Quantitative Research
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Quantitative research methods are concerned with the planning, design, and implementation of strategies to collect and analyze data. Descartes, the seventeenth-century philosopher, suggested that how the results are achieved is often more important than the results themselves, as the journey taken along the research path is a journey of discovery. High-quality quantitative research is characterized by the attention given to the methods and the reliability of the tools used to collect the data. The ability to critique research in a systematic way is an essential component of a health professional’s role in order to deliver high quality, evidence-based healthcare. This chapter is intended to provide a simple overview of the way new researchers and health practitioners can understand and employ quantitative methods. The chapter offers practical, realistic guidance in a learner-friendly way and uses a logical sequence to understand the process of hypothesis development, study design, data collection and handling, and finally data analysis and interpretation.
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Leigh A. Wilson
Faculty of Health Science, Discipline of Behavioural and Social Sciences in Health, University of Sydney, Lidcombe, NSW, Australia
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Wilson, L.A. (2019). Quantitative Research. In: Liamputtong, P. (eds) Handbook of Research Methods in Health Social Sciences. Springer, Singapore. https://doi.org/10.1007/978-981-10-5251-4_54
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quantitative (numbers) and qualitative (words or images) data. The combination of. quantitative and qualitative research methods is called mixed methods. For example, first, numerical data are ...
Mixed-methods research is a flexible approach, where the research design is determined by what we want to find out rather than by any predetermined epistemological position. In mixed-methods research, qualitative or quantitative components can predominate, or both can have equal status. 1.4. Units and variables.
the book. Data analysis is an integral component of research methods, and it's important that any proposal for quantita - tive research include a plan for the data analysis that will follow data collection. 22Introducing Statistics Statistics play a key role in achieving valid research results in terms of measure -
Characteristics of Quantitative Research. Quantitative research. relies on the collection and analysis of numerical data to . describe, explain, predict, or control variables and phenomena of interest (Gay, Mills, & Airasian, 2009). One of the underlying tenets of quantitative research is a philosophical
The quantitative research process This guide focuses on descriptive statistics and statistical testing as these are the common forms of quantitative data analysis required at the university and research level. It is assumed that data is being analysed in the context of a research project involving the following stages:
process of research. The main task of data analysis in quantitative research is to assess whether the empirical evidence supports or refutes the theoretical arguments of the project. However, the biggest mistake in quantitative research is to think that data analysis decisions can wait until after the data have been collected.
Controlled collection and analysis of information in order to understand a phenomenon. Originates with a question, a problem, a puzzling fact. Requires both theory and data. Previous theory helps us form an understanding of the data we see (no blank slate). Data lets us tests our hypotheses.
1. Unit of Analysis (also referred to as cases): The most elementary part of what is being studied or observed. Some examples include individuals, households, court cases, countries, states, rms, industries, etc. 2. Variables: Concepts, characteristics, or properties that can vary, or change, from one unit of analysis to another. Please note that
Quantitative data analysis serves as part of an essential process of evidence-making in health and social sciences. It is adopted for any types of research question and design whether it is descriptive, explanatory, or causal. However, compared with qualitative counterpart, quantitative data analysis has less exi-. fl.
Definition. Quantitative method is the collection and analysis of numerical data to answer scientific research questions. Quantitative method is used to summarize, average, find patterns, make predictions, and test causal associations as well as generalizing results to wider populations.
Quantitative research is 'Explaining phenomena by collecting numeri-cal data that are analysed using mathematically based methods (in particular statistics).'. Let's go through this definition step by step. The first element is explain-ing phenomena. This is a key element of all research, be it quantitative or qualitative.
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Quantitative research methods are concerned with the planning, design, and implementation of strategies to collect and analyze data. Descartes, the seventeenth-century philosopher, suggested that how the results are achieved is often more important than the results themselves, as the journey taken along the research path is a journey of discovery. . High-quality quantitative research is ...
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The analysis and interpretation of data is carried out in two phases. The. first part, which is based on the results of the questionnaire, deals with a quantitative. analysis of data. The second, which is based on the results of the interview and focus group. discussions, is a qualitative interpretation.
Revised on June 22, 2023. Quantitative research is the process of collecting and analyzing numerical data. It can be used to find patterns and averages, make predictions, test causal relationships, and generalize results to wider populations. Quantitative research is the opposite of qualitative research, which involves collecting and analyzing ...
For New York, the poverty rate is 14% so the model predicts a homicide rate of (0.59 + (0.36*14)) = 5.63. Remember, these are predictions from the model. The predictions usually won't be exactly right. For example, the actual difference between the homicide rate for Vermont is 2.3 − 4.15 = −1.85.
5. Analyzing and Interpreting Findings. OVERVIEW. Qualitative research begins with questions, and its ultimate purpose is learning. To inform the questions, the researcher collects data. Data are like building blocks that, when grouped into patterns, become information, which in turn, when applied or used, becomes.
Analysis of Climate Change Impacts on Food Security in Somalia. This study uses a combination of qualitative and quantitative research methods to explore the impact of climate change on food security in Somalia. Data were collected through questionnaires and interviews with a sample size of 80, consisting of farmers, agricultural teachers ...
In recent times, biochars have been synthesized for multiple applications, yet the global biochar industry lacks a standardized quantitative framework for assessing quality, particularly for the abatement of emerging contaminants from aqueous environments via adsorption. The present study establishes a first of its kind effort to construct a Biochar Quality Index (BCQI) using five distinct ...