, observational studies , and case studies, and the data collected can be qualitative or quantitative . The findings from descriptive research provide valuable insights and inform future research, but do not establish cause-and-effect relationships.

Importance of Descriptive Research in Scientific Studies

1. understanding of a population or phenomenon.

Descriptive research provides a comprehensive picture of the characteristics and behaviors of a particular population or phenomenon, allowing researchers to gain a deeper understanding of the topic.

2. Baseline Information

The information gathered through descriptive research can serve as a baseline for future research and provide a foundation for further studies.

3. Informative Data

Descriptive research can provide valuable information and insights into a particular topic, which can inform future research, policy decisions, and programs.

4. Sampling Validation

Descriptive research can be used to validate sampling methods and to help researchers determine the best approach for their study.

5. Cost Effective

Descriptive research is often less expensive and less time-consuming than other research methods , making it a cost-effective way to gather information about a particular population or phenomenon.

6. Easy to Replicate

Descriptive research is straightforward to replicate, making it a reliable way to gather and compare information from multiple sources.

Key Characteristics of Descriptive Research Design

The primary purpose of descriptive research is to describe the characteristics, behaviors, and attributes of a particular population or phenomenon.

2. Participants and Sampling

Descriptive research studies a particular population or sample that is representative of the larger population being studied. Furthermore, sampling methods can include convenience, stratified, or random sampling.

3. Data Collection Techniques

Descriptive research typically involves the collection of both qualitative and quantitative data through methods such as surveys, observational studies, case studies, or focus groups.

4. Data Analysis

Descriptive research data is analyzed to identify patterns, relationships, and trends within the data. Statistical techniques , such as frequency distributions and descriptive statistics, are commonly used to summarize and describe the data.

5. Focus on Description

Descriptive research is focused on describing and summarizing the characteristics of a particular population or phenomenon. It does not make causal inferences.

6. Non-Experimental

Descriptive research is non-experimental, meaning that the researcher does not manipulate variables or control conditions. The researcher simply observes and collects data on the population or phenomenon being studied.

When Can a Researcher Conduct Descriptive Research?

A researcher can conduct descriptive research in the following situations:

To better understand a particular population or phenomenon
To describe the relationships between variables
To describe patterns and trends
To validate sampling methods and determine the best approach for a study
To compare data from multiple sources.

Types of Descriptive Research Design

1. survey research.

Surveys are a type of descriptive research that involves collecting data through self-administered or interviewer-administered questionnaires. Additionally, they can be administered in-person, by mail, or online, and can collect both qualitative and quantitative data.

2. Observational Research

Observational research involves observing and collecting data on a particular population or phenomenon without manipulating variables or controlling conditions. It can be conducted in naturalistic settings or controlled laboratory settings.

3. Case Study Research

Case study research is a type of descriptive research that focuses on a single individual, group, or event. It involves collecting detailed information on the subject through a variety of methods, including interviews, observations, and examination of documents.

4. Focus Group Research

Focus group research involves bringing together a small group of people to discuss a particular topic or product. Furthermore, the group is usually moderated by a researcher and the discussion is recorded for later analysis.

5. Ethnographic Research

Ethnographic research involves conducting detailed observations of a particular culture or community. It is often used to gain a deep understanding of the beliefs, behaviors, and practices of a particular group.

Advantages of Descriptive Research Design

1. provides a comprehensive understanding.

Descriptive research provides a comprehensive picture of the characteristics, behaviors, and attributes of a particular population or phenomenon, which can be useful in informing future research and policy decisions.

2. Non-invasive

Descriptive research is non-invasive and does not manipulate variables or control conditions, making it a suitable method for sensitive or ethical concerns.

3. Flexibility

Descriptive research allows for a wide range of data collection methods , including surveys, observational studies, case studies, and focus groups, making it a flexible and versatile research method.

4. Cost-effective

Descriptive research is often less expensive and less time-consuming than other research methods. Moreover, it gives a cost-effective option to many researchers.

5. Easy to Replicate

Descriptive research is easy to replicate, making it a reliable way to gather and compare information from multiple sources.

6. Informs Future Research

The insights gained from a descriptive research can inform future research and inform policy decisions and programs.

Disadvantages of Descriptive Research Design

1. limited scope.

Descriptive research only provides a snapshot of the current situation and cannot establish cause-and-effect relationships.

2. Dependence on Existing Data

Descriptive research relies on existing data, which may not always be comprehensive or accurate.

3. Lack of Control

Researchers have no control over the variables in descriptive research, which can limit the conclusions that can be drawn.

The researcher’s own biases and preconceptions can influence the interpretation of the data.

5. Lack of Generalizability

Descriptive research findings may not be applicable to other populations or situations.

6. Lack of Depth

Descriptive research provides a surface-level understanding of a phenomenon, rather than a deep understanding.

7. Time-consuming

Descriptive research often requires a large amount of data collection and analysis, which can be time-consuming and resource-intensive.

7 Ways to Avoid Common Flaws While Designing Descriptive Research

1. Clearly define the research question

A clearly defined research question is the foundation of any research study, and it is important to ensure that the question is both specific and relevant to the topic being studied.

2. Choose the appropriate research design

Choosing the appropriate research design for a study is crucial to the success of the study. Moreover, researchers should choose a design that best fits the research question and the type of data needed to answer it.

3. Select a representative sample

Selecting a representative sample is important to ensure that the findings of the study are generalizable to the population being studied. Researchers should use a sampling method that provides a random and representative sample of the population.

4. Use valid and reliable data collection methods

Using valid and reliable data collection methods is important to ensure that the data collected is accurate and can be used to answer the research question. Researchers should choose methods that are appropriate for the study and that can be administered consistently and systematically.

5. Minimize bias

Bias can significantly impact the validity and reliability of research findings. Furthermore, it is important to minimize bias in all aspects of the study, from the selection of participants to the analysis of data.

6. Ensure adequate sample size

An adequate sample size is important to ensure that the results of the study are statistically significant and can be generalized to the population being studied.

7. Use appropriate data analysis techniques

The appropriate data analysis technique depends on the type of data collected and the research question being asked. Researchers should choose techniques that are appropriate for the data and the question being asked.

Have you worked on descriptive research designs? How was your experience creating a descriptive design? What challenges did you face? Do write to us or leave a comment below and share your insights on descriptive research designs!

extremely very educative

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Descriptive Research Designs: Types, Examples & Methods

One of the components of research is getting enough information about the research problem—the what, how, when and where answers, which is why descriptive research is an important type of research. It is very useful when conducting research whose aim is to identify characteristics, frequencies, trends, correlations, and categories.

This research method takes a problem with little to no relevant information and gives it a befitting description using qualitative and quantitative research method s. Descriptive research aims to accurately describe a research problem.

In the subsequent sections, we will be explaining what descriptive research means, its types, examples, and data collection methods.

What is Descriptive Research?

Descriptive research is a type of research that describes a population, situation, or phenomenon that is being studied. It focuses on answering the how, what, when, and where questions If a research problem, rather than the why.

This is mainly because it is important to have a proper understanding of what a research problem is about before investigating why it exists in the first place.

For example, an investor considering an investment in the ever-changing Amsterdam housing market needs to understand what the current state of the market is, how it changes (increasing or decreasing), and when it changes (time of the year) before asking for the why. This is where descriptive research comes in.

What Are The Types of Descriptive Research?

Descriptive research is classified into different types according to the kind of approach that is used in conducting descriptive research. The different types of descriptive research are highlighted below:

Descriptive-survey

Descriptive survey research uses surveys to gather data about varying subjects. This data aims to know the extent to which different conditions can be obtained among these subjects.

For example, a researcher wants to determine the qualification of employed professionals in Maryland. He uses a survey as his research instrument , and each item on the survey related to qualifications is subjected to a Yes/No answer.

This way, the researcher can describe the qualifications possessed by the employed demographics of this community.

Descriptive-normative survey

This is an extension of the descriptive survey, with the addition being the normative element. In the descriptive-normative survey, the results of the study should be compared with the norm.

For example, an organization that wishes to test the skills of its employees by a team may have them take a skills test. The skills tests are the evaluation tool in this case, and the result of this test is compared with the norm of each role.

If the score of the team is one standard deviation above the mean, it is very satisfactory, if within the mean, satisfactory, and one standard deviation below the mean is unsatisfactory.

Descriptive-status

This is a quantitative description technique that seeks to answer questions about real-life situations. For example, a researcher researching the income of the employees in a company, and the relationship with their performance.

A survey will be carried out to gather enough data about the income of the employees, then their performance will be evaluated and compared to their income. This will help determine whether a higher income means better performance and low income means lower performance or vice versa.

Descriptive-analysis

The descriptive-analysis method of research describes a subject by further analyzing it, which in this case involves dividing it into 2 parts. For example, the HR personnel of a company that wishes to analyze the job role of each employee of the company may divide the employees into the people that work at the Headquarters in the US and those that work from Oslo, Norway office.

A questionnaire is devised to analyze the job role of employees with similar salaries and who work in similar positions.

Descriptive classification

This method is employed in biological sciences for the classification of plants and animals. A researcher who wishes to classify the sea animals into different species will collect samples from various search stations, then classify them accordingly.

Descriptive-comparative

In descriptive-comparative research, the researcher considers 2 variables that are not manipulated, and establish a formal procedure to conclude that one is better than the other. For example, an examination body wants to determine the better method of conducting tests between paper-based and computer-based tests.

A random sample of potential participants of the test may be asked to use the 2 different methods, and factors like failure rates, time factors, and others will be evaluated to arrive at the best method.

Correlative Survey

Correlative surveys are used to determine whether the relationship between 2 variables is positive, negative, or neutral. That is, if 2 variables say X and Y are directly proportional, inversely proportional or are not related to each other.

Examples of Descriptive Research

There are different examples of descriptive research, that may be highlighted from its types, uses, and applications. However, we will be restricting ourselves to only 3 distinct examples in this article.

Comparing Student Performance:

An academic institution may wish 2 compare the performance of its junior high school students in English language and Mathematics. This may be used to classify students based on 2 major groups, with one group going ahead to study while courses, while the other study courses in the Arts & Humanities field.

Students who are more proficient in mathematics will be encouraged to go into STEM and vice versa. Institutions may also use this data to identify students’ weak points and work on ways to assist them.

Scientific Classification

During the major scientific classification of plants, animals, and periodic table elements, the characteristics and components of each subject are evaluated and used to determine how they are classified.

For example, living things may be classified into kingdom Plantae or kingdom animal is depending on their nature. Further classification may group animals into mammals, pieces, vertebrae, invertebrae, etc.

All these classifications are made a result of descriptive research which describes what they are.

Human Behavior

When studying human behaviour based on a factor or event, the researcher observes the characteristics, behaviour, and reaction, then use it to conclude. A company willing to sell to its target market needs to first study the behaviour of the market.

This may be done by observing how its target reacts to a competitor’s product, then use it to determine their behaviour.

What are the Characteristics of Descriptive Research?

The characteristics of descriptive research can be highlighted from its definition, applications, data collection methods, and examples. Some characteristics of descriptive research are:

Quantitativeness

Descriptive research uses a quantitative research method by collecting quantifiable information to be used for statistical analysis of the population sample. This is very common when dealing with research in the physical sciences.

Qualitativeness

It can also be carried out using the qualitative research method, to properly describe the research problem. This is because descriptive research is more explanatory than exploratory or experimental.

Uncontrolled variables

In descriptive research, researchers cannot control the variables like they do in experimental research.

The basis for further research

The results of descriptive research can be further analyzed and used in other research methods. It can also inform the next line of research, including the research method that should be used.

This is because it provides basic information about the research problem, which may give birth to other questions like why a particular thing is the way it is.

Why Use Descriptive Research Design?

Descriptive research can be used to investigate the background of a research problem and get the required information needed to carry out further research. It is used in multiple ways by different organizations, and especially when getting the required information about their target audience.

Define subject characteristics :

It is used to determine the characteristics of the subjects, including their traits, behaviour, opinion, etc. This information may be gathered with the use of surveys, which are shared with the respondents who in this case, are the research subjects.

For example, a survey evaluating the number of hours millennials in a community spends on the internet weekly, will help a service provider make informed business decisions regarding the market potential of the community.

Measure Data Trends

It helps to measure the changes in data over some time through statistical methods. Consider the case of individuals who want to invest in stock markets, so they evaluate the changes in prices of the available stocks to make a decision investment decision.

Brokerage companies are however the ones who carry out the descriptive research process, while individuals can view the data trends and make decisions.

Descriptive research is also used to compare how different demographics respond to certain variables. For example, an organization may study how people with different income levels react to the launch of a new Apple phone.

This kind of research may take a survey that will help determine which group of individuals are purchasing the new Apple phone. Do the low-income earners also purchase the phone, or only the high-income earners do?

Further research using another technique will explain why low-income earners are purchasing the phone even though they can barely afford it. This will help inform strategies that will lure other low-income earners and increase company sales.

Validate existing conditions

When you are not sure about the validity of an existing condition, you can use descriptive research to ascertain the underlying patterns of the research object. This is because descriptive research methods make an in-depth analysis of each variable before making conclusions.

Conducted Overtime

Descriptive research is conducted over some time to ascertain the changes observed at each point in time. The higher the number of times it is conducted, the more authentic the conclusion will be.

What are the Disadvantages of Descriptive Research?

Response and Non-response Bias

Respondents may either decide not to respond to questions or give incorrect responses if they feel the questions are too confidential. When researchers use observational methods, respondents may also decide to behave in a particular manner because they feel they are being watched.

The researcher may decide to influence the result of the research due to personal opinion or bias towards a particular subject. For example, a stockbroker who also has a business of his own may try to lure investors into investing in his own company by manipulating results.
A case-study or sample taken from a large population is not representative of the whole population.
Limited scope:The scope of descriptive research is limited to the what of research, with no information on why thereby limiting the scope of the research.

What are the Data Collection Methods in Descriptive Research?

There are 3 main data collection methods in descriptive research, namely; observational method, case study method, and survey research.

1. Observational Method

The observational method allows researchers to collect data based on their view of the behaviour and characteristics of the respondent, with the respondents themselves not directly having an input. It is often used in market research, psychology, and some other social science research to understand human behaviour.

It is also an important aspect of physical scientific research, with it being one of the most effective methods of conducting descriptive research . This process can be said to be either quantitative or qualitative.

Quantitative observation involved the objective collection of numerical data , whose results can be analyzed using numerical and statistical methods.

Qualitative observation, on the other hand, involves the monitoring of characteristics and not the measurement of numbers. The researcher makes his observation from a distance, records it, and is used to inform conclusions.

2. Case Study Method

A case study is a sample group (an individual, a group of people, organizations, events, etc.) whose characteristics are used to describe the characteristics of a larger group in which the case study is a subgroup. The information gathered from investigating a case study may be generalized to serve the larger group.

This generalization, may, however, be risky because case studies are not sufficient to make accurate predictions about larger groups. Case studies are a poor case of generalization.

3. Survey Research

This is a very popular data collection method in research designs. In survey research, researchers create a survey or questionnaire and distribute it to respondents who give answers.

Generally, it is used to obtain quick information directly from the primary source and also conducting rigorous quantitative and qualitative research. In some cases, survey research uses a blend of both qualitative and quantitative strategies.

Survey research can be carried out both online and offline using the following methods

Online Surveys: This is a cheap method of carrying out surveys and getting enough responses. It can be carried out using Formplus, an online survey builder. Formplus has amazing tools and features that will help increase response rates.
Offline Surveys: This includes paper forms, mobile offline forms , and SMS-based forms.

What Are The Differences Between Descriptive and Correlational Research?

Before going into the differences between descriptive and correlation research, we need to have a proper understanding of what correlation research is about. Therefore, we will be giving a summary of the correlation research below.

Correlational research is a type of descriptive research, which is used to measure the relationship between 2 variables, with the researcher having no control over them. It aims to find whether there is; positive correlation (both variables change in the same direction), negative correlation (the variables change in the opposite direction), or zero correlation (there is no relationship between the variables).

Correlational research may be used in 2 situations;

(i) when trying to find out if there is a relationship between two variables, and

(ii) when a causal relationship is suspected between two variables, but it is impractical or unethical to conduct experimental research that manipulates one of the variables.

Below are some of the differences between correlational and descriptive research:

Definitions :

Descriptive research aims is a type of research that provides an in-depth understanding of the study population, while correlational research is the type of research that measures the relationship between 2 variables.

Characteristics :

Descriptive research provides descriptive data explaining what the research subject is about, while correlation research explores the relationship between data and not their description.

Predictions :

Predictions cannot be made in descriptive research while correlation research accommodates the possibility of making predictions.

Descriptive Research vs. Causal Research

Descriptive research and causal research are both research methodologies, however, one focuses on a subject’s behaviors while the latter focuses on a relationship’s cause-and-effect. To buttress the above point, descriptive research aims to describe and document the characteristics, behaviors, or phenomena of a particular or specific population or situation.

It focuses on providing an accurate and detailed account of an already existing state of affairs between variables. Descriptive research answers the questions of “what,” “where,” “when,” and “how” without attempting to establish any causal relationships or explain any underlying factors that might have caused the behavior.

Causal research, on the other hand, seeks to determine cause-and-effect relationships between variables. It aims to point out the factors that influence or cause a particular result or behavior. Causal research involves manipulating variables, controlling conditions or a subgroup, and observing the resulting effects. The primary objective of causal research is to establish a cause-effect relationship and provide insights into why certain phenomena happen the way they do.

Descriptive Research vs. Analytical Research

Descriptive research provides a detailed and comprehensive account of a specific situation or phenomenon. It focuses on describing and summarizing data without making inferences or attempting to explain underlying factors or the cause of the factor.

It is primarily concerned with providing an accurate and objective representation of the subject of research. While analytical research goes beyond the description of the phenomena and seeks to analyze and interpret data to discover if there are patterns, relationships, or any underlying factors.

It examines the data critically, applies statistical techniques or other analytical methods, and draws conclusions based on the discovery. Analytical research also aims to explore the relationships between variables and understand the underlying mechanisms or processes involved.

Descriptive Research vs. Exploratory Research

Descriptive research is a research method that focuses on providing a detailed and accurate account of a specific situation, group, or phenomenon. This type of research describes the characteristics, behaviors, or relationships within the given context without looking for an underlying cause.

Descriptive research typically involves collecting and analyzing quantitative or qualitative data to generate descriptive statistics or narratives. Exploratory research differs from descriptive research because it aims to explore and gain firsthand insights or knowledge into a relatively unexplored or poorly understood topic.

It focuses on generating ideas, hypotheses, or theories rather than providing definitive answers. Exploratory research is often conducted at the early stages of a research project to gather preliminary information and identify key variables or factors for further investigation. It involves open-ended interviews, observations, or small-scale surveys to gather qualitative data.

Read More – Exploratory Research: What are its Method & Examples?

Descriptive Research vs. Experimental Research

Descriptive research aims to describe and document the characteristics, behaviors, or phenomena of a particular population or situation. It focuses on providing an accurate and detailed account of the existing state of affairs.

Descriptive research typically involves collecting data through surveys, observations, or existing records and analyzing the data to generate descriptive statistics or narratives. It does not involve manipulating variables or establishing cause-and-effect relationships.

Experimental research, on the other hand, involves manipulating variables and controlling conditions to investigate cause-and-effect relationships. It aims to establish causal relationships by introducing an intervention or treatment and observing the resulting effects.

Experimental research typically involves randomly assigning participants to different groups, such as control and experimental groups, and measuring the outcomes. It allows researchers to control for confounding variables and draw causal conclusions.

Related – Experimental vs Non-Experimental Research: 15 Key Differences

Descriptive Research vs. Explanatory Research

Descriptive research focuses on providing a detailed and accurate account of a specific situation, group, or phenomenon. It aims to describe the characteristics, behaviors, or relationships within the given context.

Descriptive research is primarily concerned with providing an objective representation of the subject of study without explaining underlying causes or mechanisms. Explanatory research seeks to explain the relationships between variables and uncover the underlying causes or mechanisms.

It goes beyond description and aims to understand the reasons or factors that influence a particular outcome or behavior. Explanatory research involves analyzing data, conducting statistical analyses, and developing theories or models to explain the observed relationships.

Descriptive Research vs. Inferential Research

Descriptive research focuses on describing and summarizing data without making inferences or generalizations beyond the specific sample or population being studied. It aims to provide an accurate and objective representation of the subject of study.

Descriptive research typically involves analyzing data to generate descriptive statistics, such as means, frequencies, or percentages, to describe the characteristics or behaviors observed.

Inferential research, however, involves making inferences or generalizations about a larger population based on a smaller sample.

It aims to draw conclusions about the population characteristics or relationships by analyzing the sample data. Inferential research uses statistical techniques to estimate population parameters, test hypotheses, and determine the level of confidence or significance in the findings.

Related – Inferential Statistics: Definition, Types + Examples

Conclusion

The uniqueness of descriptive research partly lies in its ability to explore both quantitative and qualitative research methods. Therefore, when conducting descriptive research, researchers have the opportunity to use a wide variety of techniques that aids the research process.

Descriptive research explores research problems in-depth, beyond the surface level thereby giving a detailed description of the research subject. That way, it can aid further research in the field, including other research methods .

It is also very useful in solving real-life problems in various fields of social science, physical science, and education.

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Descriptive Research Design | Definition, Methods & Examples

Descriptive Research Design | Definition, Methods & Examples

Published on 5 May 2022 by Shona McCombes . Revised on 10 October 2022.

Descriptive research aims to accurately and systematically describe a population, situation or phenomenon. It can answer what , where , when , and how questions , but not why questions.

When to use a descriptive research design, descriptive research methods.

Descriptive research is an appropriate choice when the research aim is to identify characteristics, frequencies, trends, and categories.

It is useful when not much is known yet about the topic or problem. Before you can research why something happens, you need to understand how, when, and where it happens.

How has the London housing market changed over the past 20 years?
Do customers of company X prefer product Y or product Z?
What are the main genetic, behavioural, and morphological differences between European wildcats and domestic cats?
What are the most popular online news sources among under-18s?
How prevalent is disease A in population B?

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Survey research allows you to gather large volumes of data that can be analysed for frequencies, averages, and patterns. Common uses of surveys include:

Describing the demographics of a country or region
Gauging public opinion on political and social topics
Evaluating satisfaction with a company’s products or an organisation’s services

Observations

Observations allow you to gather data on behaviours and phenomena without having to rely on the honesty and accuracy of respondents. This method is often used by psychological, social, and market researchers to understand how people act in real-life situations.

Observation of physical entities and phenomena is also an important part of research in the natural sciences. Before you can develop testable hypotheses , models, or theories, it’s necessary to observe and systematically describe the subject under investigation.

Case studies

A case study can be used to describe the characteristics of a specific subject (such as a person, group, event, or organisation). Instead of gathering a large volume of data to identify patterns across time or location, case studies gather detailed data to identify the characteristics of a narrowly defined subject.

Rather than aiming to describe generalisable facts, case studies often focus on unusual or interesting cases that challenge assumptions, add complexity, or reveal something new about a research problem .

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McCombes, S. (2022, October 10). Descriptive Research Design | Definition, Methods & Examples. Scribbr. Retrieved 16 September 2024, from https://www.scribbr.co.uk/research-methods/descriptive-research-design/

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What is Descriptive Research? Definition, Methods, Types and Examples

Descriptive research is a methodological approach that seeks to depict the characteristics of a phenomenon or subject under investigation. In scientific inquiry, it serves as a foundational tool for researchers aiming to observe, record, and analyze the intricate details of a particular topic. This method provides a rich and detailed account that aids in understanding, categorizing, and interpreting the subject matter.

Descriptive research design is widely employed across diverse fields, and its primary objective is to systematically observe and document all variables and conditions influencing the phenomenon.

After this descriptive research definition, let’s look at this example. Consider a researcher working on climate change adaptation, who wants to understand water management trends in an arid village in a specific study area. She must conduct a demographic survey of the region, gather population data, and then conduct descriptive research on this demographic segment. The study will then uncover details on “what are the water management practices and trends in village X.” Note, however, that it will not cover any investigative information about “why” the patterns exist.

Table of Contents

What is descriptive research?

If you’ve been wondering “What is descriptive research,” we’ve got you covered in this post! In a nutshell, descriptive research is an exploratory research method that helps a researcher describe a population, circumstance, or phenomenon. It can help answer what , where , when and how questions, but not why questions. In other words, it does not involve changing the study variables and does not seek to establish cause-and-effect relationships.

Importance of descriptive research

Now, let’s delve into the importance of descriptive research. This research method acts as the cornerstone for various academic and applied disciplines. Its primary significance lies in its ability to provide a comprehensive overview of a phenomenon, enabling researchers to gain a nuanced understanding of the variables at play. This method aids in forming hypotheses, generating insights, and laying the groundwork for further in-depth investigations. The following points further illustrate its importance:

Provides insights into a population or phenomenon: Descriptive research furnishes a comprehensive overview of the characteristics and behaviors of a specific population or phenomenon, thereby guiding and shaping the research project.

Offers baseline data: The data acquired through this type of research acts as a reference for subsequent investigations, laying the groundwork for further studies.

Allows validation of sampling methods: Descriptive research validates sampling methods, aiding in the selection of the most effective approach for the study.

Helps reduce time and costs: It is cost-effective and time-efficient, making this an economical means of gathering information about a specific population or phenomenon.

Ensures replicability: Descriptive research is easily replicable, ensuring a reliable way to collect and compare information from various sources.

When to use descriptive research design?

Determining when to use descriptive research depends on the nature of the research question. Before diving into the reasons behind an occurrence, understanding the how, when, and where aspects is essential. Descriptive research design is a suitable option when the research objective is to discern characteristics, frequencies, trends, and categories without manipulating variables. It is therefore often employed in the initial stages of a study before progressing to more complex research designs. To put it in another way, descriptive research precedes the hypotheses of explanatory research. It is particularly valuable when there is limited existing knowledge about the subject.

Some examples are as follows, highlighting that these questions would arise before a clear outline of the research plan is established:

In the last two decades, what changes have occurred in patterns of urban gardening in Mumbai?
What are the differences in climate change perceptions of farmers in coastal versus inland villages in the Philippines?

Characteristics of descriptive research

Coming to the characteristics of descriptive research, this approach is characterized by its focus on observing and documenting the features of a subject. Specific characteristics are as below.

Quantitative nature: Some descriptive research types involve quantitative research methods to gather quantifiable information for statistical analysis of the population sample.
Qualitative nature: Some descriptive research examples include those using the qualitative research method to describe or explain the research problem.
Observational nature: This approach is non-invasive and observational because the study variables remain untouched. Researchers merely observe and report, without introducing interventions that could impact the subject(s).
Cross-sectional nature: In descriptive research, different sections belonging to the same group are studied, providing a “snapshot” of sorts.
Springboard for further research: The data collected are further studied and analyzed using different research techniques. This approach helps guide the suitable research methods to be employed.

Types of descriptive research

There are various descriptive research types, each suited to different research objectives. Take a look at the different types below.

Surveys: This involves collecting data through questionnaires or interviews to gather qualitative and quantitative data.
Observational studies: This involves observing and collecting data on a particular population or phenomenon without influencing the study variables or manipulating the conditions. These may be further divided into cohort studies, case studies, and cross-sectional studies:
Cohort studies: Also known as longitudinal studies, these studies involve the collection of data over an extended period, allowing researchers to track changes and trends.
Case studies: These deal with a single individual, group, or event, which might be rare or unusual.
Cross-sectional studies : A researcher collects data at a single point in time, in order to obtain a snapshot of a specific moment.
Focus groups: In this approach, a small group of people are brought together to discuss a topic. The researcher moderates and records the group discussion. This can also be considered a “participatory” observational method.
Descriptive classification: Relevant to the biological sciences, this type of approach may be used to classify living organisms.

Descriptive research methods

Several descriptive research methods can be employed, and these are more or less similar to the types of approaches mentioned above.

Surveys: This method involves the collection of data through questionnaires or interviews. Surveys may be done online or offline, and the target subjects might be hyper-local, regional, or global.
Observational studies: These entail the direct observation of subjects in their natural environment. These include case studies, dealing with a single case or individual, as well as cross-sectional and longitudinal studies, for a glimpse into a population or changes in trends over time, respectively. Participatory observational studies such as focus group discussions may also fall under this method.

Researchers must carefully consider descriptive research methods, types, and examples to harness their full potential in contributing to scientific knowledge.

Examples of descriptive research

Now, let’s consider some descriptive research examples.

In social sciences, an example could be a study analyzing the demographics of a specific community to understand its socio-economic characteristics.
In business, a market research survey aiming to describe consumer preferences would be a descriptive study.
In ecology, a researcher might undertake a survey of all the types of monocots naturally occurring in a region and classify them up to species level.

These examples showcase the versatility of descriptive research across diverse fields.

Advantages of descriptive research

There are several advantages to this approach, which every researcher must be aware of. These are as follows:

Owing to the numerous descriptive research methods and types, primary data can be obtained in diverse ways and be used for developing a research hypothesis .
It is a versatile research method and allows flexibility.
Detailed and comprehensive information can be obtained because the data collected can be qualitative or quantitative.
It is carried out in the natural environment, which greatly minimizes certain types of bias and ethical concerns.
It is an inexpensive and efficient approach, even with large sample sizes

Disadvantages of descriptive research

On the other hand, this design has some drawbacks as well:

It is limited in its scope as it does not determine cause-and-effect relationships.
The approach does not generate new information and simply depends on existing data.
Study variables are not manipulated or controlled, and this limits the conclusions to be drawn.
Descriptive research findings may not be generalizable to other populations.
Finally, it offers a preliminary understanding rather than an in-depth understanding.

To reiterate, the advantages of descriptive research lie in its ability to provide a comprehensive overview, aid hypothesis generation, and serve as a preliminary step in the research process. However, its limitations include a potential lack of depth, inability to establish cause-and-effect relationships, and susceptibility to bias.

Frequently asked questions

When should researchers conduct descriptive research.

Descriptive research is most appropriate when researchers aim to portray and understand the characteristics of a phenomenon without manipulating variables. It is particularly valuable in the early stages of a study.

What is the difference between descriptive and exploratory research?

Descriptive research focuses on providing a detailed depiction of a phenomenon, while exploratory research aims to explore and generate insights into an issue where little is known.

What is the difference between descriptive and experimental research?

Descriptive research observes and documents without manipulating variables, whereas experimental research involves intentional interventions to establish cause-and-effect relationships.

Is descriptive research only for social sciences?

No, various descriptive research types may be applicable to all fields of study, including social science, humanities, physical science, and biological science.

How important is descriptive research?

The importance of descriptive research lies in its ability to provide a glimpse of the current state of a phenomenon, offering valuable insights and establishing a basic understanding. Further, the advantages of descriptive research include its capacity to offer a straightforward depiction of a situation or phenomenon, facilitate the identification of patterns or trends, and serve as a useful starting point for more in-depth investigations. Additionally, descriptive research can contribute to the development of hypotheses and guide the formulation of research questions for subsequent studies.

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Descriptive Research 101: Definition, Methods and Examples

Parvathi Vijayamohan

Last Updated: 16 July 2024

10 min read

Table Of Contents

Descriptive Research 101: The Definitive Guide

What is Descriptive Research?

Key Characteristics
Observation
Case Studies
Types of Descriptive Research
Question Examples
Real-World Examples

Tips to Excel at Descriptive Research

More Interesting Reads

Imagine you are a detective called to a crime scene. Your job is to study the scene and report whatever you find: whether that’s the half-smoked cigarette on the table or the large “RACHE” written in blood on the wall. That, in a nutshell, is descriptive research .

Researchers often need to do descriptive research on a problem before they attempt to solve it. So in this guide, we’ll take you through:

What is descriptive research + its characteristics
Descriptive research methods
Types of descriptive research
Descriptive research examples
Tips to excel at the descriptive method

Click to jump to the section that interests you.

Let’s begin by going through what descriptive studies can and cannot do.

Definition: As its name says, descriptive research describes the characteristics of the problem, phenomenon, situation, or group under study.

So the goal of all descriptive studies is to explore the background, details, and existing patterns in the problem to fully understand it. In other words, preliminary research.

However, descriptive research can be both preliminary and conclusive . You can use the data from a descriptive study to make reports and get insights for further planning.

What descriptive research isn’t: Descriptive research finds the what/when/where of a problem, not the why/how .

Because of this, we can’t use the descriptive method to explore cause-and-effect relationships where one variable (like a person’s job role) affects another variable (like their monthly income).

Key Characteristics of Descriptive Research

Answers the “what,” “when,” and “where” of a research problem. For this reason, it is popularly used in market research , awareness surveys , and opinion polls .
Sets the stage for a research problem. As an early part of the research process, descriptive studies help you dive deeper into the topic.
Opens the door for further research. You can use descriptive data as the basis for more profound research, analysis and studies.
Qualitative and quantitative research . It is possible to get a balanced mix of numerical responses and open-ended answers from the descriptive method.
No control or interference with the variables . The researcher simply observes and reports on them. However, specific research software has filters that allow her to zoom in on one variable.
Done in natural settings . You can get the best results from descriptive research by talking to people, surveying them, or observing them in a suitable environment. For example, suppose you are a website beta testing an app feature. In that case, descriptive research invites users to try the feature, tracking their behavior and then asking their opinions .
Can be applied to many research methods and areas. Examples include healthcare, SaaS, psychology, political studies, education, and pop culture.

Descriptive Research Methods: The Top Three You Need to Know!

In short, survey research is a brief interview or conversation with a set of prepared questions about a topic. So you create a questionnaire, share it, and analyze the data you collect for further action.

Read more : The difference between surveys vs questionnaires

Surveys can be hyper-local, regional, or global, depending on your objectives.
Share surveys in-person, offline, via SMS, email, or QR codes – so many options!
Easy to automate if you want to conduct many surveys over a period.

FYI: If you’re looking for the perfect tool to conduct descriptive research, SurveySparrow’s got you covered. Our AI-powered text and sentiment analysis help you instantly capture detailed insights for your studies.

With 1,000+ customizable (and free) survey templates , 20+ question types, and 1500+ integrations , SurveySparrow makes research super-easy.

Want to try out our platform? Click on the template below to start using it.👇

Product Market Research Survey Template

Preview Template

2. Observation

The observational method is a type of descriptive research in which you, the researcher, observe ongoing behavior.

Now, there are several (non-creepy) ways you can observe someone. In fact, observational research has three main approaches:

Covert observation: In true spy fashion, the researcher mixes in with the group undetected or observes from a distance.
Overt observation : The researcher identifies himself as a researcher – “The name’s Bond. J. Bond.” – and explains the purpose of the study.
Participatory observation : The researcher participates in what he is observing to understand his topic better.
Observation is one of the most accurate ways to get data on a subject’s behavior in a natural setting.
You don’t need to rely on people’s willingness to share information.
Observation is a universal method that can be applied to any area of research.

3. Case Studies

In the case study method, you do a detailed study of a specific group, person, or event over a period.

This brings us to a frequently asked question: “What’s the difference between case studies and longitudinal studies?”

A case study will go very in-depth into the subject with one-on-one interviews, observations, and archival research. They are also qualitative, though sometimes they will use numbers and stats.

An example of longitudinal research would be a study of the health of night shift employees vs. general shift employees over a decade. An example of a case study would involve in-depth interviews with Casey, an assistant director of nursing who’s handled the night shift at the hospital for ten years now.

Due to the focus on a few people, case studies can give you a tremendous amount of information.
Because of the time and effort involved, a case study engages both researchers and participants.
Case studies are helpful for ethically investigating unusual, complex, or challenging subjects. An example would be a study of the habits of long-term cocaine users.

7 Types of Descriptive Research


Cross-sectional research	Studies a particular group of people or their sections at a given point in time. Example: current social attitudes of Gen Z in the US
Longitudinal research	Studies a group of people over a long period of time. Example: tracking changes in social attitudes among Gen-Zers from 2022 – 2032.
Normative research	Compares the results of a study against the existing norms. Example: comparing a verdict in a legal case against similar cases.
Correlational/relational research	Investigates the type of relationship and patterns between 2 variables. Example: music genres and mental states.
Comparative research	Compares 2 or more similar people, groups or conditions based on specific traits. Example: job roles of employees in similar positions from two different companies.
Classification research	Arranges the data into classes according to certain criteria for better analysis. Example: the classification of newly discovered insects into species.
Archival research	Searching for and extracting information from past records. Example: Tracking US Census data over the decades.

Descriptive Research Question Examples

How have teen social media habits changed in 10 years?
What causes high employee turnover in tech?
How do urban and rural diets differ in India?
What are consumer preferences for electric vs. gasoline cars in Germany?
How common is smartphone addiction among UK college students?
What drives customer satisfaction in banking?
How have adolescent mental health issues changed in 15 years?
What leisure activities are popular among retirees in Japan?
How do commute times vary in US metro areas?
What makes e-commerce websites successful?

Descriptive Research: Real-World Examples To Build Your Next Study

1. case study: airbnb’s growth strategy.

In an excellent case study, Tam Al Saad, Principal Consultant, Strategy + Growth at Webprofits, deep dives into how Airbnb attracted and retained 150 million users .

“What Airbnb offers isn’t a cheap place to sleep when you’re on holiday; it’s the opportunity to experience your destination as a local would. It’s the chance to meet the locals, experience the markets, and find non-touristy places.

Sure, you can visit the Louvre, see Buckingham Palace, and climb the Empire State Building, but you can do it as if it were your hometown while staying in a place that has character and feels like a home.” – Tam al Saad, Principal Consultant, Strategy + Growth at Webprofits

2. Observation – Better Tech Experiences for the Elderly

We often think that our elders are so hopeless with technology. But we’re not getting any younger either, and tech is changing at a hair trigger! This article by Annemieke Hendricks shares a wonderful example where researchers compare the levels of technological familiarity between age groups and how that influences usage.

“It is generally assumed that older adults have difficulty using modern electronic devices, such as mobile telephones or computers. Because this age group is growing in most countries, changing products and processes to adapt to their needs is increasingly more important. “ – Annemieke Hendricks, Marketing Communication Specialist, Noldus

3. Surveys – Decoding Sleep with SurveySparrow

SRI International (formerly Stanford Research Institute) – an independent, non-profit research center – wanted to investigate the impact of stress on an adolescent’s sleep. To get those insights, two actions were essential: tracking sleep patterns through wearable devices and sending surveys at a pre-set time – the pre-sleep period.

“With SurveySparrow’s recurring surveys feature, SRI was able to share engaging surveys with their participants exactly at the time they wanted and at the frequency they preferred.”

Read more about this project : How SRI International decoded sleep patterns with SurveySparrow

1: Answer the six Ws –

Who should we consider?
What information do we need?
When should we collect the information?
Where should we collect the information?
Why are we obtaining the information?
Way to collect the information

#2: Introduce and explain your methodological approach

#3: Describe your methods of data collection and/or selection.

#4: Describe your methods of analysis.

#5: Explain the reasoning behind your choices.

#6: Collect data.

#7: Analyze the data. Use software to speed up the process and reduce overthinking and human error.

#8: Report your conclusions and how you drew the results.

Wrapping Up

Whether it’s social media habits, consumer preferences, or mental health trends, descriptive research provides a clear snapshot into what people actually think.

If you want to know more about feedback methodology, or research, check out some of our other articles below.

👉 Desk Research 101: Definition, Methods, and Examples

👉 Exploratory Research: Your Guide to Unraveling Insights

👉 Design Research: Types, Methods, and Importance

Content marketer at SurveySparrow.

Parvathi is a sociologist turned marketer. After 6 years as a copywriter, she pivoted to B2B, diving into growth marketing for SaaS. Now she uses content and conversion optimization to fuel growth - focusing on CX, reputation management and feedback methodology for businesses.

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Descriptive Research and Qualitative Research

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Eunsook T. Koh 2 &
Willis L. Owen 2

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Descriptive research is a study of status and is widely used in education, nutrition, epidemiology, and the behavioral sciences. Its value is based on the premise that problems can be solved and practices improved through observation, analysis, and description. The most common descriptive research method is the survey, which includes questionnaires, personal interviews, phone surveys, and normative surveys. Developmental research is also descriptive. Through cross-sectional and longitudinal studies, researchers investigate the interaction of diet (e.g., fat and its sources, fiber and its sources, etc.) and life styles (e.g., smoking, alcohol drinking, etc.) and of disease (e.g., cancer, coronary heart disease) development. Observational research and correlational studies constitute other forms of descriptive research. Correlational studies determine and analyze relationships between variables as well as generate predictions. Descriptive research generates data, both qualitative and quantitative, that define the state of nature at a point in time. This chapter discusses some characteristics and basic procedures of the various types of descriptive research.

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Achterberg C. Qualitative methods in nutritional education evaluation research. J Nutr Educ 1988; 20: 244

Article Google Scholar

Agar, M.H. The Professional Stranger: an Informal Introduction to Ethnography. Academic Press, New York: Academic Press 1980.

Google Scholar

Amstrong B., Doll R. Environmental factors and cancer incidence and mortality in different countries, with special reference to dietary practices. Int J Cancer, 1975; 15:617–631

Bang H.O., Dyerberg J., Hjorne, N. The composition of food consumed by Greenland Eskimos. Acta Med Scand 1976; 200: 69–75

Article CAS Google Scholar

Bailey, K.D. Methods of Social Research. New York: Free Press, Macmillan Publishing Co, Inc, 1978.

Beal V.A. The nutritional history in longitudinal research. J Am Dietet A 1967; 51: 526–531

Berdie D.R. Questionnaire length and response rate. J Appl Psychol 1973; 58:278–280

Berdie, D.R., Anderson J.F., Niebuhr, M.A. Questionnaires: Design and Use. Metuchen, N.J.: Scarescrow Press, 1986.

Buell P. Changing incidence of breast cancer in Japanese-American women. JNCI 1973; 51:1479–1483

CAS Google Scholar

Dyberg J., Bang H.O., Hjorne N. Fatty acid composition of the plasma lipids in Greenland Eskimos. Am J Clin Nutr 1975; 28: 958–961

Frank G. Life history model of adaptation to disability: the case of a congenital amputee. Soc Sci Med 1984; 19: 639–645

Fetterman, D.L. “A Walk Through the Wilderness: Learning to Find Your Way.” In Experiencing Fieldwork: An Inside View of Qualitative Research. Shaffir, W., Stebbins, R. eds. Newbury Park, CA: Sage, 1991.

Fieldhouse, P. Food & Nutrition: Customs & Culture. New York: Croom Helm, 1986

Fielding, N.G., Fielding, J.L. Linking Data. Beverly Hills, CA: Sage, 1986.

Firestone W.A. Meaning in method: The rhetoric of quantitative and qualitative research. Educational Researcher 1987; 16:16–21

Geertz, C. The interpretation of Cultures. New York: Basic Books, 1973.

Glaser B.G., Strauss, A.L. The Discovery of Grounded Theory: Strategies for Qualitative Research. New York: Aldine Publishing Co, 1967.

Goldberger, J.E. Goldberger on Pellagra. Baton Rouge, LA: Louisiana State University Press, 1964.

Greer J.G. What do open-ended questions measure? Public Opinion Quart 1988; 52:365–371

Gordis, L. Epidemiology. Philadelphia PA: Saunders, 1996.

Hammersley, M., Atkinson, P. Ethnography: Principles in Practice. London: Tavistock, 1983.

Headland, T.N., Pike, K.L., Harris, M. Emics and Etics: The Insider/Outsider Debate. Newbury Park, CA: Sage, 1990.

Hodge, R., Kress, G. Social Semiotics. Ithaca, NY: Cornell University Press, 1988.

Holbrook J.T., Patterson K.Y., Bodner J.E., Douglas L.W., Veillon C., Kelsey J.L. Mertz W, Smith J.C. Sodium and potassium intake and balance in adults consuming self selected diets. Am J Clin Nutr 1984; 40: 786–793

Human Nutrition Information Service, US Department of Agriculture, Food Consumption: Households in the United States, Spring 1977, Washington, D.E.: Government Printing Office, Publication H-1, 1982.

ICNND (International Committee on Nutrition for National Defense) Manual for Nutrition Surveys. Second edition. Superintendent of Documents. Washington, D.C.: U.S. Government Printing Office, 1963

Jacob E. Qualitative research traditions: A review. Rev Educ Res 1987; 57: 1–4

Jelliffe, D.B. The Assessment of the Nutritional Status of the Community. WHO Monograph 53. Geneva: World Health Organization, 1966.

Keys, A. Seven Countries: A Multivariate Analysis of Death and Corornary Heart Disease. Cambridge, MA: Harvard University Press, 1980.

Kittler, P.G., Sucher, K. Food and Culture in America. New York: Reinhold, 1989.

Kirk, J., Miller, M.L. Reliability and Validity in Qualitative Research. Beverly Hills, CA: Sage, 1986.

Koh E.T., Caples V. Nutrient intake of low-income, black families in Southwest Mississippi. J Am Dietet A 1979; 75:665–670

Kolonel, L.N., Hinds, M.W., Hankin, J.H. “Cancer Patterns Among Migrant and Native-Born Japanese in Hawaii in Relation to Smoking, Drinking, and Dietary Habits.” In Genetic and Environmental Factors in Experimental and Human Cancer. Gelboin, H.V. et al. eds. Tokyo, Japan: Science Press, 1980.

Kromann N., Green A. Epidemiological studies in the Upernavik district, Greenland: Incidence of some chronic disease 1950–1974. Acta Med Scand 1980; 401–405

Krueger, R. Focus Groups: A Practical Guide for Applied Rese arch. Newbury Park, CA: Sage, 1988.

Langness, L.L. Frank, G. Lives: An Anthropological Approach to Biography. Novato, CA: Chandler & Sharp, 1981.

Lind, J. (1753) A Treatise on the Scurvy. Reprinted Edinburgh: Edinburgh University Press, 1953.

Lock, L.F. “The Question of Quality in Qualitative Research.” In Proceedings of the 5th Measurement and Evaluation Symposium. Nelson, J.K. ed. Baton Rouge, LA: Louisiana State University Press, 1987.

Lofland, J., Lofland, L. Analyzing Social Settings: A Guide to Qualitative Research. Belmont, CA: Wadsworth, 1984.

Marshall, C; Rossman, G.B. Designing Qualitative Research. Newbury Park, CA: Sage, 1989.

Mauser, J.S., Kramer, S. Epidemiology — An Introductory Text. Philadelphia PA: Saunders, 1985.

McClendon M.J., O’Brien D.J. Question-order effects on the determinants of subjective well-being. Public Opinion Quart 1988; 52:351–364

McCraken, G. The Long Interview. Newbury Park, CA: Sage, 1988.

McMichael A.J., McCall M.G., Hartshorne J.M., Woodings T.L. Patterns of gastro-intestinal cancer in European migrants to Australia: The role of dietary changes. In J Cancer 1980; 25:431–437

Miles, M.B., Huberman, A.M. Qualitative Data Analysis: A Sourcebook of New Methods. (2nd ed.) Thousand Oaks, CA: Sage, 1994.

Montgomery A.C., Crittenden K.S. Improving coding reliability for open-ended questions. Public Opinion Quart 1977; 41: 235–243

National Center for Health Statistics: Plan and Operation of the HANES. Vital and Health Statistics, Series 1, Nos 10a and 10b, DHEW Pub No (HSM) 73–130. Washington, D.C.: U.S. Government Printing Office, 1973.

O’Brien T., Dugdale V. Questionnaire administration by computer. J Market Res Soc, 1978; 20:228–237

Okolo, E.N. Health Research Design and Methodology. Boca Raton, FL: CRC Press 1990.

Parkin, D.M., Muir, C.S., Whelan, S.L., Gao, Y.T., Ferlay, J., Powell, J. Cancer Incidence in Five Continents VI IARC Sci Publ 120, Lyon: International Agency for Research on Cancer, 1992.

Peterkin B.B., Rizek R.L., Tippett K.S. Nationwide food consumption survey, 1987. Nutr Today 1988; 23:18–24

Poe G.S., Seeman I., McLaughlin J., Mehl E., Dietz M. Don’t know boxes in factual questions in a mail questionnaire: Effects on level and quality of response. Public Opinion Quart 1988; 52: 212–222

Poikolainen K., Karkkainen P. Nature of questionnaire options affects estimates of alcohol intake. J Stud Alcohol 1985; 46: 219–222

Potter, J.D. Food, Nutrition and the Prevention of Cancer: A Global Perspective. Washington, D.C.: American Institute for Cancer Research, 1997.

Rose, G.A., Blackburn, H. Cardiovascular Survey Methods. Geneva, Switzerland: World Health Organization 1968.

Runcie, J.F. Experiencing Social Sresearch. Homewood, IL.: Dorsey Press, 1976.

Sandelowski, M. The Problem of Rigor in Qualitative Research. Adv Nurs Sci April 27–37, 1986.

Schutz R.W. Qualitative research: comments and controversies. Research Quarterly Exercise Sport, 1989; 60:30–35

Sheatsley, P.B. “Questionnaire Construction and Item Writing.” In Handbook of Survey Research. Rossi, P.H., Wright, J.D., Anderson, A.B. eds. Orlando, FL: Academic Press, 1983.

Sherry, B. “Epidemiologic Analytical Research.” In Research. Monsen, E.R. Chicago, IL: American Dietetic Association, 1992

Spradley, J. The Ethnographic Interview. Chicago, IL: Holtz, Rinehart & Winston, 1979.

Spradley, J.P. Participant Observation. New York: Holt, Rinehart & Winston, 1980.

Sudman, S., Bradburn, N.M. Asking Questions: A Practical Guide to Questionnaire Design. (2nd ed.) Washington, D.C.: Jossey-Bass Publisher, 1983.

Taylor, S.J., Bogdan, R. Introduction to Qualitative Research Methods. (2nd ed.) New York: Wiley, 1984.

Thomas, J.R. Nelson, J.K. Research Methods in Physical Activity. (3rd ed.), Champaign, IL: Human Kinetics, 1996.

Van Maanen, J. ed. Qualitative Methodology. Newbury Park, CA: Sage, 1983.

Willett, W. Nutritional Epidemiology. (2nd ed.) New York: Oxford University Press, 1998.

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Koh, E.T., Owen, W.L. (2000). Descriptive Research and Qualitative Research. In: Introduction to Nutrition and Health Research. Springer, Boston, MA. https://doi.org/10.1007/978-1-4615-1401-5_12

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Descriptive research: what it is and how to use it.

8 min read Understanding the who, what and where of a situation or target group is an essential part of effective research and making informed business decisions.

For example you might want to understand what percentage of CEOs have a bachelor’s degree or higher. Or you might want to understand what percentage of low income families receive government support – or what kind of support they receive.

Descriptive research is what will be used in these types of studies.

In this guide we’ll look through the main issues relating to descriptive research to give you a better understanding of what it is, and how and why you can use it.

Free eBook: 2024 global market research trends report

What is descriptive research?

Descriptive research is a research method used to try and determine the characteristics of a population or particular phenomenon.

Using descriptive research you can identify patterns in the characteristics of a group to essentially establish everything you need to understand apart from why something has happened.

Market researchers use descriptive research for a range of commercial purposes to guide key decisions.

For example you could use descriptive research to understand fashion trends in a given city when planning your clothing collection for the year. Using descriptive research you can conduct in depth analysis on the demographic makeup of your target area and use the data analysis to establish buying patterns.

Conducting descriptive research wouldn’t, however, tell you why shoppers are buying a particular type of fashion item.

Descriptive research design

Descriptive research design uses a range of both qualitative research and quantitative data (although quantitative research is the primary research method) to gather information to make accurate predictions about a particular problem or hypothesis.

As a survey method, descriptive research designs will help researchers identify characteristics in their target market or particular population.

These characteristics in the population sample can be identified, observed and measured to guide decisions.

Descriptive research characteristics

While there are a number of descriptive research methods you can deploy for data collection, descriptive research does have a number of predictable characteristics.

Here are a few of the things to consider:

Measure data trends with statistical outcomes

Descriptive research is often popular for survey research because it generates answers in a statistical form, which makes it easy for researchers to carry out a simple statistical analysis to interpret what the data is saying.

Descriptive research design is ideal for further research

Because the data collection for descriptive research produces statistical outcomes, it can also be used as secondary data for another research study.

Plus, the data collected from descriptive research can be subjected to other types of data analysis .

Uncontrolled variables

A key component of the descriptive research method is that it uses random variables that are not controlled by the researchers. This is because descriptive research aims to understand the natural behavior of the research subject.

It’s carried out in a natural environment

Descriptive research is often carried out in a natural environment. This is because researchers aim to gather data in a natural setting to avoid swaying respondents.

Data can be gathered using survey questions or online surveys.

For example, if you want to understand the fashion trends we mentioned earlier, you would set up a study in which a researcher observes people in the respondent’s natural environment to understand their habits and preferences.

Descriptive research allows for cross sectional study

Because of the nature of descriptive research design and the randomness of the sample group being observed, descriptive research is ideal for cross sectional studies – essentially the demographics of the group can vary widely and your aim is to gain insights from within the group.

This can be highly beneficial when you’re looking to understand the behaviors or preferences of a wider population.

Descriptive research advantages

There are many advantages to using descriptive research, some of them include:

Cost effectiveness

Because the elements needed for descriptive research design are not specific or highly targeted (and occur within the respondent’s natural environment) this type of study is relatively cheap to carry out.

Multiple types of data can be collected

A big advantage of this research type, is that you can use it to collect both quantitative and qualitative data. This means you can use the stats gathered to easily identify underlying patterns in your respondents’ behavior.

Descriptive research disadvantages

Potential reliability issues.

When conducting descriptive research it’s important that the initial survey questions are properly formulated.

If not, it could make the answers unreliable and risk the credibility of your study.

Potential limitations

As we’ve mentioned, descriptive research design is ideal for understanding the what, who or where of a situation or phenomenon.

However, it can’t help you understand the cause or effect of the behavior. This means you’ll need to conduct further research to get a more complete picture of a situation.

Descriptive research methods

Because descriptive research methods include a range of quantitative and qualitative research, there are several research methods you can use.

Use case studies

Case studies in descriptive research involve conducting in-depth and detailed studies in which researchers get a specific person or case to answer questions.

Case studies shouldn’t be used to generate results, rather it should be used to build or establish hypothesis that you can expand into further market research .

For example you could gather detailed data about a specific business phenomenon, and then use this deeper understanding of that specific case.

Use observational methods

This type of study uses qualitative observations to understand human behavior within a particular group.

By understanding how the different demographics respond within your sample you can identify patterns and trends.

As an observational method, descriptive research will not tell you the cause of any particular behaviors, but that could be established with further research.

Use survey research

Surveys are one of the most cost effective ways to gather descriptive data.

An online survey or questionnaire can be used in descriptive studies to gather quantitative information about a particular problem.

Survey research is ideal if you’re using descriptive research as your primary research.

Descriptive research examples

Descriptive research is used for a number of commercial purposes or when organizations need to understand the behaviors or opinions of a population.

One of the biggest examples of descriptive research that is used in every democratic country, is during elections.

Using descriptive research, researchers will use surveys to understand who voters are more likely to choose out of the parties or candidates available.

Using the data provided, researchers can analyze the data to understand what the election result will be.

In a commercial setting, retailers often use descriptive research to figure out trends in shopping and buying decisions.

By gathering information on the habits of shoppers, retailers can get a better understanding of the purchases being made.

Another example that is widely used around the world, is the national census that takes place to understand the population.

The research will provide a more accurate picture of a population’s demographic makeup and help to understand changes over time in areas like population age, health and education level.

Where Qualtrics helps with descriptive research

Whatever type of research you want to carry out, there’s a survey type that will work.

Qualtrics can help you determine the appropriate method and ensure you design a study that will deliver the insights you need.

Our experts can help you with your market research needs , ensuring you get the most out of Qualtrics market research software to design, launch and analyze your data to guide better, more accurate decisions for your organization.

Related resources

Mixed methods research 17 min read, market intelligence 10 min read, marketing insights 11 min read, ethnographic research 11 min read, qualitative vs quantitative research 13 min read, qualitative research questions 11 min read, qualitative research design 12 min read, request demo.

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12 Quantitative Descriptive and Correlational Research

Published: February 2023
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This chapter presents research designs for descriptive and correlational quantitative research. Descriptive research designs are used to address the question “What is x?” Correlational research designs are used to address the question “How are things related?” In contrast to some experimental research designs, in these design types the primary area of interest under investigation is not manipulated by the researcher. Researchers investigating descriptive or correlational research questions commonly use surveys or observational methods to gather data. Surveys are an efficient method for gathering large amounts of information about such things as individuals’ experiences, beliefs, and attitudes. When designing a survey, researchers must consider many things, such as how long it will be and what it will cover. Observation is an important means of gathering data, as when researchers observe video recordings of teachers or students in various situations. Another approach to observational research is the experience sampling method (ESM). In ESM, participants are interrupted at random times throughout the day and asked to respond to questions concerning their experiences in real time. In other words, researchers ask participants what they are doing at the moment they are contacted.

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Child Care and Early Education Research Connections

Descriptive research studies.

Descriptive research is a type of research that is used to describe the characteristics of a population. It collects data that are used to answer a wide range of what, when, and how questions pertaining to a particular population or group. For example, descriptive studies might be used to answer questions such as: What percentage of Head Start teachers have a bachelor's degree or higher? What is the average reading ability of 5-year-olds when they first enter kindergarten? What kinds of math activities are used in early childhood programs? When do children first receive regular child care from someone other than their parents? When are children with developmental disabilities first diagnosed and when do they first receive services? What factors do programs consider when making decisions about the type of assessments that will be used to assess the skills of the children in their programs? How do the types of services children receive from their early childhood program change as children age?

Descriptive research does not answer questions about why a certain phenomenon occurs or what the causes are. Answers to such questions are best obtained from randomized and quasi-experimental studies . However, data from descriptive studies can be used to examine the relationships (correlations) among variables. While the findings from correlational analyses are not evidence of causality, they can help to distinguish variables that may be important in explaining a phenomenon from those that are not. Thus, descriptive research is often used to generate hypotheses that should be tested using more rigorous designs.

A variety of data collection methods may be used alone or in combination to answer the types of questions guiding descriptive research. Some of the more common methods include surveys, interviews, observations, case studies, and portfolios. The data collected through these methods can be either quantitative or qualitative. Quantitative data are typically analyzed and presenting using descriptive statistics . Using quantitative data, researchers may describe the characteristics of a sample or population in terms of percentages (e.g., percentage of population that belong to different racial/ethnic groups, percentage of low-income families that receive different government services) or averages (e.g., average household income, average scores of reading, mathematics and language assessments). Quantitative data, such as narrative data collected as part of a case study, may be used to organize, classify, and used to identify patterns of behaviors, attitudes, and other characteristics of groups.

Descriptive studies have an important role in early care and education research. Studies such as the National Survey of Early Care and Education and the National Household Education Surveys Program have greatly increased our knowledge of the supply of and demand for child care in the U.S. The Head Start Family and Child Experiences Survey and the Early Childhood Longitudinal Study Program have provided researchers, policy makers and practitioners with rich information about school readiness skills of children in the U.S.

Each of the methods used to collect descriptive data have their own strengths and limitations. The following are some of the strengths and limitations of descriptive research studies in general.

Study participants are questioned or observed in a natural setting (e.g., their homes, child care or educational settings).

Study data can be used to identify the prevalence of particular problems and the need for new or additional services to address these problems.

Descriptive research may identify areas in need of additional research and relationships between variables that require future study. Descriptive research is often referred to as "hypothesis generating research."

Depending on the data collection method used, descriptive studies can generate rich datasets on large and diverse samples.

Limitations:

Descriptive studies cannot be used to establish cause and effect relationships.

Respondents may not be truthful when answering survey questions or may give socially desirable responses.

The choice and wording of questions on a questionnaire may influence the descriptive findings.

Depending on the type and size of sample, the findings may not be generalizable or produce an accurate description of the population of interest.

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Descriptive Research: Definition, Characteristics, Methods + Examples

Suppose an apparel brand wants to understand the fashion purchasing trends among New York’s buyers, then it must conduct a demographic survey of the specific region, gather population data, and then conduct descriptive research on this demographic segment.

The study will then uncover details on “what is the purchasing pattern of New York buyers,” but will not cover any investigative information about “ why ” the patterns exist. Because for the apparel brand trying to break into this market, understanding the nature of their market is the study’s main goal. Let’s talk about it.

What is descriptive research?

Descriptive research is a research method describing the characteristics of the population or phenomenon studied. This descriptive methodology focuses more on the “what” of the research subject than the “why” of the research subject.

The method primarily focuses on describing the nature of a demographic segment without focusing on “why” a particular phenomenon occurs. In other words, it “describes” the research subject without covering “why” it happens.

Characteristics of descriptive research

The term descriptive research then refers to research questions, the design of the study, and data analysis conducted on that topic. We call it an observational research method because none of the research study variables are influenced in any capacity.

Some distinctive characteristics of descriptive research are:

Quantitative research: It is a quantitative research method that attempts to collect quantifiable information for statistical analysis of the population sample. It is a popular market research tool that allows us to collect and describe the demographic segment’s nature.
Uncontrolled variables: In it, none of the variables are influenced in any way. This uses observational methods to conduct the research. Hence, the nature of the variables or their behavior is not in the hands of the researcher.
Cross-sectional studies: It is generally a cross-sectional study where different sections belonging to the same group are studied.
The basis for further research: Researchers further research the data collected and analyzed from descriptive research using different research techniques. The data can also help point towards the types of research methods used for the subsequent research.

Applications of descriptive research with examples

A descriptive research method can be used in multiple ways and for various reasons. Before getting into any survey , though, the survey goals and survey design are crucial. Despite following these steps, there is no way to know if one will meet the research outcome. How to use descriptive research? To understand the end objective of research goals, below are some ways organizations currently use descriptive research today:

Define respondent characteristics: The aim of using close-ended questions is to draw concrete conclusions about the respondents. This could be the need to derive patterns, traits, and behaviors of the respondents. It could also be to understand from a respondent their attitude, or opinion about the phenomenon. For example, understand millennials and the hours per week they spend browsing the internet. All this information helps the organization researching to make informed business decisions.
Measure data trends: Researchers measure data trends over time with a descriptive research design’s statistical capabilities. Consider if an apparel company researches different demographics like age groups from 24-35 and 36-45 on a new range launch of autumn wear. If one of those groups doesn’t take too well to the new launch, it provides insight into what clothes are like and what is not. The brand drops the clothes and apparel that customers don’t like.
Conduct comparisons: Organizations also use a descriptive research design to understand how different groups respond to a specific product or service. For example, an apparel brand creates a survey asking general questions that measure the brand’s image. The same study also asks demographic questions like age, income, gender, geographical location, geographic segmentation , etc. This consumer research helps the organization understand what aspects of the brand appeal to the population and what aspects do not. It also helps make product or marketing fixes or even create a new product line to cater to high-growth potential groups.
Validate existing conditions: Researchers widely use descriptive research to help ascertain the research object’s prevailing conditions and underlying patterns. Due to the non-invasive research method and the use of quantitative observation and some aspects of qualitative observation , researchers observe each variable and conduct an in-depth analysis . Researchers also use it to validate any existing conditions that may be prevalent in a population.
Conduct research at different times: The analysis can be conducted at different periods to ascertain any similarities or differences. This also allows any number of variables to be evaluated. For verification, studies on prevailing conditions can also be repeated to draw trends.

Advantages of descriptive research

Some of the significant advantages of descriptive research are:

Data collection: A researcher can conduct descriptive research using specific methods like observational method, case study method, and survey method. Between these three, all primary data collection methods are covered, which provides a lot of information. This can be used for future research or even for developing a hypothesis for your research object.
Varied: Since the data collected is qualitative and quantitative, it gives a holistic understanding of a research topic. The information is varied, diverse, and thorough.
Natural environment: Descriptive research allows for the research to be conducted in the respondent’s natural environment, which ensures that high-quality and honest data is collected.
Quick to perform and cheap: As the sample size is generally large in descriptive research, the data collection is quick to conduct and is inexpensive.

Descriptive research methods

There are three distinctive methods to conduct descriptive research. They are:

Observational method

The observational method is the most effective method to conduct this research, and researchers make use of both quantitative and qualitative observations.

A quantitative observation is the objective collection of data primarily focused on numbers and values. It suggests “associated with, of or depicted in terms of a quantity.” Results of quantitative observation are derived using statistical and numerical analysis methods. It implies observation of any entity associated with a numeric value such as age, shape, weight, volume, scale, etc. For example, the researcher can track if current customers will refer the brand using a simple Net Promoter Score question .

Qualitative observation doesn’t involve measurements or numbers but instead just monitoring characteristics. In this case, the researcher observes the respondents from a distance. Since the respondents are in a comfortable environment, the characteristics observed are natural and effective. In a descriptive research design, the researcher can choose to be either a complete observer, an observer as a participant, a participant as an observer, or a full participant. For example, in a supermarket, a researcher can from afar monitor and track the customers’ selection and purchasing trends. This offers a more in-depth insight into the purchasing experience of the customer.

Case study method

Case studies involve in-depth research and study of individuals or groups. Case studies lead to a hypothesis and widen a further scope of studying a phenomenon. However, case studies should not be used to determine cause and effect as they can’t make accurate predictions because there could be a bias on the researcher’s part. The other reason why case studies are not a reliable way of conducting descriptive research is that there could be an atypical respondent in the survey. Describing them leads to weak generalizations and moving away from external validity.

Survey research

In survey research, respondents answer through surveys or questionnaires or polls . They are a popular market research tool to collect feedback from respondents. A study to gather useful data should have the right survey questions. It should be a balanced mix of open-ended questions and close ended-questions . The survey method can be conducted online or offline, making it the go-to option for descriptive research where the sample size is enormous.

Examples of descriptive research

Some examples of descriptive research are:

A specialty food group launching a new range of barbecue rubs would like to understand what flavors of rubs are favored by different people. To understand the preferred flavor palette, they conduct this type of research study using various methods like observational methods in supermarkets. By also surveying while collecting in-depth demographic information, offers insights about the preference of different markets. This can also help tailor make the rubs and spreads to various preferred meats in that demographic. Conducting this type of research helps the organization tweak their business model and amplify marketing in core markets.
Another example of where this research can be used is if a school district wishes to evaluate teachers’ attitudes about using technology in the classroom. By conducting surveys and observing their comfortableness using technology through observational methods, the researcher can gauge what they can help understand if a full-fledged implementation can face an issue. This also helps in understanding if the students are impacted in any way with this change.

Some other research problems and research questions that can lead to descriptive research are:

Market researchers want to observe the habits of consumers.
A company wants to evaluate the morale of its staff.
A school district wants to understand if students will access online lessons rather than textbooks.
To understand if its wellness questionnaire programs enhance the overall health of the employees.

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Descriptive Research in Psychology: Methods, Applications, and Importance

Picture a psychologist’s toolkit, brimming with an array of methods designed to unravel the mysteries of the human mind—among them, the unsung hero of descriptive research, a powerful lens through which we can observe, understand, and illuminate the vast landscape of human behavior and cognition. This versatile approach to psychological inquiry serves as a cornerstone in our quest to comprehend the intricacies of the human experience, offering insights that shape our understanding of everything from child development to social interactions.

Descriptive research in psychology is like a skilled artist’s sketch, capturing the essence of human behavior and mental processes with precision and depth. It’s the foundation upon which many psychological theories are built, providing a rich tapestry of observations that inform more complex studies. Unlike experimental methods that manipulate variables to establish cause-and-effect relationships, descriptive research aims to paint a vivid picture of what is, rather than what could be.

Defining Descriptive Research in Psychology: More Than Meets the Eye

At its core, descriptive research in psychology is a systematic approach to observing and cataloging human behavior, thoughts, and emotions in their natural context. It’s the scientific equivalent of people-watching, but with a structured methodology and a keen eye for detail. This type of research doesn’t just scratch the surface; it dives deep into the nuances of human experience, capturing the subtleties that might otherwise go unnoticed.

The beauty of descriptive research lies in its versatility. It can take many forms, each offering a unique perspective on the human psyche. From participant observation in psychology , where researchers immerse themselves in the world they’re studying, to meticulous case studies that explore individual experiences in depth, descriptive research adapts to the questions at hand.

One of the primary goals of descriptive research is to provide a comprehensive account of a phenomenon. It’s not about proving or disproving hypotheses; instead, it’s about gathering rich, detailed information that can later inform more targeted inquiries. This approach is particularly valuable when exploring new or understudied areas of psychology, serving as a springboard for future research.

Methods and Techniques: The Descriptive Researcher’s Toolkit

The methods employed in descriptive research are as diverse as the questions they seek to answer. Let’s take a closer look at some of the key tools in the descriptive researcher’s arsenal:

1. Observational methods: Picture a researcher sitting quietly in a playground, noting how children interact. This direct observation can yield invaluable insights into social development and behavior patterns.

2. Case studies: These in-depth explorations of individual experiences can shed light on rare psychological phenomena or provide detailed accounts of therapeutic interventions.

3. Surveys and questionnaires: By tapping into the thoughts and opinions of large groups, researchers can identify trends and patterns in attitudes and behaviors.

4. Archival research in psychology : Delving into historical records and existing datasets can uncover long-term trends and provide context for current psychological phenomena.

5. Naturalistic observation: This method involves studying behavior in its natural environment, without interference from the researcher. It’s like being a fly on the wall, capturing authentic human interactions.

Each of these methods has its strengths and limitations, and skilled researchers often combine multiple approaches to gain a more comprehensive understanding of their subject matter.

Applications: Descriptive Research in Action

The applications of descriptive research in psychology are as varied as human behavior itself. Let’s explore how this approach illuminates different areas of psychological study:

In developmental psychology, descriptive research plays a crucial role in understanding how children grow and change over time. Longitudinal studies in psychology , which follow the same group of individuals over an extended period, provide invaluable insights into the trajectory of human development.

Social psychology relies heavily on descriptive methods to explore how people interact and influence one another. For instance, observational studies in public spaces can reveal patterns of nonverbal communication or group dynamics that might be difficult to capture in a laboratory setting.

Clinical psychology often employs case studies to delve into the complexities of mental health disorders. These detailed accounts can provide rich, contextual information about the lived experiences of individuals dealing with psychological challenges.

In educational psychology, descriptive research helps identify effective teaching strategies and learning patterns. Classroom observations and student surveys can inform educational policies and practices, ultimately improving learning outcomes.

Real-world examples of descriptive studies abound. Consider the famous “Bobo doll” experiments by Albert Bandura, which used observational methods to explore how children learn aggressive behaviors. While not strictly descriptive in nature, these studies incorporated descriptive elements that provided crucial insights into social learning theory.

Strengths and Limitations: A Balanced View

Like any research method, descriptive research has its strengths and limitations. On the plus side, it offers a level of ecological validity that’s hard to match in controlled experiments. By studying behavior in natural settings, researchers can capture the complexity and nuance of real-world phenomena.

Descriptive research is also particularly adept at identifying patterns and generating hypotheses. It’s often the first step in a longer research process, providing the foundation for more targeted experimental studies. This approach can be especially valuable when dealing with sensitive topics or populations that might be difficult to study in more controlled settings.

However, it’s important to acknowledge the limitations of descriptive research. One of the primary challenges is the directionality problem in psychology . While descriptive studies can identify relationships between variables, they can’t establish causation. This limitation can sometimes lead to misinterpretation of results or overreaching conclusions.

Another potential pitfall is researcher bias. The subjective nature of some descriptive methods, particularly observational studies, can introduce unintended biases into the data collection and interpretation process. Researchers must be vigilant in maintaining objectivity and employing strategies to minimize bias.

When compared to experimental research, descriptive studies may seem less rigorous or definitive. However, this perception overlooks the unique value that descriptive research brings to the table. While experiments are excellent for testing specific hypotheses and establishing causal relationships, they often lack the richness and contextual detail that descriptive methods provide.

Conducting a Descriptive Study: From Planning to Publication

Embarking on a descriptive research project requires careful planning and execution. Here’s a roadmap for aspiring researchers:

1. Define your research question: Start with a clear, focused question that guides your inquiry. What specific aspect of human behavior or cognition do you want to explore?

2. Choose your method: Select the descriptive technique(s) best suited to answer your research question. Will you be conducting surveys, observing behavior, or delving into case studies?

3. Develop your data collection tools: Create robust instruments for gathering information, whether it’s a well-designed questionnaire or a structured observation protocol.

4. Recruit participants: If your study involves human subjects, ensure you have a representative sample and obtain proper informed consent.

5. Collect data: Implement your chosen method(s) with consistency and attention to detail. Remember, the quality of your data will directly impact the value of your findings.

6. Analyze and interpret: Once you’ve gathered your data, it’s time to make sense of it. Look for patterns, themes, and relationships within your observations.

7. Draw conclusions: Based on your analysis, what can you say about the phenomenon you’ve studied? Be careful not to overstate your findings or imply causation where none has been established.

Throughout this process, it’s crucial to keep ethical considerations at the forefront. Respect for participants’ privacy, confidentiality, and well-being should guide every step of your research.

The Future of Descriptive Research: Evolving Methods and New Frontiers

As we look to the future, descriptive research in psychology continues to evolve and adapt to new challenges and opportunities. Emerging technologies are opening up exciting possibilities for data collection and analysis. For instance, wearable devices and smartphone apps are enabling researchers to gather real-time data on behavior and physiological responses in natural settings.

The rise of big data and advanced analytics is also transforming descriptive research. By analyzing vast datasets of human behavior online, researchers can identify patterns and trends on a scale previously unimaginable. However, this new frontier also brings ethical challenges, particularly around privacy and consent.

Another promising direction is the integration of descriptive methods with other research approaches. Quasi-experiments in psychology , which combine elements of descriptive and experimental research, offer a middle ground that can leverage the strengths of both approaches.

As we continue to unravel the complexities of the human mind, descriptive research will undoubtedly play a crucial role. Its ability to capture the richness and diversity of human experience makes it an indispensable tool in the psychologist’s toolkit.

In conclusion, descriptive research in psychology is far more than just a preliminary step in the scientific process. It’s a powerful approach that provides the foundation for our understanding of human behavior and mental processes. By offering detailed, contextual insights into the human experience, descriptive research helps us identify patterns, generate hypotheses, and ultimately advance our knowledge of psychology.

From exploring the intricacies of child development to unraveling the dynamics of social interactions, descriptive research continues to illuminate the vast landscape of human psychology. As we move forward, the challenge for researchers will be to harness new technologies and methodologies while maintaining the core strengths of descriptive approaches – their ability to capture the nuance, complexity, and diversity of human experience.

In the end, it’s this deep, rich understanding of human behavior that drives psychological science forward, informing theories, shaping interventions, and ultimately helping us to better understand ourselves and others. As we continue to explore the fascinating world of the human mind, descriptive research will remain an essential tool, helping us to see the world through the eyes of those we study and to tell their stories with clarity, empathy, and scientific rigor.

References:

1. Coolican, H. (2014). Research methods and statistics in psychology. Psychology Press.

2. Creswell, J. W., & Creswell, J. D. (2017). Research design: Qualitative, quantitative, and mixed methods approaches. Sage publications.

3. Goodwin, C. J., & Goodwin, K. A. (2016). Research in psychology: Methods and design. John Wiley & Sons.

4. Kazdin, A. E. (2011). Single-case research designs: Methods for clinical and applied settings. Oxford University Press.

5. Leedy, P. D., & Ormrod, J. E. (2015). Practical research: Planning and design. Pearson.

6. Marczyk, G., DeMatteo, D., & Festinger, D. (2005). Essentials of research design and methodology. John Wiley & Sons.

7. Mertens, D. M. (2014). Research and evaluation in education and psychology: Integrating diversity with quantitative, qualitative, and mixed methods. Sage publications.

8. Rosenthal, R., & Rosnow, R. L. (2008). Essentials of behavioral research: Methods and data analysis. McGraw-Hill.

9. Shaughnessy, J. J., Zechmeister, E. B., & Zechmeister, J. S. (2015). Research methods in psychology. McGraw-Hill Education.

10. Willig, C., & Rogers, W. S. (Eds.). (2017). The SAGE handbook of qualitative research in psychology. Sage.

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Descriptive Research and Case Studies

Learning objectives.

Explain the importance and uses of descriptive research, especially case studies, in studying abnormal behavior

Types of Research Methods

There are many research methods available to psychologists in their efforts to understand, describe, and explain behavior and the cognitive and biological processes that underlie it. Some methods rely on observational techniques. Other approaches involve interactions between the researcher and the individuals who are being studied—ranging from a series of simple questions; to extensive, in-depth interviews; to well-controlled experiments.

The three main categories of psychological research are descriptive, correlational, and experimental research. Research studies that do not test specific relationships between variables are called descriptive, or qualitative, studies . These studies are used to describe general or specific behaviors and attributes that are observed and measured. In the early stages of research, it might be difficult to form a hypothesis, especially when there is not any existing literature in the area. In these situations designing an experiment would be premature, as the question of interest is not yet clearly defined as a hypothesis. Often a researcher will begin with a non-experimental approach, such as a descriptive study, to gather more information about the topic before designing an experiment or correlational study to address a specific hypothesis. Descriptive research is distinct from correlational research , in which psychologists formally test whether a relationship exists between two or more variables. Experimental research goes a step further beyond descriptive and correlational research and randomly assigns people to different conditions, using hypothesis testing to make inferences about how these conditions affect behavior. It aims to determine if one variable directly impacts and causes another. Correlational and experimental research both typically use hypothesis testing, whereas descriptive research does not.

Each of these research methods has unique strengths and weaknesses, and each method may only be appropriate for certain types of research questions. For example, studies that rely primarily on observation produce incredible amounts of information, but the ability to apply this information to the larger population is somewhat limited because of small sample sizes. Survey research, on the other hand, allows researchers to easily collect data from relatively large samples. While surveys allow results to be generalized to the larger population more easily, the information that can be collected on any given survey is somewhat limited and subject to problems associated with any type of self-reported data. Some researchers conduct archival research by using existing records. While existing records can be a fairly inexpensive way to collect data that can provide insight into a number of research questions, researchers using this approach have no control on how or what kind of data was collected.

Correlational research can find a relationship between two variables, but the only way a researcher can claim that the relationship between the variables is cause and effect is to perform an experiment. In experimental research, which will be discussed later, there is a tremendous amount of control over variables of interest. While performing an experiment is a powerful approach, experiments are often conducted in very artificial settings, which calls into question the validity of experimental findings with regard to how they would apply in real-world settings. In addition, many of the questions that psychologists would like to answer cannot be pursued through experimental research because of ethical concerns.

The three main types of descriptive studies are case studies, naturalistic observation, and surveys.

Clinical or Case Studies

Psychologists can use a detailed description of one person or a small group based on careful observation. Case studies are intensive studies of individuals and have commonly been seen as a fruitful way to come up with hypotheses and generate theories. Case studies add descriptive richness. Case studies are also useful for formulating concepts, which are an important aspect of theory construction. Through fine-grained knowledge and description, case studies can fully specify the causal mechanisms in a way that may be harder in a large study.

Sigmund Freud developed many theories from case studies (Anna O., Little Hans, Wolf Man, Dora, etc.). F or example, he conducted a case study of a man, nicknamed “Rat Man,” in which he claimed that this patient had been cured by psychoanalysis. T he nickname derives from the fact that among the patient’s many compulsions, he had an obsession with nightmarish fantasies about rats.

Today, more commonly, case studies reflect an up-close, in-depth, and detailed examination of an individual’s course of treatment. Case studies typically include a complete history of the subject’s background and response to treatment. From the particular client’s experience in therapy, the therapist’s goal is to provide information that may help other therapists who treat similar clients.

Case studies are generally a single-case design, but can also be a multiple-case design, where replication instead of sampling is the criterion for inclusion. Like other research methodologies within psychology, the case study must produce valid and reliable results in order to be useful for the development of future research. Distinct advantages and disadvantages are associated with the case study in psychology.

A commonly described limit of case studies is that they do not lend themselves to generalizability . The other issue is that the case study is subject to the bias of the researcher in terms of how the case is written, and that cases are chosen because they are consistent with the researcher’s preconceived notions, resulting in biased research. Another common problem in case study research is that of reconciling conflicting interpretations of the same case history.

Despite these limitations, there are advantages to using case studies. One major advantage of the case study in psychology is the potential for the development of novel hypotheses of the cause of abnormal behavior for later testing. Second, the case study can provide detailed descriptions of specific and rare cases and help us study unusual conditions that occur too infrequently to study with large sample sizes. The major disadvantage is that case studies cannot be used to determine causation, as is the case in experimental research, where the factors or variables hypothesized to play a causal role are manipulated or controlled by the researcher.

Link to Learning: Famous Case Studies

Some well-known case studies that related to abnormal psychology include the following:

Harlow— Phineas Gage
Breuer & Freud (1895)— Anna O.
Cleckley’s case studies: on psychopathy ( The Mask of Sanity ) (1941) and multiple personality disorder ( The Three Faces of Eve ) (1957)
Freud and Little Hans
Freud and the Rat Man
John Money and the John/Joan case
Genie (feral child)
Piaget’s studies
Rosenthal’s book on the murder of Kitty Genovese
Washoe (sign language)
Patient H.M.

Naturalistic Observation

If you want to understand how behavior occurs, one of the best ways to gain information is to simply observe the behavior in its natural context. However, people might change their behavior in unexpected ways if they know they are being observed. How do researchers obtain accurate information when people tend to hide their natural behavior? As an example, imagine that your professor asks everyone in your class to raise their hand if they always wash their hands after using the restroom. Chances are that almost everyone in the classroom will raise their hand, but do you think hand washing after every trip to the restroom is really that universal?

This is very similar to the phenomenon mentioned earlier in this module: many individuals do not feel comfortable answering a question honestly. But if we are committed to finding out the facts about handwashing, we have other options available to us.

Suppose we send a researcher to a school playground to observe how aggressive or socially anxious children interact with peers. Will our observer blend into the playground environment by wearing a white lab coat, sitting with a clipboard, and staring at the swings? We want our researcher to be inconspicuous and unobtrusively positioned—perhaps pretending to be a school monitor while secretly recording the relevant information. This type of observational study is called naturalistic observation : observing behavior in its natural setting. To better understand peer exclusion, Suzanne Fanger collaborated with colleagues at the University of Texas to observe the behavior of preschool children on a playground. How did the observers remain inconspicuous over the duration of the study? They equipped a few of the children with wireless microphones (which the children quickly forgot about) and observed while taking notes from a distance. Also, the children in that particular preschool (a “laboratory preschool”) were accustomed to having observers on the playground (Fanger, Frankel, & Hazen, 2012).

woman in black leather jacket sitting on concrete bench

It is critical that the observer be as unobtrusive and as inconspicuous as possible: when people know they are being watched, they are less likely to behave naturally. For example, psychologists have spent weeks observing the behavior of homeless people on the streets, in train stations, and bus terminals. They try to ensure that their naturalistic observations are unobtrusive, so as to minimize interference with the behavior they observe. Nevertheless, the presence of the observer may distort the behavior that is observed, and this must be taken into consideration (Figure 1).

The greatest benefit of naturalistic observation is the validity, or accuracy, of information collected unobtrusively in a natural setting. Having individuals behave as they normally would in a given situation means that we have a higher degree of ecological validity, or realism, than we might achieve with other research approaches. Therefore, our ability to generalize the findings of the research to real-world situations is enhanced. If done correctly, we need not worry about people modifying their behavior simply because they are being observed. Sometimes, people may assume that reality programs give us a glimpse into authentic human behavior. However, the principle of inconspicuous observation is violated as reality stars are followed by camera crews and are interviewed on camera for personal confessionals. Given that environment, we must doubt how natural and realistic their behaviors are.

The major downside of naturalistic observation is that they are often difficult to set up and control. Although something as simple as observation may seem like it would be a part of all research methods, participant observation is a distinct methodology that involves the researcher embedding themselves into a group in order to study its dynamics. For example, Festinger, Riecken, and Shacter (1956) were very interested in the psychology of a particular cult. However, this cult was very secretive and wouldn’t grant interviews to outside members. So, in order to study these people, Festinger and his colleagues pretended to be cult members, allowing them access to the behavior and psychology of the cult. Despite this example, it should be noted that the people being observed in a participant observation study usually know that the researcher is there to study them. [1]

Another potential problem in observational research is observer bias . Generally, people who act as observers are closely involved in the research project and may unconsciously skew their observations to fit their research goals or expectations. To protect against this type of bias, researchers should have clear criteria established for the types of behaviors recorded and how those behaviors should be classified. In addition, researchers often compare observations of the same event by multiple observers, in order to test inter-rater reliability : a measure of reliability that assesses the consistency of observations by different observers.

Often, psychologists develop surveys as a means of gathering data. Surveys are lists of questions to be answered by research participants, and can be delivered as paper-and-pencil questionnaires, administered electronically, or conducted verbally (Figure 3). Generally, the survey itself can be completed in a short time, and the ease of administering a survey makes it easy to collect data from a large number of people.

Surveys allow researchers to gather data from larger samples than may be afforded by other research methods . A sample is a subset of individuals selected from a population , which is the overall group of individuals that the researchers are interested in. Researchers study the sample and seek to generalize their findings to the population.

A sample online survey reads, “Dear visitor, your opinion is important to us. We would like to invite you to participate in a short survey to gather your opinions and feedback on your news consumption habits. The survey will take approximately 10-15 minutes. Simply click the “Yes” button below to launch the survey. Would you like to participate?” Two buttons are labeled “yes” and “no.”

There is both strength and weakness in surveys when compared to case studies. By using surveys, we can collect information from a larger sample of people. A larger sample is better able to reflect the actual diversity of the population, thus allowing better generalizability. Therefore, if our sample is sufficiently large and diverse, we can assume that the data we collect from the survey can be generalized to the larger population with more certainty than the information collected through a case study. However, given the greater number of people involved, we are not able to collect the same depth of information on each person that would be collected in a case study.

Another potential weakness of surveys is something we touched on earlier in this module: people do not always give accurate responses. They may lie, misremember, or answer questions in a way that they think makes them look good. For example, people may report drinking less alcohol than is actually the case.

Any number of research questions can be answered through the use of surveys. One real-world example is the research conducted by Jenkins, Ruppel, Kizer, Yehl, and Griffin (2012) about the backlash against the U.S. Arab-American community following the terrorist attacks of September 11, 2001. Jenkins and colleagues wanted to determine to what extent these negative attitudes toward Arab-Americans still existed nearly a decade after the attacks occurred. In one study, 140 research participants filled out a survey with 10 questions, including questions asking directly about the participant’s overt prejudicial attitudes toward people of various ethnicities. The survey also asked indirect questions about how likely the participant would be to interact with a person of a given ethnicity in a variety of settings (such as, “How likely do you think it is that you would introduce yourself to a person of Arab-American descent?”). The results of the research suggested that participants were unwilling to report prejudicial attitudes toward any ethnic group. However, there were significant differences between their pattern of responses to questions about social interaction with Arab-Americans compared to other ethnic groups: they indicated less willingness for social interaction with Arab-Americans compared to the other ethnic groups. This suggested that the participants harbored subtle forms of prejudice against Arab-Americans, despite their assertions that this was not the case (Jenkins et al., 2012).

Think it Over

Research has shown that parental depressive symptoms are linked to a number of negative child outcomes. A classmate of yours is interested in the associations between parental depressive symptoms and actual child behaviors in everyday life [2] because this associations remains largely unknown. After reading this section, what do you think is the best way to better understand such associations? Which method might result in the most valid data?

clinical or case study: observational research study focusing on one or a few people

correlational research: tests whether a relationship exists between two or more variables

descriptive research: research studies that do not test specific relationships between variables; they are used to describe general or specific behaviors and attributes that are observed and measured

experimental research: tests a hypothesis to determine cause-and-effect relationships

generalizability: inferring that the results for a sample apply to the larger population

inter-rater reliability: measure of agreement among observers on how they record and classify a particular event

naturalistic observation: observation of behavior in its natural setting

observer bias: when observations may be skewed to align with observer expectations

population: overall group of individuals that the researchers are interested in

sample: subset of individuals selected from the larger population

survey: list of questions to be answered by research participants—given as paper-and-pencil questionnaires, administered electronically, or conducted verbally—allowing researchers to collect data from a large number of people

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Slatcher, R. B., & Trentacosta, C. J. (2011). A naturalistic observation study of the links between parental depressive symptoms and preschoolers' behaviors in everyday life. Journal of family psychology : JFP : journal of the Division of Family Psychology of the American Psychological Association (Division 43), 25(3), 444–448. https://doi.org/10.1037/a0023728 ↵

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Open access
Published: 15 September 2024

Health sciences students’ perspectives on metaverse and digital technology use: cross-sectional descriptive study

Hale Sezer 1 &
Abdülkadir Gül 2

BMC Nursing volume 23 , Article number: 656 ( 2024 ) Cite this article

Metrics details

Students’ attitudes towards digital technologies affect their use of innovations in digital education. In the study, it was aimed to determine undergraduate health sciences students’ views about the Metaverse and digital technology.

This study was a cross-sectional descriptive study. In the study sample, 289 health sciences students who voluntarily agreed to participate in the research and filled out the online data collection form were included. The Independent Samples T-Test, Multivariate ANOVA analysis of variance (MANOVA) and Pearson correlation analysis were used. P-values less than 0.05 were considered statistically significant.

The mean score the participants obtained from the Metaverse Scale was 53.54 ± 9.00, indicating that their levels of knowledge and awareness about the Metaverse were high. The mean score they obtained from the Attitude Scale for Digital Technology was 135.98 ± 21.28, which indicated that displayed positive attitudes towards digital technology. There was no significant difference between the mean scores the participants obtained from the Attitude Scale for Digital Technology and the Metaverse Scale according to their departments and years in school. There was a positive and weak relationship between the Metaverse Scale scores and Attitude Scale for Digital Technology scores.

Conclusions

The participants’ knowledge and awareness levels about the Metaverse were high and they displayed positive attitudes towards digital technology. It is recommended that digital technologies should be used in planning undergraduate education and Metaverse platforms or applications in virtual classroom settings.

Peer Review reports

Innovations in digital education, artificial intelligence and Metaverse are indispensable for learning, and educational innovation in the future [ 1 ]. In today’s digital world, the Metaverse, one of the new communication tools, has entered our lives as a new technological concept and gradually developed with the penetration of the internet into all areas of our lives [ 2 ]. Metaverse is also used in the field of education by providing interaction via avatars [ 3 , 4 ]. Thanks to this technology, the Metaverse, which exists in many areas of our lives, has provided an innovation for the whole world in terms of switching to distance education and discussing its importance during the COVID-19 pandemic [ 2 ]. Metaverse, still a developing multidimensional technology, is expected to have a wide range of uses in the future [ 5 ]. Thus, being aware of the awareness and opinions of students who first use innovative technologies regarding these technologies enables them to use the Metaverse world most effectively and efficiently [ 6 ]. Another concept closely related to the Metaverse is digital technology [ 7 ].

Digital technology alters individuals’ lifestyles and activities, influencing how they communicate and manage their time [ 7 ]. Adapting to, learning or using new technological developments helps young individuals to play an active role in society [ 7 ]. [ 8 ].

The new generation has no worries about using and adapting to digital technology [ 8 ]. However, it has been predicted that when digital technology is compatible with the daily routines of the new generation, their effort to learn this technology will increase [ 8 ]. This change and digitalization have also contributed to advances in the field of education. Thanks to digital technologies, students and educators can interact with their classmates, and access learning resources anytime and anywhere [ 9 ]. Health science students’ experiencing, internalizing, and using developing digital technologies rapidly before and after graduation is of great importance. Considering that they will take place in the delivery of health services with augmented reality (AR), virtual reality (VR), extended reality (XR), artificial intelligence and Metaverse technologies, it is thought that determining their views on the use of digital technologies and the Metaverse in undergraduate education will affect their use them in the future.

The metaverse was first mentioned in a science fiction novel called “Snow Crash” written by Neal Stephenson in 1992 although it is not a new concept [ 10 ]. [ 10 ].

In the novel, the Metaverse represents a parallel universe made up of computer programs, graphics, and designs, where users can communicate using glasses and headphones [ 10 ].

Later, a Metaverse called OASIS was mentioned in Ready Player One, a recently published novel, and in a movie adapted for the cinema [ 11 , 12 ]. In the novel, the author defined the concept of metaverse as a virtual universe that combines virtual reality, augmented reality and the internet [ 11 ]. The concept of Metaverse refers to the universe where the digital elements of communication tools are gathered together today [ 13 ]. The concept of the Metaverse comes from Ancient Greek words “Meta” which means after and “Verse” which means universe [ 14 ]. [ 14 ]. According to another definition, the virtual world makes it possible to interact with people and digital elements, to communicate as if the users were in the physical world using avatars, and to perform various activities [ 14 ]. Metaverse environment refers to a technology-enabled 3D space that provides interactive experiences. In this environment, technologies such as virtual reality (VR), augmented reality (AR), virtual worlds (VW), mixed reality (MR) and extended reality (XR) are used [ 15 ]. Several studies are carried out on how the Metaverse is used in the field of health sciences by students [ 3 , 15 , 16 , 17 , 18 , 19 ]. Most of these studies were conducted with nursing students [ 3 , 15 ]. In a literature review, Moro emphasized that Metaverse can be used in health science students’ anatomy and physiology courses [ 20 ]. In a systematic review, Gagne et al. determined that Metaverse interventions improved students’ knowledge, self-confidence, participation and satisfaction, and supported their performance [ 15 ]. Nursing students took part in Metaverse-based core nursing skill contents (CNSC) training [ 3 ], Metaverse-based career mentoring program [ 16 ], Metaverse-based schizophrenia nursing simulation program [ 17 ], and Metaverse-based cardiopulmonary resuscitation (CPR) training [ 18 ]. Metaverse-based trainings helped students develop their basic nursing skills [ 3 ], had a positive effect on their career decision-making self-efficacy [ 16 ], and improved their CPR performance [ 18 ]. Although several studies have been conducted on Metaverse applications, the number of studies conducted to determine whether students agree to use the Metaverse and whether they have positive opinions of the Metaverse is limited [ 21 , 22 , 23 , 24 ]. The search for studies conducted with health science students in particular revealed a gap in the literature. Users’ perception of the usefulness of digital technological innovation is an important determinant of technology adoption [ 21 ].

Although examples of educational programs based on metaverse are increasingly implemented and appear in the literature, the determinant of whether the use of digital technologies in education will become widespread or not is the students. Students’ attitudes towards digital technologies or their adoption of digital technologies will pave the way for educators whether they can use this technology in their educational programs. Determining health sciences students’ views on the use of digital technologies and the metaverse is of great importance in the elimination of deficiencies in the existing literature in this field. In particular, there is a need for a comprehensive understanding of the effects of digital technologies and the metaverse on educational processes, on students’ adaptation processes to these innovations, and on their implications for future professional practices. Therefore, studies should be conducted to investigate health sciences students’ attitudes and experiences regarding these issues. Therefore, in order to fill the gap, conducting a study in which health sciences students’ views on digital technology and the use of metaverse are determined gains importance. In this context, in Turkish literature, no studies have been conducted with students of health sciences in which their views on the Metaverse and digital technology were investigated. Therefore, in the present study, the aim was to determine the views of students of health sciences about the use of metaverse and digital technology in undergraduate education.

Study design

This cross-sectional and descriptive study was conducted online using Google Forms between January 2023 and May 2023 [ 25 ].

The population of the study comprised 1433 students attending Izmir Bakırçay University Faculty of Health Sciences. The sample size was determined as 304 students in the OpenEpi Program with a 95% confidence interval. The e-survey was conducted between January 2023 and May 2023 with 289 students who volunteered to participate in the study. The participation rate was 95.06%. The inclusion criteria of the study were as follows: being a health sciences student at the aforementioned university, and volunteering to participate in the study. The exclusion criterion was as follows: not completing the online data collection forms.

Data collection

The data were collected using the “Students’ Descriptive Information Form”, “Metaverse Scale” and “Attitude Scale for Digital Technology”. To protect the confidentiality of the data, data was collected via “Google forms”. It took respondents approximately 5 minutes to respond to the survey form.

The e-survey link was sent to WhatsApp student groups, including only health sciences students, as a reminder once a week between January 2023 and May 2023. Of the students, those who volunteered to participate in the survey were asked to fill in the online questionnaire. Each student was allowed to complete the online questionnaire only once.

Students’ Descriptive Information Form: The form the researchers prepared in line with the literature includes 16 items questioning the students’ sex, age, year at school, department, daily internet usage time, experience of using digital tools in classes, use of wearable technology, will to use the Metaverse, experience of the Metaverse application or platform, and social networks they use.

Metaverse Scale (MS): The MS was used to determine students’ knowledge of, attitudes towards and awareness of the Metaverse. Süleymanoğulları et al. performed the validity and reliability of the MS in 2022 [ 12 ]. The MS consists of 15 items and the following 4 sub-dimensions: technology, digitalization, social and lifestyle. The internal consistency coefficient (Cronbach’s alpha) of the MS was measured as 0.813 in Süleymanoğulları et al.’s study, and 0.866 in the present study. Responses given to the items are rated on a 5-point Likert type scale ranging from 1 (strongly disagree) to 5 (strongly agree). The lowest and highest possible scores that can be obtained from the MS are 15 and 75, respectively. As the scores obtained from the MS increase, so does the level of knowledge and awareness about the Metaverse (The higher the score obtained from the MS the higher level of knowledge and awareness about the Metaverse is) [ 12 ].

Attitude Scale for Digital Technology (ASDT): Cabı E. developed the ASDT in 2016 to determine students’ attitudes towards digital technology [ 26 ]. The ASDT consists of 8 sub-dimensions and 39 items whose responses are rated on a 5-point Likert scale ranging from 1 (I totally /strongly disagree) to 5 (I totally /strongly agree). The higher the score obtained from the ASDT is the more favorable the student’s attitude towards digital technology is. The internal consistency coefficient (Cronbach’s alpha) of the ASDT was measured as 0.90 in Cabı E.’s study, and 0.937 in the present study.

Statistical analysis

The study data were analyzed using the IBM SPSS (Statistical Package for the Social Sciences) for Windows 25.0. While numbers, percentages, arithmetic mean and standard deviation were used for the descriptive characteristics of the students, data on their daily internet use time, digital tool usage experience in courses, use of wearable technology, will to use the Metaverse, Metaverse application or platform experience, and social networks they use were used to measure their knowledge of the Metaverse. The Kolmogorov Smirnov test was used to check whether the data were normally distributed. Because the data were normally distributed, the independent samples t-test was used to compare the relationship between the independent variables and the mean scores obtained from the Metaverse Scale and Attitude Scale for Digital Technology. The Multivariate ANOVA analysis of variance (MANOVA) was used to compare the mean scores the participating students obtained from the Metaverse Scale and Attitude Scale for Digital Technology in terms of their departments and year at school. The Pearson correlation analysis was used to analyze the relationship between the mean scores the participating students obtained from the Metaverse Scale and Attitude Scale for Digital Technology. P-values less than 0.05 were considered statistically significant.

The mean age of the students participating in the study was 20.75 ± 1.77 years. The mean duration of daily internet use was 6.04 ± 3.22 h. Of the students, 73% (n: 211) were women, 51.9% (n: 150) were attending the nursing department and 36.7% (n: 106) were second-year students (Table 1 ).

Of the students participating in the study, 70.6% (n: 204) had heard about the concept of the Metaverse, 88.9% (n: 257) perceived their level of knowledge on the Metaverse inadequate, 83.4% (n: 241) stated that the use of the Metaverse in the courses would increase the efficiency of the course, 86.9% (n: 251) thought that the Metaverse would make their lives easier, 53.3% (n: 145) did not feel ready to use the Metaverse, 87.9% (n: 254) had no experience in using the Metaverse platforms or applications, 72.7% (n: 210) stated that Metaverse platforms could be used instead of virtual classrooms, 63% (n: 182) experienced the use of digital technology in classes, 95.8% (n: 277) stated that digital technology should be used in classes, 92.7% (n: 268) stated that digital technologies facilitated learning, and 92% (n: 266) thought that the use of digital technologies in courses would increase efficiency (Table 2 ).

The mean score the participating students obtained from the overall Metaverse Scale and Attitude Scale for Digital Technology were 53.54 ± 9.00 and135.98 ± 21.28, respectively. There was no significant difference between the students from different departments and grades in terms of the mean scores they obtained from the overall Metaverse Scale and Attitude Scale for Digital Technology Scale ( p > 0.05) (Table 3 ).

The comparison of the participants’ views on the Metaverse using the Metaverse Scale demonstrated that the mean score obtained from the overall Metaverse Scale by those who believed that using the Metaverse in classes would increase efficiency (t: 5.130, p: 0.000) was statistically significant (Table 3 ). The mean score obtained from the overall Metaverse Scale by those who had the view that the metaverse would make our lives easier (t: 6.412, p: 0.000) was statistically significant (Table 3 ). The mean scores obtained from the overall Metaverse Scale by those who felt they were ready to use Metaverse (t: 3.976, p: 0.000) and those who were experienced in using Metaverse platforms or applications (t: 2.173, p: 0.031) were statistically significant (Table 3 ). The mean score obtained from the overall Metaverse Scale by those who agreed that the Metaverse platform could be used instead of virtual classrooms (t: 4.531, p: 0.000) was statistically significant (Table 3 ). The mean score obtained from the overall Metaverse Scale by those who agreed that digital technology should be used in courses (t: 3.143, p: 0.002) was statistically significant (Table 3 ). The mean score obtained from the overall Metaverse Scale by those who agreed with the view that the use of digital technology in courses would make learning easier (t: 2.216, p: 0.027) was statistically significant (Table 3 ). The mean score obtained from the overall Metaverse Scale by those who agreed with the view that the use of digital technology in courses would increase efficiency (t: 2.898, p: 0.004) was statistically significant (Table 3 ).

In the present study, the aim was to determine the health sciences students’ views about the use of the Metaverse and digital technology in undergraduate education.

There has been a significant increase in the use of technology in all areas of our lives in recent years [ 27 ]. Using digital technologies as an effective pedagogical tool to improve the teaching and learning processes facilitates learning [ 28 , 29 , 30 ]. Therefore, it is important to know health sciences students’ views of digital technologies and to develop appropriate infrastructures so that they can keep up with today’s changing digital norms.

In the present study, the participating students’ mean duration of daily internet use was 6.04 ± 3.22 h. In İlk’s study (2022), 44.5% of the students stated that they used the internet 3–4 h a day [ 29 ]. In another study carried out with the Z generation, young people spent 1.5–4 h on the computer by watching movies, TV series, etc., which suggests that the mean duration of daily internet use is similar in the similar age groups [ 30 ].

In the present study, of the students, more than half had heard of the concept of metaverse before, the vast majority did not perceive their knowledge of the Metaverse adequate and thought that the Metaverse could facilitate their daily life, more than half did not feel they were ready to use Metaverse, and almost all did not have experience of using the Metaverse platforms or applications. The students’ perceiving their Metaverse knowledge level insufficient and not feeling ready to use metaverse platforms can be explained by the fact that they did not have any experience in using the Metaverse platforms. Similarly, in another study, 70.6% of the students had never used the Metaverse before [ 24 ]. In order for education to keep up with current digital technologies, students should be more experienced in these platforms. As the students become more experienced, the aspects of the use of digital technologies in education that should be developed or adapted will become clearer.

One of the surprising results of the present study was that although the students were not experienced in using the Metaverse platform, the majority of them stated that the Metaverse could be used instead of virtual classroom platforms. This was probably because they had heard of the concept of the Metaverse before. In another study conducted with students, it was stated that the Metaverse platform facilitated communication between students during the courses and ensured collaborative learning [ 31 ]. In the present study, the students stated that the use of Metaverse in the courses would increase the efficiency of the course although they did not perceive their knowledge of the Metaverse sufficient. As in the present study, in Al-nawaiseh et al.’s study (2023), the use of Metaverse in the classroom setting helped learning [ 31 ]. In another study, 67.6% of the students wanted to use the Metaverse in the classroom and 44.1% of them stated that the Metaverse would ensure permanent and meaningful learning in the classroom [ 24 ]. The results of the present study suggest that the students had opinions favoring the use of metaverse in classes. In a study in which higher education students’ views of the Metaverse were questioned, most of the students believed that the Metaverse would help their learning better [ 23 ].

In the present study, more than half of the students experienced the use of digital technology in the courses and almost all of them thought that digital technology should be used in classes, that digital technologies would facilitate learning and that the use of digital technologies in the classes would increase efficiency. The widespread use of digital platforms in universities [ 29 ] can be explained by the fact that students have the opportunity to experience the positive contributions of digital technology use to their learning processes. In another study conducted with health science students, 68% of the students used digital technology for learning purposes [ 28 ]. However, several problems such as understanding, adapting and designing educational systems in accordance with current technological trends have arisen in the integration of digital technologies into education [ 32 ]. While lack of experience and low digital infrastructure capacity are among institutional problems [ 32 ], the problem experienced students is their digital literacy levels [ 33 ], and problems experienced by trainers are that they lack experience and that their roles in the classroom change from being educational to being facilitators and guides [ 33 ]. However, the area where digital technologies are most effective in education is that they help create collaborative and cooperative learning environments [ 33 ].

In the present study, the mean score the students obtained from the overall Metaverse Scale was 53 out of 75 points. This result can be interpreted as the participants’ knowledge and awareness levels regarding the Metaverse were high. Similarly, in another study, the sports science students’ mean score for the awareness of the concept of the Metaverse was above the average [ 4 ]. In the present study, the mean score the students obtained from the Attitude Scale for Digital Technology was 135.98 out of 195 points. This finding can be interpreted as the students displayed positive attitudes towards digital technology. Workie et al. (2023), stated that 46.8% of the students displayed positive attitudes towards digital technology [ 28 ]. In another study, the students whose attitudes towards digital technology were positive were more likely to use digital technology [ 34 ]. In the current study, a weak positive correlation was determined between the students’ attitudes towards digital technology and their level of knowledge and awareness about the metaverse. This finding can be interpreted as the higher the level of knowledge and awareness of the Metaverse, the more favorable the students’ attitude towards digital technology.

In the present study, as in the literature [ 4 ], there was no significant difference between the students from different departments and grades in terms of the mean scores they obtained from the overall Metaverse Scale and Attitude Scale for Digital Technology Scale ( p > 0.05). However, the sex variable led to a significant difference between the mean scores the students obtained from the overall Attitude Scale for Digital Technology (t: 3,424, p: 0,001). As in the present study, in two other studies, the sex variable led to a significant difference between the students’ attitude towards digital technology [ 29 , 30 ]. According to the 2022 data released by the Turkish Statistical Institute (TÜİK), male individuals between the ages of 16–24 years displayed more favorable attitudes towards digital technology than did female individuals [ 35 ].

In the present study, those who thought that using the Metaverse and digital technology in courses would increase productivity, those who thought that the Metaverse would make our lives easier, those who felt ready to use the Metaverse, those who had experience of using the Metaverse platforms or applications, and those who agreed that the Metaverse platform could be used instead of virtual classrooms, and those who agreed that the use of digital technology in courses would facilitate learning and increase efficiency obtained higher scores from the Metaverse Scale. There was a statistically significant difference between their scores and the other students’ scores ( p < 0.05). Similarly, in Talan and Kalınkara’s study (2022), the students agreed with the view that the Metaverse had pedagogical benefits [ 24 ]. The mean score obtained from the Attitude Scale for Digital Technology by the participants who had experience in using digital technology in the courses was statistically significantly higher than was that of the participants who did not have experience (t:3.057, p:0.002). Digital technology is critical for the academic performance development of students [ 28 ], and their attitudes are positively affected as they experience digital technology, which suggests that positive views on the use of Metaverse and digital technologies in education are associated with higher scores and more positive attitudes towards these technologies. It can be concluded that the integration of digital technologies and the Metaverse into education can improve students’ productivity and their learning experience.

The present study has some limitations. One of the limitations is that it is a cross-sectional study. Another limitation is that the findings were obtained from a single institution. Thus, the results obtained from the present study are applicable only to the students surveyed and they cannot be generalized to all health sciences students. The other limitation is that there was no educational initiative about Metaverse in the university where the study was carried. To overcome these limitations, studies with larger samples including health sciences students studying at different institutions both in Turkey and in other countries of the world can be carried out, and action research can be conducted on this topic. Education policies can be developed to promote the use of Metaverse and digital technologies, which are considered innovative approaches used in educational programs, and educators can be encouraged to participate in faculty development programs to use these technologies.

In the present study, it was aimed to determine the digital technology-related attitudes of health sciences students attending a public university about metaverse and their awareness of the Metaverse. Therefore, as the topic of the study is the first conducted with health science students, it is expected to fill the knowledge gap regarding digital technology attitudes and Metaverse awareness of those students. It was determined that health sciences students displayed positive attitudes towards digital technology and their level of awareness of the Metaverse was above the average. It is recommended that educators in the field of health sciences should provide students with appropriate technology-enriched educational environments by using the data on digital technology and Metaverse obtained in the present study.

Data availability

The data associated with the paper are not publicly available but are available from the corresponding author on reasonable request.

Shelley B. The metaverse: a new avatar in medical educational ecosystems? Arch Med Heal Sci. 2022;10(2):147.

Article Google Scholar

Ergüney M, Tepe N, Metaverse. A Metaphor Study. J Hum Soc Sci Res. 2023;12(2):1178–95.

Google Scholar

Kweon M. The development and effects of metaverse-based core nursing skill contents of vital signs measurements and subcutaneous injections for nursing students. J Korean Acad Soc Nurs Educ. 2022;28(4):378–88.

Çakir Z, Gönen M, Ceyhan MA. Investigation of Metaverse awareness of students of Faculty Sports sciences. CBU J Phys Educ Sport Sci. 2022;17(2):406–18.

Lee L, Braud T, Zhou P, Wang L, Xu D, Lin Z, et al. All one needs to know about Metaverse : a complete survey on Technological Singularity, virtual ecosystem, and Research Agenda. Journnal Latex Cl Files. 2021;14(8):1–66.

CAS Google Scholar

Garip S, Köker NE. User perceptions regarding metaverse: a qualitative review in the context of difference theory. New Media J. 2023;14:235–50.

Tuna Uysal M. The role of Digital Technology in the socialization of older people: a study on Digital Elderly. SDU Fac Arts Sci J Soc Sci. 2020;50(August):43–59.

Şimşir İ, Mete B. The Future of Healthcare Services : Digital Health Technologies. J Innov Healthc Pract. 2021;2(1):33–9.

Kuş O, Metaverse. Perceptions regarding opportunities and concerns in the Digital Big Bang. Intermedia Int E-J. 2021;8(15):245–66.

Joshua J. Information bodies: computational anxiety in Neal Stephenson’s Snow Crash. Interdiscip Lit Stud. 2017;19(1):17–47.

Sparkes M. What is a metaverse. News Technol. 2021;251(3348):18.

Süleymanoğulları M, Özdemir A, Bayraktar G, Vural M. Metaverse Ölçeği Geliştirme Çalışması. Anatolia Sport Res. 2022;1(1):47–58.

Dodds HE. Immersive Learning Environments : Designing XR into Higher Education. In: A Practitioner’s Guide to Instructional Design in Higher Education. 2021. pp. 69–78.

Çelik R. What is the Metaverse? Conceptual evaluation and overview. Balk Near East J Soc Sci. 2022;08(01):67–74.

De Gagne JC, Park HK, Cho E, Yamane SS. The use of metaverse in nursing education: an umbrella review. Nurse Educ. 2022;00(0):1–6.

Kim Y, Kim MY. Effects of metaverse-based career mentoring for nursing students: a mixed methods study. BMC Nurs. 2023;22(160):1–11.

Yang S, Kang M-KK. Efficacy testing of a Multi-access Metaverse-based early Onset Schizophrenia nursing Simulation Program: a quasi-experimental study. Int J Environ Res Public Health. 2023;20(449):1–18.

Ahn M-K. Development and effects of Metaverse-based CPR training. J Digit Contents Soc. 2023;24(6):1347–52.

Orr E, Arbel T, Levy M, Sela Y, Weissberger O, Liran O et al. Virtual reality in the management of patients with low back and neck pain: a retrospective analysis of 82 people treated solely in the metaverse. Arch Physiother [Internet]. 2023;13(1):1–12. https://doi.org/10.1186/s40945-023-00163-8

Moro C. Utilizing the metaverse in anatomy and physiology. Anat Sci Educ. 2023;16(4):574–81.

Article PubMed Google Scholar

Almarzouqi A, Aburayya A, Salloum SA. Prediction of user’s intention to Use Metaverse System in Medical Education: a hybrid SEM-ML Learning Approach. IEEE Access. 2022;10:43421–34.

Teng Z, Cai Y, Gao Y, Zhang X, Li X. Factors affecting Learners’ adoption of an Educational Metaverse platform: an empirical study based on an extended UTAUT model. Mob Inf Syst. 2022;2022:1–15.

Hwang G-J, Tu Y-F, Chu H-C. Conceptions of the metaverse in higher education: A draw-a-picture analysis and surveys to investigate the perceptions of students with different motivation levels. Comput Educ [Internet]. 2023;203:104868. https://linkinghub.elsevier.com/retrieve/pii/S0360131523001458

Talan T, Kalınkara Y. Students’ Opinions about the Educational Use of the Metaverse. Int J Technol Educ Sci [Internet]. 2022;6(2):333–46. https://www.ijtes.net/index.php/ijtes/article/view/385/pdf

Eysenbach G. Improving the quality of web surveys: the Checklist for reporting results of internet E-Surveys (CHERRIES). J Med Internet Res. 2004;6(3):1–6.

Cabı E. Attitude scale for Digital Technology. Kastamonu Educ J. 2016;24(3):1229–44.

Hakkarainen K, Iloma L, Lipponen L, Muukkonen H, Rahikainen M, Tuominen T, et al. Students ’ skills and practices of using ICT : results of a national assessment in Finland. Comput Educ. 2000;34(2000):103–17.

Workie A, Dugassa M, Damtew A. Informatics in Medicine Unlocked Digital technology utilization and its associated factors among health science students at Mettu University, Southwest Ethiopia : A cross-sectional study. Informatics Med Unlocked [Internet]. 2023;38(2023):101218. https://doi.org/10.1016/j.imu.2023.101218

İlk Ç. University Student’s attitudes toward Digital Technology. J Pharm Negat Results. 2022;13(8):2195–204.

Erten P. Z Kuşağının Dijital Teknolojiye Yönelik Tutumları. Gümüşhane Üniversitesi Sos Bilim Enstitüsü. Elektron Derg. 2019;10(1):190–202.

Al-nawaiseh SJ, Ahmad FB, Al-nawaiseh AJ, Ammar M, Nawaiseh A-. Investigating students ’ attitudes toward learning based on Metaverse. Int J Membr Sci Technol [Internet]. 2023;10(3):136–48. Available from: arxiv:2302.02176.

Timotheou S, Miliou O, Dimitriadis Y, Sobrino SV, Giannoutsou N, Cachia R et al. Impacts of digital technologies on education and factors influencing schools’ digital capacity and transformation: A literature review [Internet]. Vol. 28, Education and Information Technologies. Springer US; 2023. 6695–6726 p. https://doi.org/10.1007/s10639-022-11431-8

Mhlongo S, Mbatha K, Ramatsetse B, Dlamini R. Challenges, opportunities, and prospects of adopting and using smart digital technologies in learning environments: An iterative review. Heliyon [Internet]. 2023;9(6):e16348. https://doi.org/10.1016/j.heliyon.2023.e16348

Gyamfi SA. Pre-service teachers ’ attitude towards information and communication technology usage : a Ghanaian survey. Int J Educ Dev Using Inf Commun Technol. 2017;13(1):52–69.

TÜİK. Cinsiyete ve Yaş Grubuna Göre Bireylerin Son 3 Ay İçinde İnternet ve Bilgisayar Kullanım Oranı [Internet]. Ankara; 2022. https://data.tuik.gov.tr/Kategori/GetKategori?p=bilgi-teknolojileri-ve-bilgi-toplumu-102&dil=1

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The authors thank all of the students for their participation in this research.

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Department of Nursing Education, Faculty of Health Science, Izmir Bakırçay University, Izmir, Turkey

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Ethical approval was obtained from the “Noninvasive Clinical Research Ethics Committee of Izmir Bakırçay University” (date: 15/03/2023 no: 921). Participation in this research was voluntary. The students accepted to participate in the study by checking a button on the questionnaire form. The consent that was obtained from all of the nursing students was informed. Karaca et al. (2021), who had developed the scale, were consulted about the use of the scale on nursing students, and their permission was obtained via e-mail.

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Sezer, H., Gül, A. Health sciences students’ perspectives on metaverse and digital technology use: cross-sectional descriptive study. BMC Nurs 23 , 656 (2024). https://doi.org/10.1186/s12912-024-02309-w

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Descriptive Research | Definition, Types, Methods & Examples

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Descriptive Research Design – Types, Methods and Examples

Descriptive Research Design

Types of Descriptive Research Design

Cross-sectional Study

Longitudinal Study

Survey Research

Observational Research

Correlational Research

Data Analysis Methods

Descriptive Statistics

Cross-tabulation

Content Analysis

Qualitative Coding

Visualization

Comparative Analysis

Applications of Descriptive Research Design

Descriptive Research Design Examples

How to Conduct Descriptive Research Design

When to Use Descriptive Research Design

Purpose of Descriptive Research Design

Characteristics of Descriptive Research Design

Advantages of Descriptive Research Design

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Methods and results

Conclusions

Introduction

Rationale for qualitative descriptive research

Philosophical and theoretical influences

Methods in qualitative descriptive research

Data collection

Data analysis and interpretation

Challenges in using a qualitative descriptive design

Examples of the use of qualitative descriptive research in healthcare

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Quantitativeness

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Observation

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