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dissertation

Definition of dissertation

Examples of dissertation in a sentence.

These examples are programmatically compiled from various online sources to illustrate current usage of the word 'dissertation.' Any opinions expressed in the examples do not represent those of Merriam-Webster or its editors. Send us feedback about these examples.

Word History

1651, in the meaning defined above

Dictionary Entries Near dissertation

dissertative

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“Dissertation.” Merriam-Webster.com Dictionary , Merriam-Webster, https://www.merriam-webster.com/dictionary/dissertation. Accessed 21 Jun. 2024.

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EdDPrograms.org

What is an Ed.D. Dissertation? Complete Guide & Support Resources

Wondering how to tackle the biggest doctoral challenge of all? Use our guide to the Ed.D. dissertation to get started! Learn about the purpose of a Doctor of Education dissertation and typical topics for education students. Read through step-by-step descriptions of the dissertation process and the 5-chapter format. Get answers to Ed.D. dissertation FAQs . Or skip to the chase and find real-world examples of Doctor of Education dissertations and websites & resources for Ed.D. dissertation research.

What is an Ed.D. Dissertation?

Definition of an ed.d. dissertation.

An Ed.D. dissertation is a 5-chapter scholarly document that brings together years of original research to address a problem of practice in education. To complete a dissertation, you will need to go through a number of scholarly steps , including a final defense to justify your findings.

Purpose of an Ed.D. Dissertation

In a Doctor of Education dissertation, you will be challenged to apply high-level research & creative problem-solving to real-world educational challenges. You may be asked to:

• Take a critical look at current educational & administrative practices
• Address urgent issues in the modern education system
• Propose original & practical solutions for improvements
• Expand the knowledge base for educational practitioners

Topics of Ed.D. Dissertations

An Ed.D. dissertation is “customizable.” You’re allowed to chose a topic that relates to your choice of specialty (e.g. elementary education), field of interest (e.g. curriculum development), and environment (e.g. urban schools).

Think about current problems of practice that need to be addressed in your field. You’ll notice that Ed.D. dissertation topics often address one of the following:

• Academic performance
• Teaching methods
• Access to resources
• Social challenges
• Legislative impacts
• System effectiveness

Wondering how others have done it? Browse through Examples of Ed.D. Dissertations and read the titles & abstracts. You’ll see how current educators are addressing their own problems of practice.

Ed.D. Dissertation Process

1. propose a dissertation topic.

Near the beginning of a Doctor of Education program, you’ll be expected to identify a dissertation topic that will require substantial research. This topic should revolve around a unique issue in education.

Universities will often ask you to provide an idea for your topic when you’re applying to the doctoral program. You don’t necessarily need to stick to this idea, but you should be prepared to explain why it interests you. If you need inspiration, see our section on Examples of Ed.D. Dissertations .

You’ll be expected to solidify your dissertation topic in the first few semesters. Talking to faculty and fellow Ed.D. students can help in this process. Better yet, your educational peers will often be able to provide unique perspectives on the topic (e.g. cultural differences in teaching methods).

2. Meet Your Dissertation Chair & Committee

You won’t be going through the Ed.D. dissertation process alone! Universities will help you to select a number of experienced mentors. These include:

• Dissertation Chair/Faculty Advisor: The Chair of the Dissertation Committee acts as your primary advisor. You’ll often see them referred to as the Supervising Professor, Faculty Advisor, or the like. You’ll rely on this “Obi Wan” for their knowledge of the field, research advice & guidance, editorial input on drafts, and more. They can also assist with shaping & refining your dissertation topic.
• Dissertation Committee:  The Dissertation Committee is made up of ~3 faculty members, instructors and/or adjuncts with advanced expertise in your field of study. The Committee will offer advice, provide feedback on your research progress, and review your work & progress reports. When you defend your proposal and give your final defense , you’ll be addressing the Dissertation Committee.

3. Study for Ed.D. Courses

Doctor of Education coursework is designed to help you: a) learn how to conduct original research; and b) give you a broader perspective on your field of interest. If you take a look at the curriculum in any Ed.D. program, you’ll see that students have to complete credits in:

• Practical Research Methods (e.g. Quantitative Design & Analysis for Educational Leaders)
• Real-World Educational Issues (e.g. Educational Policy, Law & Practice)

When you’re evaluating possible Ed.D. programs, pay attention to the coursework in real-world educational issues. You’ll want to pick an education doctorate with courses that complement your dissertation topic.

4. Complete a Literature Review

A literature review is an evaluation of existing materials & research work that relate to your dissertation topic. It’s a written synthesis that:

• Grounds your project within the field
• Explains how your work relates to previous research & theoretical frameworks
• Helps to identify gaps in the existing research

Have a look at Literature Review Guides if you’d like to know more about the process. Our section on Resources for Ed.D. Dissertation Research also has useful links to journals & databases.

5. Craft a Dissertation Proposal

During the first two years of your Doctor of Education, you’ll use the knowledge you’ve learned from your coursework & discussions to write the opening chapters of your dissertation, including an:

• Introduction  that defines your chosen topic
• Literature Review of existing research in the field
• Proposed Research Methodology for finding the answer to your problem

When you’re putting together these elements, think about the practicals. Is the topic too big to address in one dissertation? How much time will your research take and how will you conduct it? Will your dissertation be relevant to your current job? If in doubt, ask your faculty advisor.

6. Defend Your Dissertation Proposal

About midway through the Ed.D. program, you will need to present your proposal to your Dissertation Committee. They will review your work and offer feedback. For example, the Committee will want to see that:

• Your research topic is significant.
• Your research methodology & timeline make sense.
• Relevant works are included in the literature review.

After the Committee approves your proposal, you can get stuck into conducting original research and writing up your findings. These two important tasks will take up the final years of your doctorate.

7. Conduct Original Research into Your Topic

As a Doctor of Education student, you will be expected to conduct your own research. Ed.D. students often use a qualitative, quantitative, or mixed methods (quantitative/qualitative) approach in this process.

• Quantitative Research: Collection & analysis of numerical data to identify characteristics, discover correlations, and/or test hypotheses.
• Qualitative Research: Collection & analysis of non-numerical data to understand & explain phenomena (e.g. questionnaires, in-depth interviews, focus groups, video artifacts, etc.).

Your Ed.D. coursework will ground you in research methods & tools, so you’ll be prepared to design your own project and seek IRB approval for any work involving human subjects.

Note: Occasionally, universities can get creative. For example, the Ed.D. program at San Jose State University asks students to produce a documentary film instead of conducting traditional research.

8. Write the Rest of Your Dissertation

Once you have written up the first few chapters of your dissertation (Intro, Literature Review & Proposed Methodology) and completed your research work, you’ll be able to complete the final chapters of your dissertation.

• Chapter 4 will detail your research findings.
• Chapter 5 is a conclusion that summarizes solutions to your problem of practice/topic.

This is where you and your faculty advisor will often have a lot of interaction! For example, you may need to rework the first few chapters of your dissertation after you’ve drafted the final chapters. Faculty advisors are extremely busy people, so be sure to budget in ample time for revisions and final edits.

9. Defend Your Dissertation

The final defense/candidacy exam is a formal presentation of your work to the Dissertation Committee. In many cases, the defense is an oral presentation with visual aides. You’ll be able to explain your research findings, go through your conclusions, and highlight new ideas & solutions.

At any time, the Committee can challenge you with questions, so you should be prepared to defend your conclusions. But this process is not as frightening as it sounds!

• If you’ve been in close contact with the Committee throughout the dissertation, they will be aware of your work.
• Your faculty advisor will help you decide when you’re ready for the final defense.
• You can also attend the defenses of other Ed.D. students to learn what questions may be asked.

Be aware that the Committee has the option to ask for changes before they approve your dissertation. After you have incorporated any notes from the Committee and addressed their concerns, you will finalize the draft, submit your dissertation for a formal review, and graduate.

Ed.D. Dissertation Format: 5 Chapters

Chapter 1: introduction.

Your Doctor of Education dissertation will begin with an introduction. In it, you’ll be expected to:

• Provide an overview of your educational landscape
• Explain important definitions & key concepts
• Define a real-world topic/problem of practice
• Outline the need for new studies on this topic

Chapter 2: Literature Review

The literature review is a summary of existing research in the field. However, it is not an annotated bibliography. Instead, it’s a critical analysis of current research (e.g. trends, themes, debates & current practices). While you’re evaluating the literature, you’re also looking for the gaps where you can conduct original research.

Sources for a literature review can include books, articles, reports, websites, dissertations, and more. Our section on Resources for Ed.D. Dissertation Research has plenty of places to start.

Chapter 3: Research Methodology

In the research methodology, you’ll be expected to explain:

• The purpose of your research
• What tools & methods you plan to use to research your topic/problem of practice
• The design of the study
• Your timeline for gathering quantitative & qualitative data
• How you plan to analyze that data
• Any limitations you foresee

Chapter 4: Results & Analysis

Chapter 4 is the place where you can share the results of your original research and present key findings from the data. In your analysis, you may also be highlighting new patterns, relationships, and themes that other scholars have failed to discover. Have a look at real-life Examples of Ed.D. Dissertations to see how this section is structured.

Chapter 5: Discussions & Conclusions

The final chapter of your Ed.D. dissertation brings all of your work together in a detailed summary. You’ll be expected to:

• Reiterate the objectives of your dissertation
• Explain the significance of your research findings
• Outline the implications of your ideas on existing practices
• Propose solutions for a problem of practice
• Make suggestions & recommendations for future improvements

Ed.D. Dissertation FAQs

What’s the difference between a dissertation and a thesis.

• Dissertation: A dissertation is a 5-chapter written work that must be completed in order to earn a doctoral degree (e.g. Ph.D., Ed.D., etc.). It’s often focused on original research.
• Thesis: A thesis is a written work that must be completed in order to earn a master’s degree. It’s typically shorter than a dissertation and based on existing research.

How Long is a Ed.D. Dissertation?

It depends. Most Ed.D. dissertations end up being between 80-200 pages. The length will depend on a number of factors, including the depth of your literature review, the way you collect & present your research data, and any appendices you might need to include.

How Long Does it Take to Finish an Ed.D. Dissertation?

It depends. If you’re in an accelerated program , you may be able to finish your dissertation in 2-3 years. If you’re in a part-time program and need to conduct a lot of complex research work, your timeline will be much longer.

What’s a Strong Ed.D. Dissertation Topic?

Experts always say that Doctor of Education students should be passionate about their dissertation topic and eager to explore uncharted territory. When you’re crafting your Ed.D. dissertation topic , find one that will be:

• Significant

See the section on Examples of Ed.D. Dissertations for inspiration.

Do I Have to Complete a Traditional Dissertation for an Ed.D.?

No. If you’re struggling with the idea of a traditional dissertation, check out this guide to Online Ed.D. Programs with No Dissertation . Some Schools of Education give Ed.D. students the opportunity to complete a Capstone Project or Dissertation in Practice (DiP) instead of a 5-chapter written work.

These alternatives aren’t easy! You’ll still be challenged at the same level as you would be for a dissertation. However, Capstone Projects & DiPs often involve more group work and an emphasis on applied theory & research.

What’s the Difference Between a Ph.D. Dissertation and Ed.D. Dissertation?

Have a look at our Ed.D. vs. Ph.D. Guide to get a sense of the differences between the two degrees. In a nutshell:

• Ed.D. dissertations tend to focus on addressing current & real-world topics/problems of practice in the workplace.
• Ph.D. dissertations usually put more emphasis on creating new theories & concepts and even completely rethinking educational practices.

How Can I Learn More About Ed.D. Dissertations?

Start with the section on Examples of Ed.D. Dissertations . You can browse through titles, abstracts, and even complete dissertations from a large number of universities.

If you have a few Doctor of Education programs on your shortlist, we also recommend that you skim through the program’s Dissertation Handbook . It can usually be found on the School of Education’s website. You’ll be able to see how the School likes to structure the dissertation process from start to finish.

Ed.D. Dissertation Support

University & campus resources, dissertation chair & committee.

The first port of call for any questions about the Ed.D. dissertation is your Dissertation Chair. If you get stuck with a terrible faculty advisor, talk to members of the Dissertation Committee. They are there to support your journey.

University Library

An Ed.D. dissertation is a massive research project. So before you choose a Doctor of Education program, ask the School of Education about its libraries & library resources (e.g. free online access to subscription-based journals).

Writing Center

Many universities have a Writing Center. If you’re struggling with any elements of your dissertation (e.g. editing), you can ask the staff about:

• Individual tutoring
• Editorial assistance
• Outside resources

Mental Health Support

It’s well-known that doctoral students often face a lot of stress & isolation during their studies. Ask your faculty advisor about mental health services at the university. Staff in the School of Education and the Graduate School will also have information about on-campus counselors, free or discounted therapy sessions, and more.

Independent Dissertation Services

Dissertation editing services: potentially helpful.

There are scores of independent providers who offer dissertation editing services. But they can be expensive. And many of these editors have zero expertise in educational fields.

If you need help with editing & proofreading, proceed with caution:

• Start by asking your Dissertation Chair about what’s permitted for third party involvement (e.g. you may need to note any editor’s contribution in your dissertation acknowledgments) and whether they have any suggestions.
• The Graduate School is another useful resource. For example, Cornell’s Graduate School maintains a list of Editing, Typing, and Proofreading Services for graduate students.

Dissertation Coaches: Not Worth It

Dissertation coaches are defined as people who offer academic & mental support, guidance, and editorial input.

• That means the person who should be your coach is your Dissertation Chair/Faculty Advisor. Remember that faculty members on the Dissertation Committee can also provide assistance.
• If you’re looking for extra support, you might consider consulting a mentor in your line of work and collaborating with fellow Ed.D. students.

But hiring an independent Ed.D. dissertation coach is going to be an absolute waste of money.

Dissertation Writing Services: Just Don’t!

Universities take the dissertation process  very seriously . An Ed.D. dissertation is supposed to be the culmination of years of original thought and research. You’re going to be responsible for the final product. You’re going to be defending your written work in front of a phalanx of experienced faculty members. You’re going to be putting this credential on your résumé for everyone to see.

If you cheat the process by having someone else write up your work, you will get caught.

Ed.D. Dissertation Resources

Examples of ed.d. dissertations, dissertation databases.

• Open Access Theses and Dissertations
• ProQuest Dissertations & Theses
• EBSCO Open Dissertations

Ed.D. Dissertations

• USF Scholarship Repository: Ed.D. Dissertations
• George Fox University: Doctor of Education
• UW Tacoma: Ed.D. Dissertations in Practice
• Liberty University: School of Education Doctoral Dissertations
• University of Mary Hardin-Baylor: Dissertation Collection

Ed.D. Dissertation Abstracts

• Michigan State University: Ed.D. Dissertation Abstracts

Ed.D. Dissertation Guides & Tools

General ed.d. guides.

• SNHU: Educational Leadership Ed.D./Ph.D. Guide

Dissertation Style Manuals

• Chicago Manual of Style

Style manuals are designed to ensure that every Ed.D. student follows the same set of writing guidelines for their dissertation (e.g. grammatical rules, footnote & quotation formats, abbreviation conventions, etc.). Check with the School of Education to learn which style manual they use.

Examples of Ed.D. Dissertation Templates

• Purdue University: Dissertation Template
• Walden University: Ed.D. Dissertation Template

Each School of Education has a standard dissertation template. We’ve highlighted a couple of examples so you can see how they’re formatted, but you will need to acquire the template from your own university.

Literature Review Guides

• UNC Chapel Hill: Writing Guide for Literature Reviews
• University of Alabama: How to Conduct a Literature Review

Resources for Ed.D. Dissertation Research

Journal articles.

• EBSCO Education Research Databases
• Education Resources Information Center (ERIC)
• Emerald Education eJournal Collection
• Gale OneFile: Educator’s Reference Complete
• Google Scholar
• NCES Bibliography Search Tool
• ProQuest Education Database
• SAGE Journals: Education

Useful Websites

• Harvard Gutman Library: Websites for Educators
• EduRef: Lesson Plans

Educational Data & Statistics

• Digest of Education Statistics
• Education Policy Data Center (EPDC)
• ICPSR Data Archive
• National Assessment of Educational Progress
• National Center for Education Statistics (NCES)
• UNESCO Institute for Statistics

• Privacy Policy

Home » Dissertation Methodology – Structure, Example and Writing Guide

Dissertation Methodology – Structure, Example and Writing Guide

• Table of Contents

Dissertation Methodology

In any research, the methodology chapter is one of the key components of your dissertation. It provides a detailed description of the methods you used to conduct your research and helps readers understand how you obtained your data and how you plan to analyze it. This section is crucial for replicating the study and validating its results.

Here are the basic elements that are typically included in a dissertation methodology:

• Introduction : This section should explain the importance and goals of your research .
• Research Design : Outline your research approach and why it’s appropriate for your study. You might be conducting an experimental research, a qualitative research, a quantitative research, or a mixed-methods research.
• Data Collection : This section should detail the methods you used to collect your data. Did you use surveys, interviews, observations, etc.? Why did you choose these methods? You should also include who your participants were, how you recruited them, and any ethical considerations.
• Data Analysis : Explain how you intend to analyze the data you collected. This could include statistical analysis, thematic analysis, content analysis, etc., depending on the nature of your study.
• Reliability and Validity : Discuss how you’ve ensured the reliability and validity of your study. For instance, you could discuss measures taken to reduce bias, how you ensured that your measures accurately capture what they were intended to, or how you will handle any limitations in your study.
• Ethical Considerations : This is where you state how you have considered ethical issues related to your research, how you have protected the participants’ rights, and how you have complied with the relevant ethical guidelines.
• Limitations : Acknowledge any limitations of your methodology, including any biases and constraints that might have affected your study.
• Summary : Recap the key points of your methodology chapter, highlighting the overall approach and rationalization of your research.

Types of Dissertation Methodology

The type of methodology you choose for your dissertation will depend on the nature of your research question and the field you’re working in. Here are some of the most common types of methodologies used in dissertations:

Experimental Research

This involves creating an experiment that will test your hypothesis. You’ll need to design an experiment, manipulate variables, collect data, and analyze that data to draw conclusions. This is commonly used in fields like psychology, biology, and physics.

Survey Research

This type of research involves gathering data from a large number of participants using tools like questionnaires or surveys. It can be used to collect a large amount of data and is often used in fields like sociology, marketing, and public health.

Qualitative Research

This type of research is used to explore complex phenomena that can’t be easily quantified. Methods include interviews, focus groups, and observations. This methodology is common in fields like anthropology, sociology, and education.

Quantitative Research

Quantitative research uses numerical data to answer research questions. This can include statistical, mathematical, or computational techniques. It’s common in fields like economics, psychology, and health sciences.

Case Study Research

This type of research involves in-depth investigation of a particular case, such as an individual, group, or event. This methodology is often used in psychology, social sciences, and business.

Mixed Methods Research

This combines qualitative and quantitative research methods in a single study. It’s used to answer more complex research questions and is becoming more popular in fields like social sciences, health sciences, and education.

Action Research

This type of research involves taking action and then reflecting upon the results. This cycle of action-reflection-action continues throughout the study. It’s often used in fields like education and organizational development.

Longitudinal Research

This type of research involves studying the same group of individuals over an extended period of time. This could involve surveys, observations, or experiments. It’s common in fields like psychology, sociology, and medicine.

Ethnographic Research

This type of research involves the in-depth study of people and cultures. Researchers immerse themselves in the culture they’re studying to collect data. This is often used in fields like anthropology and social sciences.

Structure of Dissertation Methodology

The structure of a dissertation methodology can vary depending on your field of study, the nature of your research, and the guidelines of your institution. However, a standard structure typically includes the following elements:

• Introduction : Briefly introduce your overall approach to the research. Explain what you plan to explore and why it’s important.
• Research Design/Approach : Describe your overall research design. This can be qualitative, quantitative, or mixed methods. Explain the rationale behind your chosen design and why it is suitable for your research questions or hypotheses.
• Data Collection Methods : Detail the methods you used to collect your data. You should include what type of data you collected, how you collected it, and why you chose this method. If relevant, you can also include information about your sample population, such as how many people participated, how they were chosen, and any relevant demographic information.
• Data Analysis Methods : Explain how you plan to analyze your collected data. This will depend on the nature of your data. For example, if you collected quantitative data, you might discuss statistical analysis techniques. If you collected qualitative data, you might discuss coding strategies, thematic analysis, or narrative analysis.
• Reliability and Validity : Discuss how you’ve ensured the reliability and validity of your research. This might include steps you took to reduce bias or increase the accuracy of your measurements.
• Ethical Considerations : If relevant, discuss any ethical issues associated with your research. This might include how you obtained informed consent from participants, how you ensured participants’ privacy and confidentiality, or any potential conflicts of interest.
• Limitations : Acknowledge any limitations in your research methodology. This could include potential sources of bias, difficulties with data collection, or limitations in your analysis methods.
• Summary/Conclusion : Briefly summarize the key points of your methodology, emphasizing how it helps answer your research questions or hypotheses.

How to Write Dissertation Methodology

Writing a dissertation methodology requires you to be clear and precise about the way you’ve carried out your research. It’s an opportunity to convince your readers of the appropriateness and reliability of your approach to your research question. Here is a basic guideline on how to write your methodology section:

1. Introduction

Start your methodology section by restating your research question(s) or objective(s). This ensures your methodology directly ties into the aim of your research.

2. Approach

Identify your overall approach: qualitative, quantitative, or mixed methods. Explain why you have chosen this approach.

• Qualitative methods are typically used for exploratory research and involve collecting non-numerical data. This might involve interviews, observations, or analysis of texts.
• Quantitative methods are used for research that relies on numerical data. This might involve surveys, experiments, or statistical analysis.
• Mixed methods use a combination of both qualitative and quantitative research methods.

3. Research Design

Describe the overall design of your research. This could involve explaining the type of study (e.g., case study, ethnography, experimental research, etc.), how you’ve defined and measured your variables, and any control measures you’ve implemented.

4. Data Collection

Explain in detail how you collected your data.

• If you’ve used qualitative methods, you might detail how you selected participants for interviews or focus groups, how you conducted observations, or how you analyzed existing texts.
• If you’ve used quantitative methods, you might detail how you designed your survey or experiment, how you collected responses, and how you ensured your data is reliable and valid.

5. Data Analysis

Describe how you analyzed your data.

• If you’re doing qualitative research, this might involve thematic analysis, discourse analysis, or grounded theory.
• If you’re doing quantitative research, you might be conducting statistical tests, regression analysis, or factor analysis.

Discuss any ethical issues related to your research. This might involve explaining how you obtained informed consent, how you’re protecting participants’ privacy, or how you’re managing any potential harms to participants.

7. Reliability and Validity

Discuss the steps you’ve taken to ensure the reliability and validity of your data.

• Reliability refers to the consistency of your measurements, and you might discuss how you’ve piloted your instruments or used standardized measures.
• Validity refers to the accuracy of your measurements, and you might discuss how you’ve ensured your measures reflect the concepts they’re supposed to measure.

8. Limitations

Every study has its limitations. Discuss the potential weaknesses of your chosen methods and explain any obstacles you faced in your research.

9. Conclusion

Summarize the key points of your methodology, emphasizing how it helps to address your research question or objective.

Example of Dissertation Methodology

An Example of Dissertation Methodology is as follows:

Chapter 3: Methodology

• Introduction

This chapter details the methodology adopted in this research. The study aimed to explore the relationship between stress and productivity in the workplace. A mixed-methods research design was used to collect and analyze data.

Research Design

This study adopted a mixed-methods approach, combining quantitative surveys with qualitative interviews to provide a comprehensive understanding of the research problem. The rationale for this approach is that while quantitative data can provide a broad overview of the relationships between variables, qualitative data can provide deeper insights into the nuances of these relationships.

Data Collection Methods

Quantitative Data Collection : An online self-report questionnaire was used to collect data from participants. The questionnaire consisted of two standardized scales: the Perceived Stress Scale (PSS) to measure stress levels and the Individual Work Productivity Questionnaire (IWPQ) to measure productivity. The sample consisted of 200 office workers randomly selected from various companies in the city.

Qualitative Data Collection : Semi-structured interviews were conducted with 20 participants chosen from the initial sample. The interview guide included questions about participants’ experiences with stress and how they perceived its impact on their productivity.

Data Analysis Methods

Quantitative Data Analysis : Descriptive and inferential statistics were used to analyze the survey data. Pearson’s correlation was used to examine the relationship between stress and productivity.

Qualitative Data Analysis : Interviews were transcribed and subjected to thematic analysis using NVivo software. This process allowed for identifying and analyzing patterns and themes regarding the impact of stress on productivity.

Reliability and Validity

To ensure reliability and validity, standardized measures with good psychometric properties were used. In qualitative data analysis, triangulation was employed by having two researchers independently analyze the data and then compare findings.

Ethical Considerations

All participants provided informed consent prior to their involvement in the study. They were informed about the purpose of the study, their rights as participants, and the confidentiality of their responses.

Limitations

The main limitation of this study is its reliance on self-report measures, which can be subject to biases such as social desirability bias. Moreover, the sample was drawn from a single city, which may limit the generalizability of the findings.

Where to Write Dissertation Methodology

In a dissertation or thesis, the Methodology section usually follows the Literature Review. This placement allows the Methodology to build upon the theoretical framework and existing research outlined in the Literature Review, and precedes the Results or Findings section. Here’s a basic outline of how most dissertations are structured:

• Acknowledgements
• Literature Review (or it may be interspersed throughout the dissertation)
• Methodology
• Results/Findings
• References/Bibliography

In the Methodology chapter, you will discuss the research design, data collection methods, data analysis methods, and any ethical considerations pertaining to your study. This allows your readers to understand how your research was conducted and how you arrived at your results.

Advantages of Dissertation Methodology

The dissertation methodology section plays an important role in a dissertation for several reasons. Here are some of the advantages of having a well-crafted methodology section in your dissertation:

• Clarifies Your Research Approach : The methodology section explains how you plan to tackle your research question, providing a clear plan for data collection and analysis.
• Enables Replication : A detailed methodology allows other researchers to replicate your study. Replication is an important aspect of scientific research because it provides validation of the study’s results.
• Demonstrates Rigor : A well-written methodology shows that you’ve thought critically about your research methods and have chosen the most appropriate ones for your research question. This adds credibility to your study.
• Enhances Transparency : Detailing your methods allows readers to understand the steps you took in your research. This increases the transparency of your study and allows readers to evaluate potential biases or limitations.
• Helps in Addressing Research Limitations : In your methodology section, you can acknowledge and explain the limitations of your research. This is important as it shows you understand that no research method is perfect and there are always potential weaknesses.
• Facilitates Peer Review : A detailed methodology helps peer reviewers assess the soundness of your research design. This is an important part of the publication process if you aim to publish your dissertation in a peer-reviewed journal.
• Establishes the Validity and Reliability : Your methodology section should also include a discussion of the steps you took to ensure the validity and reliability of your measurements, which is crucial for establishing the overall quality of your research.

About the author

Muhammad Hassan

Researcher, Academic Writer, Web developer

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• Knowledge Base
• Dissertation
• What Is a Thesis? | Ultimate Guide & Examples

What Is a Thesis? | Ultimate Guide & Examples

Published on September 14, 2022 by Tegan George . Revised on April 16, 2024.

A thesis is a type of research paper based on your original research. It is usually submitted as the final step of a master’s program or a capstone to a bachelor’s degree.

Writing a thesis can be a daunting experience. Other than a dissertation , it is one of the longest pieces of writing students typically complete. It relies on your ability to conduct research from start to finish: choosing a relevant topic , crafting a proposal , designing your research , collecting data , developing a robust analysis, drawing strong conclusions , and writing concisely .

Thesis template

You can also download our full thesis template in the format of your choice below. Our template includes a ready-made table of contents , as well as guidance for what each chapter should include. It’s easy to make it your own, and can help you get started.

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Table of contents

Thesis vs. thesis statement, how to structure a thesis, acknowledgements or preface, list of figures and tables, list of abbreviations, introduction, literature review, methodology, reference list, proofreading and editing, defending your thesis, other interesting articles, frequently asked questions about theses.

You may have heard the word thesis as a standalone term or as a component of academic writing called a thesis statement . Keep in mind that these are two very different things.

• A thesis statement is a very common component of an essay, particularly in the humanities. It usually comprises 1 or 2 sentences in the introduction of your essay , and should clearly and concisely summarize the central points of your academic essay .
• A thesis is a long-form piece of academic writing, often taking more than a full semester to complete. It is generally a degree requirement for Master’s programs, and is also sometimes required to complete a bachelor’s degree in liberal arts colleges.
• In the US, a dissertation is generally written as a final step toward obtaining a PhD.
• In other countries (particularly the UK), a dissertation is generally written at the bachelor’s or master’s level.

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The final structure of your thesis depends on a variety of components, such as:

• Your discipline
• Your theoretical approach

Humanities theses are often structured more like a longer-form essay . Just like in an essay, you build an argument to support a central thesis.

In both hard and social sciences, theses typically include an introduction , literature review , methodology section ,  results section , discussion section , and conclusion section . These are each presented in their own dedicated section or chapter. In some cases, you might want to add an appendix .

Thesis examples

We’ve compiled a short list of thesis examples to help you get started.

• Example thesis #1:   “Abolition, Africans, and Abstraction: the Influence of the ‘Noble Savage’ on British and French Antislavery Thought, 1787-1807” by Suchait Kahlon.
• Example thesis #2: “’A Starving Man Helping Another Starving Man’: UNRRA, India, and the Genesis of Global Relief, 1943-1947″ by Julian Saint Reiman.

The very first page of your thesis contains all necessary identifying information, including:

• Your full title
• Your full name
• Your department
• Your institution and degree program
• Your submission date.

Sometimes the title page also includes your student ID, the name of your supervisor, or the university’s logo. Check out your university’s guidelines if you’re not sure.

Read more about title pages

The acknowledgements section is usually optional. Its main point is to allow you to thank everyone who helped you in your thesis journey, such as supervisors, friends, or family. You can also choose to write a preface , but it’s typically one or the other, not both.

Read more about acknowledgements Read more about prefaces

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An abstract is a short summary of your thesis. Usually a maximum of 300 words long, it’s should include brief descriptions of your research objectives , methods, results, and conclusions. Though it may seem short, it introduces your work to your audience, serving as a first impression of your thesis.

Read more about abstracts

A table of contents lists all of your sections, plus their corresponding page numbers and subheadings if you have them. This helps your reader seamlessly navigate your document.

Your table of contents should include all the major parts of your thesis. In particular, don’t forget the the appendices. If you used heading styles, it’s easy to generate an automatic table Microsoft Word.

Read more about tables of contents

While not mandatory, if you used a lot of tables and/or figures, it’s nice to include a list of them to help guide your reader. It’s also easy to generate one of these in Word: just use the “Insert Caption” feature.

Read more about lists of figures and tables

If you have used a lot of industry- or field-specific abbreviations in your thesis, you should include them in an alphabetized list of abbreviations . This way, your readers can easily look up any meanings they aren’t familiar with.

Read more about lists of abbreviations

Relatedly, if you find yourself using a lot of very specialized or field-specific terms that may not be familiar to your reader, consider including a glossary . Alphabetize the terms you want to include with a brief definition.

Read more about glossaries

An introduction sets up the topic, purpose, and relevance of your thesis, as well as expectations for your reader. This should:

• Ground your research topic , sharing any background information your reader may need
• Define the scope of your work
• Introduce any existing research on your topic, situating your work within a broader problem or debate
• State your research question(s)
• Outline (briefly) how the remainder of your work will proceed

In other words, your introduction should clearly and concisely show your reader the “what, why, and how” of your research.

Read more about introductions

A literature review helps you gain a robust understanding of any extant academic work on your topic, encompassing:

• Selecting relevant sources
• Determining the credibility of your sources
• Critically evaluating each of your sources
• Drawing connections between sources, including any themes, patterns, conflicts, or gaps

A literature review is not merely a summary of existing work. Rather, your literature review should ultimately lead to a clear justification for your own research, perhaps via:

• Addressing a gap in the literature
• Building on existing knowledge to draw new conclusions
• Exploring a new theoretical or methodological approach
• Introducing a new solution to an unresolved problem
• Definitively advocating for one side of a theoretical debate

Read more about literature reviews

Theoretical framework

Your literature review can often form the basis for your theoretical framework, but these are not the same thing. A theoretical framework defines and analyzes the concepts and theories that your research hinges on.

Read more about theoretical frameworks

Your methodology chapter shows your reader how you conducted your research. It should be written clearly and methodically, easily allowing your reader to critically assess the credibility of your argument. Furthermore, your methods section should convince your reader that your method was the best way to answer your research question.

A methodology section should generally include:

• Your overall approach ( quantitative vs. qualitative )
• Your research methods (e.g., a longitudinal study )
• Your data collection methods (e.g., interviews or a controlled experiment
• Any tools or materials you used (e.g., computer software)
• The data analysis methods you chose (e.g., statistical analysis , discourse analysis )
• A strong, but not defensive justification of your methods

Read more about methodology sections

Your results section should highlight what your methodology discovered. These two sections work in tandem, but shouldn’t repeat each other. While your results section can include hypotheses or themes, don’t include any speculation or new arguments here.

Your results section should:

• State each (relevant) result with any (relevant) descriptive statistics (e.g., mean , standard deviation ) and inferential statistics (e.g., test statistics , p values )
• Explain how each result relates to the research question
• Determine whether the hypothesis was supported

Additional data (like raw numbers or interview transcripts ) can be included as an appendix . You can include tables and figures, but only if they help the reader better understand your results.

Read more about results sections

Your discussion section is where you can interpret your results in detail. Did they meet your expectations? How well do they fit within the framework that you built? You can refer back to any relevant source material to situate your results within your field, but leave most of that analysis in your literature review.

For any unexpected results, offer explanations or alternative interpretations of your data.

Read more about discussion sections

Your thesis conclusion should concisely answer your main research question. It should leave your reader with an ultra-clear understanding of your central argument, and emphasize what your research specifically has contributed to your field.

Why does your research matter? What recommendations for future research do you have? Lastly, wrap up your work with any concluding remarks.

Read more about conclusions

In order to avoid plagiarism , don’t forget to include a full reference list at the end of your thesis, citing the sources that you used. Choose one citation style and follow it consistently throughout your thesis, taking note of the formatting requirements of each style.

Which style you choose is often set by your department or your field, but common styles include MLA , Chicago , and APA.

Create APA citations Create MLA citations

In order to stay clear and concise, your thesis should include the most essential information needed to answer your research question. However, chances are you have many contributing documents, like interview transcripts or survey questions . These can be added as appendices , to save space in the main body.

Read more about appendices

Once you’re done writing, the next part of your editing process begins. Leave plenty of time for proofreading and editing prior to submission. Nothing looks worse than grammar mistakes or sloppy spelling errors!

Consider using a professional thesis editing service or grammar checker to make sure your final project is perfect.

Once you’ve submitted your final product, it’s common practice to have a thesis defense, an oral component of your finished work. This is scheduled by your advisor or committee, and usually entails a presentation and Q&A session.

After your defense , your committee will meet to determine if you deserve any departmental honors or accolades. However, keep in mind that defenses are usually just a formality. If there are any serious issues with your work, these should be resolved with your advisor way before a defense.

If you want to know more about AI for academic writing, AI tools, or research bias, make sure to check out some of our other articles with explanations and examples or go directly to our tools!

Research bias

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The conclusion of your thesis or dissertation shouldn’t take up more than 5–7% of your overall word count.

If you only used a few abbreviations in your thesis or dissertation , you don’t necessarily need to include a list of abbreviations .

If your abbreviations are numerous, or if you think they won’t be known to your audience, it’s never a bad idea to add one. They can also improve readability, minimizing confusion about abbreviations unfamiliar to your reader.

When you mention different chapters within your text, it’s considered best to use Roman numerals for most citation styles. However, the most important thing here is to remain consistent whenever using numbers in your dissertation .

A thesis or dissertation outline is one of the most critical first steps in your writing process. It helps you to lay out and organize your ideas and can provide you with a roadmap for deciding what kind of research you’d like to undertake.

Generally, an outline contains information on the different sections included in your thesis or dissertation , such as:

• Your anticipated title
• Your abstract
• Your chapters (sometimes subdivided into further topics like literature review , research methods , avenues for future research, etc.)

A thesis is typically written by students finishing up a bachelor’s or Master’s degree. Some educational institutions, particularly in the liberal arts, have mandatory theses, but they are often not mandatory to graduate from bachelor’s degrees. It is more common for a thesis to be a graduation requirement from a Master’s degree.

Even if not mandatory, you may want to consider writing a thesis if you:

• Plan to attend graduate school soon
• Have a particular topic you’d like to study more in-depth
• Are considering a career in research
• Would like a capstone experience to tie up your academic experience

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Mean, Mode and Median

Mean, mode and median are popular quantitative research methods used in business, as well as, engineering and computer sciences. In business studies these methods can be used in data comparisons such as comparing performances of two different businesses within the same period of time or comparing performance of the same business during different time periods.

Mean implies average and it is the sum of a set of data divided by the number of data. Mean can prove to be an effective tool when comparing different sets of data; however this method might be disadvantaged by the impact of extreme values.

Mode is the value that appears the most. A given set of data can contain more than one mode, or it can contain no mode at all. Extreme values have no impact on mode in data comparisons, however, the effectiveness of mode in data comparisons are compromised in the presence of more than one mode.

Median is the middle value when the data is arranged in numerical order. It is another effective tool to compare different sets of data, however, the negative impact of extreme values is lesser on median compared to mean.

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Meaning of dissertation in English

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• boilerplate
• composition
• corresponding author
• essay question
• peer review

dissertation | American Dictionary

Examples of dissertation, translations of dissertation.

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to become dry, smaller, and covered with lines as if by crushing or folding, or to make something do this

Fakes and forgeries (Things that are not what they seem to be)

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How to Write the Dissertation Aims and Objectives – Guide & Examples

Published by Grace Graffin at January 27th, 2023 , Revised On October 9, 2023

Aims and objectives are among the essential aspects of a dissertation. If you write aims and objectives effectively, they can act as a foundation to give your research clarity and focus.

This article will provide you with all the necessary information regarding aims and objectives, their differences, writing tips , and the common mistakes you should avoid while writing them.

The aim is often a single sentence or a short paragraph that describes your dissertation’s main goal and intent. It tells what you hope to achieve at the end. You should write the aim so that it becomes identifiable when it is achieved with the completion of your dissertation .

The aim is written in a subsection of the introduction to clarify the overall purpose of the dissertation .

Example: It is often observed that employees in culturally diverse workplaces struggle to work effectively in a team. A probable cause of this issue is bullying at the workplace. This research investigates the impact of bullying on employee job satisfaction at culturally diverse workplaces and the resulting loss of employee productivity. This research will use surveys and case study analysis to analyze the impact of bullying on employees.

The objectives in a dissertation describe the ways through which you intend to achieve the research aim. They are specific statements that break down the aim into several smaller key sections of the overall research. Suitable objectives can help you stay focused and conduct research in the direction of your aim.

The number of objectives should be realistic; usually, between three to six, and each one should be possible to achieve. The following example shows the objectives for the previously-mentioned dissertation aim.

1. identification of the behaviors that are considered as bullying 2. exploring the factors that cause bullying at a culturally diverse workplace 3. analyzing the relationship between bullying and job satisfaction of employees 4. providing suitable recommendations on minimizing the bullying at the workplace

The objectives of a dissertation should be SMART.

• Specific: should be precise, focused, and well-defined
• Measurable: the progress should be measurable, and you should be able to determine when you have achieved an objective.
• Achievable: you should be able to carry out the required action within your available resources
• Relevant: should be related to the dissertation aim
• Time-bound: should be possible within the available time

Differences between aims and objectives

Aims and objectives are often mixed, but there are clear differences between them.

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How to write aims and objectives?

There is no particular way or standard to write the aims and objectives. Different researchers have different writing styles, and often it can be influenced by your research supervisor. However, you should follow certain basic principles while writing aims and objectives in a dissertation.

Writing the aim statement

The aim statement should cover the following essential elements.

• Why is the research necessary? (covers the underlying problem on which the study is to be conducted)
• What is the research about? (description of the research title)
• How are you going to conduct it? (a brief statement of intended research methods)

An appropriate aim clearly defines the research purpose without confusing the reader. If you struggle to explain your research and its importance in simpler terms, you should consider refining your research to clarify it further.

Writing objectives

The objectives describe how you would achieve your research aim. You can do this through the following steps,

• The first one to two objectives can be applied to the literature review . (Verbs to be used: investigate, examine, study)
• One objective can be applied to the methodology portion. (Verbs to be used: collect, select, demonstrate, estimate)
• Two to three objectives can cover the critical evaluation or discussion chapters (Verbs to be used: analyze, compare, evaluate)
• The final objective will cover the conclusion or recommendation portion. (Verbs to be used: conclude, recommend)

Instead of writing like a paragraph, the objectives should be written as a numbered list to give them more clarity.

How many aims and objectives should be there?

It depends upon the topic of your research and mainly upon your supervisor’s requirements. Generally, a dissertation has a single broad statement as the research aim. However, it is acceptable to include a main aim along with two to three subsidiary aims.

Similarly, the number of objectives should be realistic and sufficient to measure the progress regarding the achievement of the research aim. Their number can generally vary from three to six depending upon the aim.

Common mistakes to avoid while writing research aims and objectives

• Writing a broad research aim

Writing a broad research aim is a common mistake, and it often becomes difficult to achieve. It may create a problem when you are asked to prove how you have achieved your aims during your  viva defense . It would be best to narrow your study to a specific area in the early stages of the dissertation.

• Formulating overlapping research objectives

The objectives should be written such that they are measurable and distinct from each other. If they overlap, it makes it difficult to structure your dissertation properly in specific chapters.

• Setting unrealistic aims

Students often get over-ambitious while describing the research aim and face problems afterward in achieving those aims. You should avoid this mistake and be realistic about what you can achieve in the available time and resources.

Aims and objectives are the sections that require significant time and attention to avoid future hassles while conducting research and writing your dissertation.

Frequently Asked Questions

How to set dissertation aims and objectives.

To set dissertation aims and objectives, define your research goals clearly. Aims state what you want to achieve, while objectives outline specific, measurable steps to reach those goals. Ensure they align with your research question and contribute to your study’s significance.

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The Eucharistic Vocation of a Catholic School

by Timothy O'Malley June 10, 2024

O nce a year, when I was a doctoral student, each of us submitted a dissertation proposal. The exercise, intended to alleviate stress, produced plentiful anxiety as our fellow doctoral students and faculty publicly debated the merits of our ideas. One year, I suggested the possibility of writing a dissertation on the Eucharistic vocation of the Catholic university. The proposal was immediately dismissed by one faculty member who noted that the Catholic university was too ecumenical, focused on intellectual dialogue, to attend to something so peculiarly Catholic as the Eucharist.

Perhaps, many faculty and administrators feel something similar about the Eucharistic nature of both primary and secondary education. Yes, the Eucharist is important to the Catholic school insofar as it is a sacrament regularly celebrated over the course of the school year. Yes, it is especially important for Catholic faculty and staff who should have a Eucharistic faith. But can the Eucharist be a privileged source of renewal and identity for the school today?

We must therefore ask the question: what does the Eucharist have to do with the Catholic school? During this period of the Eucharistic Revival, this is a pivotal question, especially as our institutions continue to discern what it means to be Catholic today. What follows is intended to function as a primer on this topic, built around four key theses related to the Eucharist and Catholic education.

Thesis #1: A Catholic school has a vocation to be Eucharistic, which does not mean giving up its identity as a school

Catholic educators can easily misunderstand what it means to speak about the Eucharistic identity of a school. After all, Catholic schools are educational institutions, and while the Mass might be regularly offered in this setting, the Eucharist may be perceived as far too intramural of an activity to be integral to the identity of an educational institution. Further, many Catholic schools now educate many students who are not Catholic at all: does this mean that such persons are excluded from participation in the life of the school if this school finds its raison d’être in the Eucharistic mystery?

These objections are important to consider. As the recent Directory for Catechesis notes about the Catholic school:

No less than other schools does the Catholic school pursue cultural goals and the human formation of youth. But its proper function is to create for the school community a special atmosphere animated by the Gospel spirit . . . and finally to order the whole of human culture to the news of salvation so that the knowledge the students gradually acquire of the world, life, and man is illumined by faith. . . . In brief, the following characteristics stand out: harmony with the formative aims of secular schools; the originality of the educational community permeated by evangelical values; attention to young people; concern for teaching the integration of faith, culture, and life ( Directory for Catechesis , §309).

A school functions as a school not by passing on the rudiments of liturgical practice to students. The school has a social and cultural goal akin to its secular peers—it is a formation into the task of being fully human. This goal is expressed through initiation into the various disciplines that make up the sources of human wisdom as well as forming students to function as members of the broader social order. But, as the Directory underlines, there is a distinct vocation of a Catholic school to think about education, considering the Gospel spirit and the life of faith.

In that sense, the Eucharist (especially during this time of Eucharistic Revival) should be a source of more richly understanding the vocation of a school in our own age without giving up the uniqueness of the academic environment of the school qua school.

Thesis #2: To approach the school according to this Eucharistic vision, we need to have a richer account of the Eucharist, that is, the Eucharist is integral to Catholic identity in toto ; we are not simply talking about the regular celebration of the Mass

When the word Eucharist is used, the first thought of many Catholics may be the celebration of the Mass that unfolds in parish churches each day. Some may think almost exclusively about the reception of the Eucharist, that is, Christ’s Body and Blood. In both cases, one can certainly understand why many Catholics would see a Eucharistic vision around Catholic education as not quite as robust as one may find in such doctrines as the human person created in the image and likeness of God; in the doctrine of the Trinity, that is, the intrinsic relationality of the God in whose likeness men and women are created; even the sacramentality of the created order where we recognize the hidden presence of God in the totality of creation.

The problem with the above concerns is that the word Eucharist is being used in too thin of a sense, referring primarily to the celebration of a rite or the reception of a sacrament. The Church speaks about the Eucharist in another sense, related to the flourishing of the human person who is taken up into God’s life. It may be helpful to turn to Benedict XVI’s Sacramentum caritatis, where he addresses the Eucharist as giving form to the totality of Christian life. He writes:

Here the eucharistic celebration appears in all its power as the source and summit of the Church's life, since it expresses at once both the origin and the fulfilment of the new and definitive worship of God, the logiké latreía . Saint Paul's exhortation to the Romans in this regard is a concise description of how the Eucharist makes our whole life a spiritual worship pleasing to God: “I appeal to you therefore, my brothers, by the mercies of God, to present your bodies as a living sacrifice, holy and acceptable to God, which is your spiritual worship” (Rom 12:1). In these words the new worship appears as a total self-offering made in communion with the whole Church. The Apostle's insistence on the offering of our bodies emphasizes the concrete human reality of a worship which is anything but disincarnate. The Bishop of Hippo goes on to say that “this is the sacrifice of Christians: that we, though many, are one body in Christ. The Church celebrates this mystery in the sacrament of the altar, as the faithful know, and there she shows them clearly that in what is offered, she herself is offered.” Catholic doctrine, in fact, affirms that the Eucharist, as the sacrifice of Christ, is also the sacrifice of the Church, and thus of all the faithful. This insistence on sacrifice—a “making sacred”—expresses all the existential depth implied in the transformation of our human reality as taken up by Christ (cf. Phil 3:12).

Benedict XVI is retrieving a fundamental sense of worship as used by St. Paul in the New Testament—namely, that worship is the reasonable or logical offering ( logiké latreia ) of our flesh and blood selves, the sacrificial return gift to God of the very self. Sacrifice, in this sense, is not a matter of pain or suffering. Rather, sacrifice is that task of making sacred, of letting every crack and crevice be transformed by divine love. Creation was made for love, and our worship is a return gift—it is gratitude—for the original goodness God intended for the cosmos. Worship, therefore, cannot be reduced to a single moment of attending Mass but is a whole attitude toward the world, a recognition that every aspect of human life can be redeemed in Christ.

For this reason, Benedict XVI continues in Sacramentum Caritatis :

Christianity's new worship includes and transfigures every aspect of life: “Whether you eat or drink, or whatever you do, do all to the glory of God” (1 Cor 10:31). Christians, in all their actions, are called to offer true worship to God. Here the intrinsically eucharistic nature of Christian life begins to take shape. The Eucharist, since it embraces the concrete, everyday existence of the believer, makes possible, day by day, the progressive transfiguration of all those called by grace to reflect the image of the Son of God (cf. Rom 8:29ff.). There is nothing authentically human—our thoughts and affections, our words and deeds—that does not find in the sacrament of the Eucharist the form it needs to be lived to the full. Here we can see the full human import of the radical newness brought by Christ in the Eucharist: the worship of God in our lives cannot be relegated to something private and individual, but tends by its nature to permeate every aspect of our existence. Worship pleasing to God thus becomes a new way of living our whole life, each particular moment of which is lifted up, since it is lived as part of a relationship with Christ and as an offering to God. The glory of God is the living man (cf. 1 Cor 10:31). And the life of man is the vision of God.

Benedict XVI is addressing a very different understanding of worship than tends to operate in American society. We tend to view worship exclusively as a merely subjective and private act: I choose to worship God, because I find it fruitful. If I do not find it helpful, then there is no need to worship. And that decision is ultimately a private one, having nothing to do with how I act in the world. But Eucharistic worship, as Benedict XVI, is intended to shape a whole life. Through Christ’s sacrifice, which is given at Mass, I am invited to make of my life a return gift back to the Father through the Son in the unity of the Holy Spirit. Nothing human is to be left behind.

The implications for the Catholic school should be patent. Study, friendships, sports, communal life, whatever initiation into human culture that is performed in the life of the school can find a place in the Eucharistic worship of the school.

Thesis #3: The Mass, therefore, is important to the school not as a private devotional activity but as providing a prophetic vision of the school’s mission

The Mass, therefore, is important to the life of the school because it provides a prophetic vision of the school’s overall mission. As the philosopher James K.A. Smith has argued in his trilogy on liturgy and education, everybody worships something. You can worship achievement, you can worship power, prestige, the pursuit of fame and fortune. It is not an option to worship something, and every cultural institution proposes something or someone that must be worshipped. The Catholic school, by placing the Mass at the center of its existence, notes that the source of our worship is the God-man, Jesus Christ. But that also makes our approach to education a prophetic one.

First, Catholic education is principally a giving of thanks for the created order. Study is not ultimately about mastery or control. Rather, just as bread and wine are recognized as gifts given by God, gifts transformed by human activity (baking and fermenting), so too our study must arise from this sense of gratuity.

Second, though, Catholic education is an act of remembering. The Eucharistic liturgy gives thanks through remembering the wondrous works of God. This giving of thanks is based on the very structure of how the Church prays: we remember what God has done not as a past event but as a past event that effects the present, leading us to hope in the wondrous future that God will accomplish at the end of time. That is, worship for a Catholic is an initiation into wisdom: a way of remembering the past, which has repercussions for how we view the present, and even how we think about the future. Studying the history of texts, ideas, and concepts is therefore not just about knowing lots of concepts or facts. It is a seeking of the wisdom of the past for the sake of present understanding, which leads to a new way of perceiving the world in the future.

Third, Catholic education is necessarily contemplative. The temptation in the present educational ecology is to focus exclusively on the pragmatic. The student learns x, y, or z so that he or she can do x, y, or z. The purpose of learning is so that we have the kind of scientific understanding that creates new inventions, technological innovation that contributes to the growth of the economy. Such an approach tends to reduce the world to an object to manipulate, rather than to receive as a gift, to wonder at. But in the Eucharist, we Catholics see bread and wine that already mean something more: bread and wine were created to become the Eucharist. And that bread and wine become the Body and Blood of Christ. This change is not a tangible one: you cannot measure it. Rather, it is one that is known only through the contemplative eyes of love, which pause before the Eucharistic species in an act of wonder. Godhead here in hiding whom I do adore . Such seeing is not a matter of immediately grasping but the result of a festive contemplation that seeks deeper understanding of the gift that is given. Catholic schools, therefore, learn from the Eucharist a slow way of teaching and learning, not being taken up at once into the frenetic pursuit of achievement and accomplishments.

Fourth, through the Eucharistic mystery, Catholic education must recognize that there is a personal, internal dimension related to the mystery of the person we are teaching. In the Eucharistic mystery, God comes to feed the person, and the individual comes to commune with the living God. There is a moment of silence after reception of the Eucharist in which the individual communicant enters the interior space of the heart, giving thanks for the marvelous gift that has been received: God has nourished me with God’s very self, taking me up into God’s very life in this act of eating. Catholic schools, therefore, cannot be spaces of social engineering in which the freedom of the person is eliminated. The school recognizes the dignity of the student as a free person, someone who is invited to lift up their hearts to the Lord.

Fifth, in the Eucharistic mystery, we are given an image of the kind of communion that the community of the school is called to. As Benedict XVI noted, one of the dangers of forming communities in our age is that said communities are formed primarily around ideologies, which tend to exclude someone from that community. You are out of the community because you are not wealthy. You are out of the community because you have a disability. You are out of the community because you are not from this neighborhood. But in receiving the Eucharist, we are invited to another way of viewing communion: all are welcome, because all are called to the supper of the Lamb. We love one another, not because we have written a mission statement that says we should, but because God first loved us. In celebrating Mass, in receiving the Body and Blood of Christ, we are called to a renewed sense of community life as participation in communion. Not a communion we created but a communion made possible through the gift of divine love.

Thesis #4: The Eucharist Provides a Contemplative Space for Considering a Catholic School’s Unique Mission.

It should be clear that if one takes seriously the Eucharistic mission of the school, then there are consequences for the curriculum (both implicit and explicit), pedagogy (the kind of ways we lead young people into an act of worshipful wisdom), and the governance of the school (how we shape the whole life of the school in a way that promotes the freedom of the student in communion with one another).

But those consequences are not immediately patent, which is why we must address these questions in the first place. Such consequences require engagement with an array of educators, who seek to instantiate the unique mission of Catholic schooling in a variety of settings. When that mission is understood more deeply, every Catholic educator will be able to adopt the maxim of St. Irenaeus: the Eucharist shapes our way of thinking, and our way of thinking conforms to the Eucharistic mystery.

EDITORIAL NOTE: This lecture was originally given at the first session of the conference of the McGrath Institute for Church Life, The Eucharist and Catholic Schools , held from June 10 through July 24, 2024. The results of the conference will be published upon its conclusion.

Featured Image: Taken by Lawrence OP , Jozef Mehoffer, Eucharist, stained-glass window Fribourg Cathedral; Source: Flickr, CC BY-NC-ND 2.0 . 

Timothy O'Malley

Timothy P. O’Malley is the Director of Education at the McGrath Institute for Church Life , where he also serves as Academic Director of the Notre Dame Center for Liturgy . He teaches and researches at Notre Dame in the areas of liturgical-sacrmental theology, catechesis, and aesthetics. He is the author of numerous articles and books, most recently, the forthcoming Divine Blessing: Liturgical Formation in the RCIA .

Read more by Timothy O'Malley

God in Things and People: Commodity Fetishism and the Eucharist

May 06, 2024 | William T. Cavanaugh

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What Is a Research Methodology? | Steps & Tips

Published on 25 February 2019 by Shona McCombes . Revised on 10 October 2022.

Your research methodology discusses and explains the data collection and analysis methods you used in your research. A key part of your thesis, dissertation, or research paper, the methodology chapter explains what you did and how you did it, allowing readers to evaluate the reliability and validity of your research.

It should include:

• The type of research you conducted
• How you collected and analysed your data
• Any tools or materials you used in the research
• Why you chose these methods
• Your methodology section should generally be written in the past tense .
• Academic style guides in your field may provide detailed guidelines on what to include for different types of studies.
• Your citation style might provide guidelines for your methodology section (e.g., an APA Style methods section ).

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Table of contents

How to write a research methodology, why is a methods section important, step 1: explain your methodological approach, step 2: describe your data collection methods, step 3: describe your analysis method, step 4: evaluate and justify the methodological choices you made, tips for writing a strong methodology chapter, frequently asked questions about methodology.

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Your methods section is your opportunity to share how you conducted your research and why you chose the methods you chose. It’s also the place to show that your research was rigorously conducted and can be replicated .

It gives your research legitimacy and situates it within your field, and also gives your readers a place to refer to if they have any questions or critiques in other sections.

You can start by introducing your overall approach to your research. You have two options here.

Option 1: Start with your “what”

What research problem or question did you investigate?

• Aim to describe the characteristics of something?
• Explore an under-researched topic?
• Establish a causal relationship?

And what type of data did you need to achieve this aim?

• Quantitative data , qualitative data , or a mix of both?
• Primary data collected yourself, or secondary data collected by someone else?
• Experimental data gathered by controlling and manipulating variables, or descriptive data gathered via observations?

Option 2: Start with your “why”

Depending on your discipline, you can also start with a discussion of the rationale and assumptions underpinning your methodology. In other words, why did you choose these methods for your study?

• Why is this the best way to answer your research question?
• Is this a standard methodology in your field, or does it require justification?
• Were there any ethical considerations involved in your choices?
• What are the criteria for validity and reliability in this type of research ?

Once you have introduced your reader to your methodological approach, you should share full details about your data collection methods .

Quantitative methods

In order to be considered generalisable, you should describe quantitative research methods in enough detail for another researcher to replicate your study.

Here, explain how you operationalised your concepts and measured your variables. Discuss your sampling method or inclusion/exclusion criteria, as well as any tools, procedures, and materials you used to gather your data.

Surveys Describe where, when, and how the survey was conducted.

• How did you design the questionnaire?
• What form did your questions take (e.g., multiple choice, Likert scale )?
• Were your surveys conducted in-person or virtually?
• What sampling method did you use to select participants?
• What was your sample size and response rate?

Experiments Share full details of the tools, techniques, and procedures you used to conduct your experiment.

• How did you design the experiment ?
• How did you recruit participants?
• How did you manipulate and measure the variables ?
• What tools did you use?

Existing data Explain how you gathered and selected the material (such as datasets or archival data) that you used in your analysis.

• Where did you source the material?
• How was the data originally produced?
• What criteria did you use to select material (e.g., date range)?

The survey consisted of 5 multiple-choice questions and 10 questions measured on a 7-point Likert scale.

The goal was to collect survey responses from 350 customers visiting the fitness apparel company’s brick-and-mortar location in Boston on 4–8 July 2022, between 11:00 and 15:00.

Here, a customer was defined as a person who had purchased a product from the company on the day they took the survey. Participants were given 5 minutes to fill in the survey anonymously. In total, 408 customers responded, but not all surveys were fully completed. Due to this, 371 survey results were included in the analysis.

Qualitative methods

In qualitative research , methods are often more flexible and subjective. For this reason, it’s crucial to robustly explain the methodology choices you made.

Be sure to discuss the criteria you used to select your data, the context in which your research was conducted, and the role you played in collecting your data (e.g., were you an active participant, or a passive observer?)

Interviews or focus groups Describe where, when, and how the interviews were conducted.

• How did you find and select participants?
• How many participants took part?
• What form did the interviews take ( structured , semi-structured , or unstructured )?
• How long were the interviews?
• How were they recorded?

Participant observation Describe where, when, and how you conducted the observation or ethnography .

• What group or community did you observe? How long did you spend there?
• How did you gain access to this group? What role did you play in the community?
• How long did you spend conducting the research? Where was it located?
• How did you record your data (e.g., audiovisual recordings, note-taking)?

Existing data Explain how you selected case study materials for your analysis.

• What type of materials did you analyse?
• How did you select them?

In order to gain better insight into possibilities for future improvement of the fitness shop’s product range, semi-structured interviews were conducted with 8 returning customers.

Here, a returning customer was defined as someone who usually bought products at least twice a week from the store.

Surveys were used to select participants. Interviews were conducted in a small office next to the cash register and lasted approximately 20 minutes each. Answers were recorded by note-taking, and seven interviews were also filmed with consent. One interviewee preferred not to be filmed.

Mixed methods

Mixed methods research combines quantitative and qualitative approaches. If a standalone quantitative or qualitative study is insufficient to answer your research question, mixed methods may be a good fit for you.

Mixed methods are less common than standalone analyses, largely because they require a great deal of effort to pull off successfully. If you choose to pursue mixed methods, it’s especially important to robustly justify your methods here.

Next, you should indicate how you processed and analysed your data. Avoid going into too much detail: you should not start introducing or discussing any of your results at this stage.

In quantitative research , your analysis will be based on numbers. In your methods section, you can include:

• How you prepared the data before analysing it (e.g., checking for missing data , removing outliers , transforming variables)
• Which software you used (e.g., SPSS, Stata or R)
• Which statistical tests you used (e.g., two-tailed t test , simple linear regression )

In qualitative research, your analysis will be based on language, images, and observations (often involving some form of textual analysis ).

Specific methods might include:

• Content analysis : Categorising and discussing the meaning of words, phrases and sentences
• Thematic analysis : Coding and closely examining the data to identify broad themes and patterns
• Discourse analysis : Studying communication and meaning in relation to their social context

Mixed methods combine the above two research methods, integrating both qualitative and quantitative approaches into one coherent analytical process.

Above all, your methodology section should clearly make the case for why you chose the methods you did. This is especially true if you did not take the most standard approach to your topic. In this case, discuss why other methods were not suitable for your objectives, and show how this approach contributes new knowledge or understanding.

In any case, it should be overwhelmingly clear to your reader that you set yourself up for success in terms of your methodology’s design. Show how your methods should lead to results that are valid and reliable, while leaving the analysis of the meaning, importance, and relevance of your results for your discussion section .

• Quantitative: Lab-based experiments cannot always accurately simulate real-life situations and behaviours, but they are effective for testing causal relationships between variables .
• Qualitative: Unstructured interviews usually produce results that cannot be generalised beyond the sample group , but they provide a more in-depth understanding of participants’ perceptions, motivations, and emotions.
• Mixed methods: Despite issues systematically comparing differing types of data, a solely quantitative study would not sufficiently incorporate the lived experience of each participant, while a solely qualitative study would be insufficiently generalisable.

Remember that your aim is not just to describe your methods, but to show how and why you applied them. Again, it’s critical to demonstrate that your research was rigorously conducted and can be replicated.

1. Focus on your objectives and research questions

The methodology section should clearly show why your methods suit your objectives  and convince the reader that you chose the best possible approach to answering your problem statement and research questions .

2. Cite relevant sources

Your methodology can be strengthened by referencing existing research in your field. This can help you to:

• Show that you followed established practice for your type of research
• Discuss how you decided on your approach by evaluating existing research
• Present a novel methodological approach to address a gap in the literature

3. Write for your audience

Consider how much information you need to give, and avoid getting too lengthy. If you are using methods that are standard for your discipline, you probably don’t need to give a lot of background or justification.

Regardless, your methodology should be a clear, well-structured text that makes an argument for your approach, not just a list of technical details and procedures.

Methodology refers to the overarching strategy and rationale of your research. Developing your methodology involves studying the research methods used in your field and the theories or principles that underpin them, in order to choose the approach that best matches your objectives.

Methods are the specific tools and procedures you use to collect and analyse data (e.g. interviews, experiments , surveys , statistical tests ).

In a dissertation or scientific paper, the methodology chapter or methods section comes after the introduction and before the results , discussion and conclusion .

Depending on the length and type of document, you might also include a literature review or theoretical framework before the methodology.

Quantitative research deals with numbers and statistics, while qualitative research deals with words and meanings.

Quantitative methods allow you to test a hypothesis by systematically collecting and analysing data, while qualitative methods allow you to explore ideas and experiences in depth.

A sample is a subset of individuals from a larger population. Sampling means selecting the group that you will actually collect data from in your research.

For example, if you are researching the opinions of students in your university, you could survey a sample of 100 students.

Statistical sampling allows you to test a hypothesis about the characteristics of a population. There are various sampling methods you can use to ensure that your sample is representative of the population as a whole.

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Gse 2024 graduates leave campus to lead lives in service to learning.

From bouncing babies and cheerful children, to young adults and centenarians, the full breadth of human life was in attendance at Stanford Graduate School of Education’s (GSE) 2024 commencement ceremony on Sunday, June 16.

The air was electric as GSE students who’ve been on campus from one to five-plus years prepared to receive the fruits of their labor: a degree that will equip them to better education out in the world. Packing most of the seats, though, were the friends, family members, and loved ones that supported students along the way.

“I would like to remind everyone that graduate ceremonies are not really for the students,” said GSE Dean Dan Schwartz before asking graduates to face the audience as part of a longstanding tradition. 

“They are for the families and friends of the graduates who are proud of what they have done to help their graduates succeed.”

Virginia "Ginger" Hislop (center) holds her long-awaited master’s in education diploma surrounded by 16 family members, including grand- and great-grandchildren. (Photo: Charles Russo)

The arc of a life

Included among the throng of people cheering on their graduates was 16 family members belonging to one Virginia “Ginger” Hislop, a Stanford education student who left campus in 1941 just before turning in her master’s thesis due to her then-boyfriend, now late husband, George, getting summoned to serve in World War II.

“My job as a commencement speaker is to help everyone imagine the arc of life and its possibilities and accomplishments, from the past, to the present moment, and into the future,” Schwartz said in a moving address to students. 

“Often this involves a speech with soaring and evocative language to engender your imaginations. This year, I would like to do something different. I will show you the arc of life, and I will try not to cry.”

He went on to share Hislop’s many accomplishments since leaving Stanford 83 years ago, including heading school boards and advocating for students, exemplifying what it looks like to live a life in service of education. Schwartz then conferred Hislop’s long-awaited master of arts in education, just four days after her 105th birthday.

“To me, this degree is an appreciation of the many years I’ve put in working for the schools in the Yakima area and on state boards,” said Hislop, who was born in Palo Alto and resides in Yakima, Washington.

GSE faculty including Dean Dan Schwartz (second from left) and flag bearer Megan Selbach-Allen (far left) prepare to lead the procession at commencement. Upon graduation, Selbach-Allen will work as an education research scientist. (Photo: Charles Russo)

Principles of problem solving in education

Getting to commencement required no shortage of coursework for GSE’s class of 2024  — which this year included 130 master’s, 27 doctoral, 17 joint degree, and 28 undergraduate  honors and minors students — so it was only fitting that John Willinsky, Khosla Family Professor Emeritus, structured his speech as a last lecture of sorts. 

“It has always been the hope of those sitting on this stage [faculty] that our work will assist in all of the good that you are destined to do in education,” said Willinsky, who taught at Stanford for 15 years before retiring in July of 2022. 

His “lecture” had three simple principles for students to follow in order to solve problems in education: 

• Find what you can fix in a picture that’s wrong.
• Patiently support those who can help fix the picture.
• Be prepared to iterate and adjust your approach when you encounter unexpected consequences or challenges.

“I’m certain that you graduates – who have already done so much and who hold such promise – are going to improve a great many pictures,” Willinsky said.

For Megan Selbach-Allen PhD ’24, this year’s flag bearer at commencement, the educational picture she’s trying to fix involves the teaching and learning of math for undergraduate students. 

“It’s totally fine if someone doesn’t want to start studying a STEM [Science, Technology, Engineering, Math] subject, but if they do start wanting to pursue STEM, and decide against it because they have bad math instruction or classes, that’s a problem that I want to be a part of solving,” said Selbach-Allen, who was a Marine Corps officer prior to joining the GSE in 2018.

After graduation, Selbach-Allen will work as an education research scientist in Harvard University’s math department, where part of her work will be mentoring teaching fellows in education research.

“I’m excited to be a part of teaching the next generation of faculty in mathematics how to teach math based on education research,” she said.

Kemi Oyewole, PhD ’24, accepts her diploma from Dean Dan Schwartz after receiving the Walter J. Gores award for excellence in teaching earlier this month. (Photo: Charles Russo)

Pursuing excellence

Also among the 2024 graduates that received degrees on Sunday was Kemi Oyewole, PhD ’24, who was honored earlier this month with the Walter J. Gores Award , the university’s highest award for excellence in teaching.

“The Gores Award is a humbling recognition of the importance of the university as a place for personal, not only academic, development,” said Oyewole, whose research focuses on what instructional coaching teaches about the needs of contemporary K-12 school systems. 

“At its best, teaching asks us to combine our previous experiences with new learning to see the world more expansively,” she said. “I am committed to empowering students to examine who is harmed by unjust social policies and to critically imagine ways people can work together to address these harms.”

Following graduation, Oyewole plans on continuing her research as a provost's postdoctoral fellow at the University of Pennsylvania.

“Commencement was an overwhelming culmination of the love and learning that led me to this milestone,” she said. “My degree is an achievement shared with the family who prayed for me, friends who supported me, and educators whose experiences shaped my dissertation.”

Willinsky closed out his commencement speech by mirroring the way Schwartz opened it: asking students to recognize the community that led them to this auspicious chapter.

“The graduates have been a source of insight, inspiration, and understanding for all of us,” he said. 

“Members of the GSE community, by which I mean everyone assembled here, turn to your right and to your left, look forward and turn around, to say thank you to those all around you for helping bring us to this moment. All of us here are a part of it all.”

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Materials Horizons

Versatile ionic liquid gels formed by dynamic covalent bonding and microphase separated structures.

It is challenging for ionic liquid gels to achieve the combination of rapid self-healing with high toughness. Here, ionic liquid gels (DI-PR) were prepared from readily available materials. A dynamic covalently bonded oxime-carbamate was prepared from polycaprolactone diol, isophorone diisocyanate and dimethylethyleneglyoxime, followed by addition of the "rigid-flexible" cross-linking agent rutin to chemically cross-link the polymer chains and afford the ionic liquid gels, DI-PR. The tensile strength, elongation at break and toughness of the DI-PR gels were as high as 16.5 MPa, 1132.6%, and 52.6 MJ·m−3, respectively. The toughness is similar that of natural silkworm silk (70 MJ·m−3) and wool (60 MJ·m−3). After stretching, the DI-PR can rebound within 1 s, their room temperature self-healing rate is as high as 92%, they remain functional over the temperature range −50 ℃ to 140 ℃ and the interface with a steel plate has an adhesion toughness of > 2000 J·m−2. These properties mean that the DI-PR gels are particularly suitable for use as anticorrosion coatings for submarine and underground gas and oil pipelines. The use of rutin, which combines rigid quercetin-based structural units with flexible glycoside-based structural units, as a cross-linking agent, synergistic interaction with hard and soft chain fragments of polyurethanes provides a new method for improving the toughness of soft materials.

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How To Write The Results/Findings Chapter

For quantitative studies (dissertations & theses).

By: Derek Jansen (MBA) | Expert Reviewed By: Kerryn Warren (PhD) | July 2021

So, you’ve completed your quantitative data analysis and it’s time to report on your findings. But where do you start? In this post, we’ll walk you through the results chapter (also called the findings or analysis chapter), step by step, so that you can craft this section of your dissertation or thesis with confidence. If you’re looking for information regarding the results chapter for qualitative studies, you can find that here .

Overview: Quantitative Results Chapter

• What exactly the results chapter is
• What you need to include in your chapter
• How to structure the chapter
• Tips and tricks for writing a top-notch chapter
• Free results chapter template

What exactly is the results chapter?

The results chapter (also referred to as the findings or analysis chapter) is one of the most important chapters of your dissertation or thesis because it shows the reader what you’ve found in terms of the quantitative data you’ve collected. It presents the data using a clear text narrative, supported by tables, graphs and charts. In doing so, it also highlights any potential issues (such as outliers or unusual findings) you’ve come across.

But how’s that different from the discussion chapter?

Well, in the results chapter, you only present your statistical findings. Only the numbers, so to speak – no more, no less. Contrasted to this, in the discussion chapter , you interpret your findings and link them to prior research (i.e. your literature review), as well as your research objectives and research questions . In other words, the results chapter presents and describes the data, while the discussion chapter interprets the data.

Let’s look at an example.

In your results chapter, you may have a plot that shows how respondents to a survey  responded: the numbers of respondents per category, for instance. You may also state whether this supports a hypothesis by using a p-value from a statistical test. But it is only in the discussion chapter where you will say why this is relevant or how it compares with the literature or the broader picture. So, in your results chapter, make sure that you don’t present anything other than the hard facts – this is not the place for subjectivity.

It’s worth mentioning that some universities prefer you to combine the results and discussion chapters. Even so, it is good practice to separate the results and discussion elements within the chapter, as this ensures your findings are fully described. Typically, though, the results and discussion chapters are split up in quantitative studies. If you’re unsure, chat with your research supervisor or chair to find out what their preference is.

What should you include in the results chapter?

Following your analysis, it’s likely you’ll have far more data than are necessary to include in your chapter. In all likelihood, you’ll have a mountain of SPSS or R output data, and it’s your job to decide what’s most relevant. You’ll need to cut through the noise and focus on the data that matters.

This doesn’t mean that those analyses were a waste of time – on the contrary, those analyses ensure that you have a good understanding of your dataset and how to interpret it. However, that doesn’t mean your reader or examiner needs to see the 165 histograms you created! Relevance is key.

How do I decide what’s relevant?

At this point, it can be difficult to strike a balance between what is and isn’t important. But the most important thing is to ensure your results reflect and align with the purpose of your study .  So, you need to revisit your research aims, objectives and research questions and use these as a litmus test for relevance. Make sure that you refer back to these constantly when writing up your chapter so that you stay on track.

As a general guide, your results chapter will typically include the following:

• Some demographic data about your sample
• Reliability tests (if you used measurement scales)
• Descriptive statistics
• Inferential statistics (if your research objectives and questions require these)
• Hypothesis tests (again, if your research objectives and questions require these)

We’ll discuss each of these points in more detail in the next section.

Importantly, your results chapter needs to lay the foundation for your discussion chapter . This means that, in your results chapter, you need to include all the data that you will use as the basis for your interpretation in the discussion chapter.

For example, if you plan to highlight the strong relationship between Variable X and Variable Y in your discussion chapter, you need to present the respective analysis in your results chapter – perhaps a correlation or regression analysis.

Need a helping hand?

How do I write the results chapter?

There are multiple steps involved in writing up the results chapter for your quantitative research. The exact number of steps applicable to you will vary from study to study and will depend on the nature of the research aims, objectives and research questions . However, we’ll outline the generic steps below.

Step 1 – Revisit your research questions

The first step in writing your results chapter is to revisit your research objectives and research questions . These will be (or at least, should be!) the driving force behind your results and discussion chapters, so you need to review them and then ask yourself which statistical analyses and tests (from your mountain of data) would specifically help you address these . For each research objective and research question, list the specific piece (or pieces) of analysis that address it.

At this stage, it’s also useful to think about the key points that you want to raise in your discussion chapter and note these down so that you have a clear reminder of which data points and analyses you want to highlight in the results chapter. Again, list your points and then list the specific piece of analysis that addresses each point. 

Next, you should draw up a rough outline of how you plan to structure your chapter . Which analyses and statistical tests will you present and in what order? We’ll discuss the “standard structure” in more detail later, but it’s worth mentioning now that it’s always useful to draw up a rough outline before you start writing (this advice applies to any chapter).

Step 2 – Craft an overview introduction

As with all chapters in your dissertation or thesis, you should start your quantitative results chapter by providing a brief overview of what you’ll do in the chapter and why . For example, you’d explain that you will start by presenting demographic data to understand the representativeness of the sample, before moving onto X, Y and Z.

This section shouldn’t be lengthy – a paragraph or two maximum. Also, it’s a good idea to weave the research questions into this section so that there’s a golden thread that runs through the document.

Step 3 – Present the sample demographic data

The first set of data that you’ll present is an overview of the sample demographics – in other words, the demographics of your respondents.

For example:

• What age range are they?
• How is gender distributed?
• How is ethnicity distributed?
• What areas do the participants live in?

The purpose of this is to assess how representative the sample is of the broader population. This is important for the sake of the generalisability of the results. If your sample is not representative of the population, you will not be able to generalise your findings. This is not necessarily the end of the world, but it is a limitation you’ll need to acknowledge.

Of course, to make this representativeness assessment, you’ll need to have a clear view of the demographics of the population. So, make sure that you design your survey to capture the correct demographic information that you will compare your sample to.

But what if I’m not interested in generalisability?

Well, even if your purpose is not necessarily to extrapolate your findings to the broader population, understanding your sample will allow you to interpret your findings appropriately, considering who responded. In other words, it will help you contextualise your findings . For example, if 80% of your sample was aged over 65, this may be a significant contextual factor to consider when interpreting the data. Therefore, it’s important to understand and present the demographic data.

 Step 4 – Review composite measures and the data “shape”.

Before you undertake any statistical analysis, you’ll need to do some checks to ensure that your data are suitable for the analysis methods and techniques you plan to use. If you try to analyse data that doesn’t meet the assumptions of a specific statistical technique, your results will be largely meaningless. Therefore, you may need to show that the methods and techniques you’ll use are “allowed”.

Most commonly, there are two areas you need to pay attention to:

#1: Composite measures

The first is when you have multiple scale-based measures that combine to capture one construct – this is called a composite measure .  For example, you may have four Likert scale-based measures that (should) all measure the same thing, but in different ways. In other words, in a survey, these four scales should all receive similar ratings. This is called “ internal consistency ”.

Internal consistency is not guaranteed though (especially if you developed the measures yourself), so you need to assess the reliability of each composite measure using a test. Typically, Cronbach’s Alpha is a common test used to assess internal consistency – i.e., to show that the items you’re combining are more or less saying the same thing. A high alpha score means that your measure is internally consistent. A low alpha score means you may need to consider scrapping one or more of the measures.

#2: Data shape

The second matter that you should address early on in your results chapter is data shape. In other words, you need to assess whether the data in your set are symmetrical (i.e. normally distributed) or not, as this will directly impact what type of analyses you can use. For many common inferential tests such as T-tests or ANOVAs (we’ll discuss these a bit later), your data needs to be normally distributed. If it’s not, you’ll need to adjust your strategy and use alternative tests.

To assess the shape of the data, you’ll usually assess a variety of descriptive statistics (such as the mean, median and skewness), which is what we’ll look at next.

Step 5 – Present the descriptive statistics

Now that you’ve laid the foundation by discussing the representativeness of your sample, as well as the reliability of your measures and the shape of your data, you can get started with the actual statistical analysis. The first step is to present the descriptive statistics for your variables.

For scaled data, this usually includes statistics such as:

• The mean – this is simply the mathematical average of a range of numbers.
• The median – this is the midpoint in a range of numbers when the numbers are arranged in order.
• The mode – this is the most commonly repeated number in the data set.
• Standard deviation – this metric indicates how dispersed a range of numbers is. In other words, how close all the numbers are to the mean (the average).
• Skewness – this indicates how symmetrical a range of numbers is. In other words, do they tend to cluster into a smooth bell curve shape in the middle of the graph (this is called a normal or parametric distribution), or do they lean to the left or right (this is called a non-normal or non-parametric distribution).
• Kurtosis – this metric indicates whether the data are heavily or lightly-tailed, relative to the normal distribution. In other words, how peaked or flat the distribution is.

A large table that indicates all the above for multiple variables can be a very effective way to present your data economically. You can also use colour coding to help make the data more easily digestible.

For categorical data, where you show the percentage of people who chose or fit into a category, for instance, you can either just plain describe the percentages or numbers of people who responded to something or use graphs and charts (such as bar graphs and pie charts) to present your data in this section of the chapter.

When using figures, make sure that you label them simply and clearly , so that your reader can easily understand them. There’s nothing more frustrating than a graph that’s missing axis labels! Keep in mind that although you’ll be presenting charts and graphs, your text content needs to present a clear narrative that can stand on its own. In other words, don’t rely purely on your figures and tables to convey your key points: highlight the crucial trends and values in the text. Figures and tables should complement the writing, not carry it .

Depending on your research aims, objectives and research questions, you may stop your analysis at this point (i.e. descriptive statistics). However, if your study requires inferential statistics, then it’s time to deep dive into those .

Step 6 – Present the inferential statistics

Inferential statistics are used to make generalisations about a population , whereas descriptive statistics focus purely on the sample . Inferential statistical techniques, broadly speaking, can be broken down into two groups .

First, there are those that compare measurements between groups , such as t-tests (which measure differences between two groups) and ANOVAs (which measure differences between multiple groups). Second, there are techniques that assess the relationships between variables , such as correlation analysis and regression analysis. Within each of these, some tests can be used for normally distributed (parametric) data and some tests are designed specifically for use on non-parametric data.

There are a seemingly endless number of tests that you can use to crunch your data, so it’s easy to run down a rabbit hole and end up with piles of test data. Ultimately, the most important thing is to make sure that you adopt the tests and techniques that allow you to achieve your research objectives and answer your research questions .

In this section of the results chapter, you should try to make use of figures and visual components as effectively as possible. For example, if you present a correlation table, use colour coding to highlight the significance of the correlation values, or scatterplots to visually demonstrate what the trend is. The easier you make it for your reader to digest your findings, the more effectively you’ll be able to make your arguments in the next chapter.

Step 7 – Test your hypotheses

If your study requires it, the next stage is hypothesis testing. A hypothesis is a statement , often indicating a difference between groups or relationship between variables, that can be supported or rejected by a statistical test. However, not all studies will involve hypotheses (again, it depends on the research objectives), so don’t feel like you “must” present and test hypotheses just because you’re undertaking quantitative research.

The basic process for hypothesis testing is as follows:

• Specify your null hypothesis (for example, “The chemical psilocybin has no effect on time perception).
• Specify your alternative hypothesis (e.g., “The chemical psilocybin has an effect on time perception)
• Set your significance level (this is usually 0.05)
• Calculate your statistics and find your p-value (e.g., p=0.01)
• Draw your conclusions (e.g., “The chemical psilocybin does have an effect on time perception”)

Finally, if the aim of your study is to develop and test a conceptual framework , this is the time to present it, following the testing of your hypotheses. While you don’t need to develop or discuss these findings further in the results chapter, indicating whether the tests (and their p-values) support or reject the hypotheses is crucial.

Step 8 – Provide a chapter summary

To wrap up your results chapter and transition to the discussion chapter, you should provide a brief summary of the key findings . “Brief” is the keyword here – much like the chapter introduction, this shouldn’t be lengthy – a paragraph or two maximum. Highlight the findings most relevant to your research objectives and research questions, and wrap it up.

Some final thoughts, tips and tricks

Now that you’ve got the essentials down, here are a few tips and tricks to make your quantitative results chapter shine:

• When writing your results chapter, report your findings in the past tense . You’re talking about what you’ve found in your data, not what you are currently looking for or trying to find.
• Structure your results chapter systematically and sequentially . If you had two experiments where findings from the one generated inputs into the other, report on them in order.
• Make your own tables and graphs rather than copying and pasting them from statistical analysis programmes like SPSS. Check out the DataIsBeautiful reddit for some inspiration.
• Once you’re done writing, review your work to make sure that you have provided enough information to answer your research questions , but also that you didn’t include superfluous information.

If you’ve got any questions about writing up the quantitative results chapter, please leave a comment below. If you’d like 1-on-1 assistance with your quantitative analysis and discussion, check out our hands-on coaching service , or book a free consultation with a friendly coach.

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Thank you. I will try my best to write my results.

Awesome content 👏🏾

this was great explaination

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