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Dissertation Methodology – Structure, Example and Writing Guide

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Dissertation Methodology

The methodology section of a dissertation explains the approach, design, and methods you used to conduct your research. This section is critical for demonstrating the rigor and credibility of your study and allows readers to evaluate the reliability and validity of your findings. The methodology should be clear, detailed, and justified, ensuring that anyone reading it understands how and why the research was conducted.

Purpose of a Dissertation Methodology

The methodology section serves several essential purposes:

• Justifies the Research Approach : Explains why specific research methods were chosen and how they align with the research question.
• Describes Data Collection and Analysis : Details the tools, techniques, and procedures used to gather and analyze data.
• Ensures Replicability : Provides enough detail for other researchers to replicate or build on the study.
• Addresses Limitations : Identifies any limitations or constraints of the chosen methodology and their potential impact on results.

Structure of a Dissertation Methodology

A well-organized methodology section is usually structured into five main components: Research Design , Participants/Sampling , Data Collection Methods , Data Analysis , and Ethical Considerations . Some dissertations may include additional sections as needed for specific methods or fields of study.

1. Research Design

Definition : The research design is the overall strategy and framework guiding the study. It outlines whether the research is qualitative, quantitative, or mixed-methods and justifies this choice in relation to the research question.

Example : If studying consumer behavior, a quantitative survey might be appropriate to gather statistical data, while qualitative interviews could provide in-depth insights into motivations.

Typical Components :

• Approach : Qualitative, quantitative, or mixed-methods.
• Research Type : Experimental, observational, survey-based, case study, etc.
• Justification : Explanation of why this design aligns with the research objectives.

2. Participants and Sampling

Definition : This section describes the study population, how participants were chosen, and the sample size. It should include the criteria for inclusion and exclusion, as well as details about recruitment procedures.

Example : For a study on workplace satisfaction, you might select employees from various departments in a company and use a sample size calculated based on statistical power analysis.

• Target Population : The demographic characteristics and scope of the population studied.
• Sampling Method : Probability or non-probability sampling (e.g., random sampling, convenience sampling).
• Sample Size : The number of participants included and justification for this number.

3. Data Collection Methods

Definition : This section describes how data was collected, detailing the tools and techniques used. It should include specifics on instruments (e.g., surveys, interviews, experiments), how they were administered, and why these methods are appropriate for the study.

Example : In a study examining consumer satisfaction, data collection could involve an online survey with closed-ended questions to quantify satisfaction levels.

• Tools/Procedures : Description of instruments, procedures, and protocols.
• Type of Data Collected : Qualitative (e.g., interviews, focus groups) or quantitative (e.g., surveys, experiments).
• Rationale : Explanation of why these data collection methods were chosen.

4. Data Analysis

Definition : Data analysis involves explaining the methods and techniques used to interpret the collected data. This includes any statistical or thematic analysis methods applied, as well as software used.

Example : For quantitative data, you might use software like SPSS or R for statistical analysis, while qualitative data could be analyzed using NVivo to identify key themes.

• Techniques : Statistical tests for quantitative data (e.g., t-tests, regression analysis) or coding for qualitative data.
• Software : Mention any software used, such as SPSS, R, or NVivo.
• Justification : Explanation of why these analysis methods are appropriate for the research question and data.

5. Ethical Considerations

Definition : Ethical considerations involve addressing any ethical issues related to the study, such as informed consent, confidentiality, and participant welfare.

Example : In a study involving human subjects, ethical considerations might include obtaining informed consent and ensuring data anonymity.

• Informed Consent : Description of how participants were informed about the study and consent obtained.
• Confidentiality : Explanation of measures taken to protect participants’ privacy.
• Risk Mitigation : Any procedures in place to protect participants from harm.

Example of a Dissertation Methodology

Here is a sample methodology for a hypothetical dissertation examining the impact of online learning on student engagement.

Title : The Impact of Online Learning Platforms on Student Engagement in Higher Education

• This study employs a mixed-methods approach, combining quantitative surveys and qualitative interviews to obtain a comprehensive understanding of student engagement in online learning. The quantitative component provides generalizable data, while the qualitative component offers in-depth insights.
• Participants include 300 undergraduate students enrolled in online courses at three universities. A random sampling method was used to ensure a representative sample across different disciplines.
• Data collection involved an online survey with closed-ended questions on engagement, followed by semi-structured interviews with a subset of 20 students to explore their experiences more deeply.
• Quantitative data were analyzed using descriptive statistics and regression analysis in SPSS to assess relationships between variables. Qualitative data were coded and thematically analyzed using NVivo to identify key themes.
• Ethical approval was obtained from each institution’s review board. Participants were informed of the study’s purpose, and informed consent was obtained. All responses were anonymized to ensure confidentiality.

Writing Guide for Dissertation Methodology

Step 1: choose the research design and justify it.

Begin by identifying the research design that best suits your research question. Justify your choice based on how it aligns with the study’s objectives and the type of data needed.

Example : For a dissertation on the effects of diet on physical health, a longitudinal study might be chosen to observe changes over time, with justification based on the need to monitor long-term health outcomes.

Step 2: Describe the Sampling Process

Explain the target population, sampling method, and sample size. Justify your choices by explaining how they ensure the data will be representative and reliable.

Example : A study on employee motivation might choose a random sampling method to prevent bias, ensuring that findings can be generalized to a broader workforce.

Step 3: Outline Data Collection Methods

Provide a detailed description of how data was collected, including any instruments, techniques, and procedures. Explain why these methods are appropriate for capturing the data needed to answer the research question.

Example : If measuring customer satisfaction, an online survey may be selected due to its efficiency and reach, and its questions might be chosen to quantify specific satisfaction dimensions.

Step 4: Explain Data Analysis Procedures

Describe how you analyzed the data and justify the chosen techniques. Include information on any software used and specific statistical or thematic analysis methods applied.

Example : For a quantitative study, you might perform regression analysis to explore relationships between variables. In qualitative studies, you might use thematic coding to identify patterns.

Step 5: Address Ethical Considerations

Identify any ethical issues related to your study and describe how you addressed them. Ethical considerations are crucial for studies involving human subjects, as they help protect participant rights.

Example : For a study involving interviews, explain how participants were assured of confidentiality and provided with the option to withdraw at any time.

Tips for Writing an Effective Methodology

• Be Clear and Detailed : Provide enough detail so that another researcher could replicate the study based on your description.
• Use Justification for Every Choice : Explain why each methodological choice is suitable for your research objectives.
• Stay Objective and Neutral : Avoid using personal opinions or biases; focus on describing your research design and methods factually.
• Organize Logically : Follow a logical flow, usually beginning with research design, followed by sampling, data collection, data analysis, and ethical considerations.
• Keep It Concise but Comprehensive : Avoid unnecessary detail, but ensure you cover all relevant information needed to understand your methodology.

Common Pitfalls to Avoid

• Vagueness : Avoid vague language and provide specific details for each section.
• Lack of Justification : Justify all choices, from sampling methods to analytical techniques, to demonstrate thoughtfulness and rigor.
• Overcomplicating Language : Use clear, straightforward language rather than overly technical jargon to improve readability.
• Ignoring Limitations : Acknowledge any limitations in your methodology and discuss how they may impact the results.

The methodology section is a vital part of a dissertation, outlining the design, participants, data collection, data analysis, and ethical considerations. By following a structured approach, providing justifications for each choice, and ensuring clarity, you can write a robust methodology that supports the credibility and reliability of your research. A well-written methodology allows readers to evaluate the validity of your study and serves as a foundation for replicating or expanding upon your work.

• Creswell, J. W., & Creswell, J. D. (2018). Research Design: Qualitative, Quantitative, and Mixed Methods Approaches (5th ed.). SAGE Publications.
• Flick, U. (2018). An Introduction to Qualitative Research (6th ed.). SAGE Publications.
• Silverman, D. (2016). Qualitative Research (4th ed.). SAGE Publications.
• Yin, R. K. (2017). Case Study Research and Applications: Design and Methods (6th ed.). SAGE Publications.
• Saunders, M., Lewis, P., & Thornhill, A. (2016). Research Methods for Business Students (7th ed.). Pearson.

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Writing the Research Methodology Section of Your Thesis

This article explains the meaning of research methodology and the purpose and importance of writing a research methodology section or chapter for your thesis paper. It discusses what to include and not include in a research methodology section, the different approaches to research methodology that can be used, and the steps involved in writing a robust research methodology section.

What is a thesis research methodology?

A thesis research methodology explains the type of research performed, justifies the methods that you chose   by linking back to the literature review , and describes the data collection and analysis procedures. It is included in your thesis after the Introduction section . Most importantly, this is the section where the readers of your study evaluate its validity and reliability.

What should the research methodology section in your thesis include?

• The aim of your thesis
• An outline of the research methods chosen (qualitative, quantitative, or mixed methods)
• Background and rationale for the methods chosen, explaining why one method was chosen over another
• Methods used for data collection and data analysis
• Materials and equipment used—keep this brief
• Difficulties encountered during data collection and analysis. It is expected that problems will occur during your research process. Use this as an opportunity to demonstrate your problem-solving abilities by explaining how you overcame all obstacles. This builds your readers’ confidence in your study findings.
• A brief evaluation of your research explaining whether your results were conclusive and whether your choice of methodology was effective in practice

What should not be included in the research methodology section of your thesis?

• Irrelevant details, for example, an extensive review of methodologies (this belongs in the literature review section) or information that does not contribute to the readers’ understanding of your chosen methods
• A description of basic procedures
• Excessive details about materials and equipment used. If an extremely long and detailed list is necessary, add it as an appendix

Types of methodological approaches

The choice of which methodological approach to use depends on your field of research and your thesis question. Your methodology should establish a clear relationship with your thesis question and must also be supported by your  literature review . Types of methodological approaches include quantitative, qualitative, or mixed methods. 

Quantitative studies generate data in the form of numbers   to count, classify, measure, or identify relationships or patterns. Information may be collected by performing experiments and tests, conducting surveys, or using existing data. The data are analyzed using  statistical tests and presented as charts or graphs. Quantitative data are typically used in the Sciences domain.

For example, analyzing the effect of a change, such as alterations in electricity consumption by municipalities after installing LED streetlights.

The raw data will need to be prepared for statistical analysis by identifying variables and checking for missing data and outliers. Details of the statistical software program used (name of the package, version number, and supplier name and location) must also be mentioned.

Qualitative studies gather non-numerical data using, for example, observations, focus groups, and in-depth interviews.   Open-ended questions are often posed. This yields rich, detailed, and descriptive results. Qualitative studies are usually   subjective and are helpful for investigating social and cultural phenomena, which are difficult to quantify. Qualitative studies are typically used in the Humanities and Social Sciences (HSS) domain.

For example, determining customer perceptions on the extension of a range of baking utensils to include silicone muffin trays.

The raw data will need to be prepared for analysis by coding and categorizing ideas and themes to interpret the meaning behind the responses given.

Mixed methods use a combination of quantitative and qualitative approaches to present multiple findings about a single phenomenon. T his enables triangulation: verification of the data from two or more sources.

Data collection

Explain the rationale behind the sampling procedure you have chosen. This could involve probability sampling (a random sample from the study population) or non-probability sampling (does not use a random sample).

For quantitative studies, describe the sampling procedure and whether statistical tests were used to determine the  sample size .

Following our example of analyzing the changes in electricity consumption by municipalities after installing LED streetlights, you will need to determine which municipal areas will be sampled and how the information will be gathered (e.g., a physical survey of the streetlights or reviewing purchase orders).

For qualitative research, describe how the participants were chosen and how the data is going to be collected.

Following our example about determining customer perceptions on the extension of a range of baking utensils to include silicone muffin trays, you will need to decide the criteria for inclusion as a study participant (e.g., women aged 20–70 years, bakeries, and bakery supply shops) and how the information will be collected (e.g., interviews, focus groups, online or in-person questionnaires, or video recordings) .

Data analysis

For quantitative research, describe what tests you plan to perform and why you have chosen them. Popular data analysis methods in quantitative research include:

• Descriptive statistics (e.g., means, medians, modes)
• Inferential statistics (e.g., correlation, regression, structural equation modeling)

For qualitative research, describe how the data is going to be analyzed and justify your choice. Popular data analysis methods in qualitative research include:

• Qualitative content analysis
• Thematic analysis
• Discourse analysis
• Narrative analysis
• Grounded theory
• Interpretative phenomenological analysis (IPA)

Evaluate and justify your methodological choices

You need to convince the reader that you have made the correct methodological choices. Once again, this ties back to your thesis question and  literature review . Write using a persuasive tone, and use  rhetoric to convince the reader of the quality, reliability, and validity of your research.

Ethical considerations

• The young researcher should maintain objectivity at all times
• All participants have the right to privacy and anonymity
• Research participation must be voluntary
• All subjects have the right to withdraw from the research at any time
• Consent must be obtained from all participants before starting the research
• Confidentiality of data provided by individuals must be maintained
• Consider how the interpretation and reporting of the data will affect the participants

Tips for writing a robust thesis research methodology

• Determine what kind of knowledge you are trying to uncover. For example, subjective or objective, experimental or interpretive.
• A thorough literature review is the best starting point for choosing your methods.
• Ensure that there is continuity throughout the research process. The authenticity of your research depends upon the validity of the research data, the reliability of your data measurements, and the time taken to conduct the analysis.
• Choose a research method that is achievable. Consider the time and funds available, feasibility, ethics, and access and availability of equipment to measure the phenomenon or answer your thesis question correctly.
• If you are struggling with a concept, ask for help from your supervisor, academic staff members, or fellow students.

A thesis methodology justifies why you have chosen a specific approach to address your thesis question. It explains how you will collect the data and analyze it. Above all, it allows the readers of your study to evaluate its validity and reliability.

A thesis is the most crucial document that you will write during your academic studies. For professional thesis editing and thesis proofreading services, visit  Enago Thesis Editing for more information.

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Introduce your methodological approach , for example, quantitative, qualitative, or mixed methods.

Explain why your chosen approach is relevant to the overall research design and how it links with your  thesis question.

Justify your chosen method and why it is more appropriate than others.

Provide background information on methods that may be unfamiliar to readers of your thesis.

Introduce the tools that you will use for data collection , and explain how you plan to use them (e.g., surveys, interviews, experiments, or existing data).

Explain how you will analyze your results. The type of analysis used depends on the methods you chose. For example, exploring theoretical perspectives to support your explanation of observed behaviors in a qualitative study or using statistical analyses in a quantitative study.

Mention any research limitations. All studies are expected to have limitations, such as the sample size, data collection method, or equipment. Discussing the limitations justifies your choice of methodology despite the risks. It also explains under which conditions the results should be interpreted and shows that you have taken a holistic approach to your study.

What is the difference between methodology and methods? +

Methodology  refers to the overall rationale and strategy of your thesis project. It involves studying the theories or principles behind the methods used in your field so that you can explain why you chose a particular method for your research approach.  Methods , on the other hand, refer to how the data were collected and analyzed (e.g., experiments, surveys, observations, interviews, and statistical tests).

What is the difference between reliability and validity? +

Reliability refers to whether a measurement is consistent (i.e., the results can be reproduced under the same conditions).  Validity refers to whether a measurement is accurate (i.e., the results represent what was supposed to be measured). For example, when investigating linguistic and cultural guidelines for administration of the Preschool Language Scales, Fifth Edition (PLS5) in Arab-American preschool children, the normative sample curves should show the same distribution as a monolingual population, which would indicate that the test is valid. The test would be considered reliable if the results obtained were consistent across different sampling sites.

What tense is used to write the methods section? +

The methods section is written in the past tense because it describes what was done.

What software programs are recommended for statistical analysis? +

Recommended programs include Statistical Analysis Software (SAS) ,  Statistical Package for the Social Sciences (SPSS) ,  JMP ,  R software,  MATLAB , Microsoft Excel,  GraphPad Prism , and  Minitab .

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What Is Research Methodology?

I f you’re new to formal academic research, it’s quite likely that you’re feeling a little overwhelmed by all the technical lingo that gets thrown around. And who could blame you – “research methodology”, “research methods”, “sampling strategies”… it all seems never-ending!

In this post, we’ll demystify the landscape with plain-language explanations and loads of examples (including easy-to-follow videos), so that you can approach your dissertation, thesis or research project with confidence. Let’s get started.

Research Methodology 101

• What exactly research methodology means
• What qualitative , quantitative and mixed methods are
• What sampling strategy is
• What data collection methods are
• What data analysis methods are
• How to choose your research methodology
• Example of a research methodology

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What is research methodology?

Research methodology simply refers to the practical “how” of a research study. More specifically, it’s about how  a researcher  systematically designs a study  to ensure valid and reliable results that address the research aims, objectives and research questions . Specifically, how the researcher went about deciding:

• What type of data to collect (e.g., qualitative or quantitative data )
• Who  to collect it from (i.e., the sampling strategy )
• How to  collect  it (i.e., the data collection method )
• How to  analyse  it (i.e., the data analysis methods )

Within any formal piece of academic research (be it a dissertation, thesis or journal article), you’ll find a research methodology chapter or section which covers the aspects mentioned above. Importantly, a good methodology chapter explains not just   what methodological choices were made, but also explains  why they were made. In other words, the methodology chapter should justify  the design choices, by showing that the chosen methods and techniques are the best fit for the research aims, objectives and research questions. 

So, it’s the same as research design?

Not quite. As we mentioned, research methodology refers to the collection of practical decisions regarding what data you’ll collect, from who, how you’ll collect it and how you’ll analyse it. Research design, on the other hand, is more about the overall strategy you’ll adopt in your study. For example, whether you’ll use an experimental design in which you manipulate one variable while controlling others. You can learn more about research design and the various design types here .

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What are qualitative, quantitative and mixed-methods?

Qualitative, quantitative and mixed-methods are different types of methodological approaches, distinguished by their focus on words , numbers or both . This is a bit of an oversimplification, but its a good starting point for understanding.

Let’s take a closer look.

Qualitative research refers to research which focuses on collecting and analysing words (written or spoken) and textual or visual data, whereas quantitative research focuses on measurement and testing using numerical data . Qualitative analysis can also focus on other “softer” data points, such as body language or visual elements.

It’s quite common for a qualitative methodology to be used when the research aims and research questions are exploratory  in nature. For example, a qualitative methodology might be used to understand peoples’ perceptions about an event that took place, or a political candidate running for president. 

Contrasted to this, a quantitative methodology is typically used when the research aims and research questions are confirmatory  in nature. For example, a quantitative methodology might be used to measure the relationship between two variables (e.g. personality type and likelihood to commit a crime) or to test a set of hypotheses .

As you’ve probably guessed, the mixed-method methodology attempts to combine the best of both qualitative and quantitative methodologies to integrate perspectives and create a rich picture. If you’d like to learn more about these three methodological approaches, be sure to watch our explainer video below.

What is sampling strategy?

Simply put, sampling is about deciding who (or where) you’re going to collect your data from . Why does this matter? Well, generally it’s not possible to collect data from every single person in your group of interest (this is called the “population”), so you’ll need to engage a smaller portion of that group that’s accessible and manageable (this is called the “sample”).

How you go about selecting the sample (i.e., your sampling strategy) will have a major impact on your study.  There are many different sampling methods  you can choose from, but the two overarching categories are probability   sampling and  non-probability   sampling .

Probability sampling  involves using a completely random sample from the group of people you’re interested in. This is comparable to throwing the names all potential participants into a hat, shaking it up, and picking out the “winners”. By using a completely random sample, you’ll minimise the risk of selection bias and the results of your study will be more generalisable  to the entire population. 

Non-probability sampling , on the other hand,  doesn’t use a random sample . For example, it might involve using a convenience sample, which means you’d only interview or survey people that you have access to (perhaps your friends, family or work colleagues), rather than a truly random sample. With non-probability sampling, the results are typically not generalisable .

To learn more about sampling methods, be sure to check out the video below.

What are data collection methods?

As the name suggests, data collection methods simply refers to the way in which you go about collecting the data for your study. Some of the most common data collection methods include:

• Interviews (which can be unstructured, semi-structured or structured)
• Focus groups and group interviews
• Surveys (online or physical surveys)
• Observations (watching and recording activities)
• Biophysical measurements (e.g., blood pressure, heart rate, etc.)
• Documents and records (e.g., financial reports, court records, etc.)

The choice of which data collection method to use depends on your overall research aims and research questions , as well as practicalities and resource constraints. For example, if your research is exploratory in nature, qualitative methods such as interviews and focus groups would likely be a good fit. Conversely, if your research aims to measure specific variables or test hypotheses, large-scale surveys that produce large volumes of numerical data would likely be a better fit.

What are data analysis methods?

Data analysis methods refer to the methods and techniques that you’ll use to make sense of your data. These can be grouped according to whether the research is qualitative  (words-based) or quantitative (numbers-based).

Popular data analysis methods in qualitative research include:

• Qualitative content analysis
• Thematic analysis
• Discourse analysis
• Narrative analysis
• Interpretative phenomenological analysis (IPA)
• Visual analysis (of photographs, videos, art, etc.)

Qualitative data analysis all begins with data coding , after which an analysis method is applied. In some cases, more than one analysis method is used, depending on the research aims and research questions . In the video below, we explore some  common qualitative analysis methods, along with practical examples.  

• Descriptive statistics (e.g. means, medians, modes )
• Inferential statistics (e.g. correlation, regression, structural equation modelling)

How do I choose a research methodology?

As you’ve probably picked up by now, your research aims and objectives have a major influence on the research methodology . So, the starting point for developing your research methodology is to take a step back and look at the big picture of your research, before you make methodology decisions. The first question you need to ask yourself is whether your research is exploratory or confirmatory in nature.

If your research aims and objectives are primarily exploratory in nature, your research will likely be qualitative and therefore you might consider qualitative data collection methods (e.g. interviews) and analysis methods (e.g. qualitative content analysis). 

Conversely, if your research aims and objective are looking to measure or test something (i.e. they’re confirmatory), then your research will quite likely be quantitative in nature, and you might consider quantitative data collection methods (e.g. surveys) and analyses (e.g. statistical analysis).

Designing your research and working out your methodology is a large topic, which we cover extensively on the blog . For now, however, the key takeaway is that you should always start with your research aims, objectives and research questions (the golden thread). Every methodological choice you make needs align with those three components. 

Example of a research methodology chapter

In the video below, we provide a detailed walkthrough of a research methodology from an actual dissertation, as well as an overview of our free methodology template .

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Thanks for the feedback, Matobela. Good luck with your research methodology.

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Thanks for the kind words, Edward. Good luck with your research!

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Great to hear that, Ngwisa. Good luck with your research methodology!

Thank you for keeping your presentation simples and short and covering key information for research methodology. My key takeaway: Start with defining your research objective the other will depend on the aims of your research question.

My name is Zanele I would like to be assisted with my research , and the topic is shortage of nursing staff globally want are the causes , effects on health, patients and community and also globally

Thanks for making it simple and clear. It greatly helped in understanding research methodology. Regards.

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I was given an assignment to research 2 publications and describe their research methodology? I don’t know how to start this task can someone help me?

Sure. You’re welcome to book an initial consultation with one of our Research Coaches to discuss how we can assist – https://gradcoach.com/book/new/ .

Thanks a lot I am relieved of a heavy burden.keep up with the good work

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Short but sweet.Thank you

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I’m currently working on my Ph.D. thesis. Thanks a lot, Derek and Kerryn, Well-organized sequences, facilitate the readers’ following.

great article for someone who does not have any background can even understand

I am a bit confused about research design and methodology. Are they the same? If not, what are the differences and how are they related?

Thanks in advance.

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Am a new researcher trying to learn how best to write a research proposal. I find your article spot on and want to download the free template but finding difficulties. Can u kindly send it to my email, the free download entitled, “Free Download: Research Proposal Template (with Examples)”.

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how do i reference this?

MLA Jansen, Derek, and Kerryn Warren. “What (Exactly) Is Research Methodology?” Grad Coach, June 2021, gradcoach.com/what-is-research-methodology/.

APA Jansen, D., & Warren, K. (2021, June). What (Exactly) Is Research Methodology? Grad Coach. https://gradcoach.com/what-is-research-methodology/

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research methodologies

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hello sir/ma’am, i didn’t find yet that what type of research methodology i am using. because i am writing my report on CSR and collect all my data from websites and articles so which type of methodology i should write in dissertation report. please help me. i am from India.

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Thank you very much for the presentation. I am an MPH student with the Adventist University of Africa. I have successfully completed my theory and starting on my research this July. My topic is “Factors associated with Dental Caries in (one District) in Botswana. I need help on how to go about this quantitative research

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I am nkasa lizwi doing my research proposal on honors with the university of Walter Sisulu Komani I m on part 3 now can you assist me.my topic is: transitional challenges faced by educators in intermediate phase in the Alfred Nzo District.

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How to Write a Research Methodology Section for a Dissertation and Thesis

Research methodology is about the data collection and analysis methods employed in your research. Thus, this section addresses what you performed and how you did it, letting readers assess the reliability and validity of your study and is a critical part of your thesis or dissertation.

What is research methodology?

Research methodology is about the data collection and analysis methods employed in your research. Thus, the purpose of this section is to address what you performed and how you did it, letting readers assess the reliability and validity of your study and is a critical part of your thesis or dissertation.

Ideally, this section should cover:

Type of the study

Data collection and analysis

Materials used in the study

The reasons for selecting these methods.

Here are some quick tips:

Your methodology section should be in the past tense.

Your academic style guides may offer specified guidelines on determining what to cover for various studies.

They may also provide guidelines for your methodology section (for example, APA 7, MLA, Harvard, and so forth).

What makes the method section critical?

This section allows you to discuss how you performed your research and choose the methods utilized. You can also depict how much effort you put into your study and how your study can be repeated if needed. Thus, it is about the legitimacy of your research, disclosing where it stands, and providing the readers with the opportunity to find answers to questions or critiques. For an effective methods section, you should pursue the following steps.

1. Explain your methodology

It would be best to begin by presenting your overall research perspective with two available options.

Choice 1: Begin your “what” question

What research problem or question did you explore?

Aim to define the traits of a specific subject.

Investigate not deeply studied issue?

Build a causal relationship?

More importantly, what are the data required to achieve this objective?

Do you have quantitative data, qualitative data, or their mixture? 

Did you collect the primary data, or did somebody else collect secondary data?

Did you gather data by controlling and deploying variables or have descriptive data via observations?

Choice 2: Start with your “why” question

Some disciplines may allow you to begin discussing your methodology's rationale and assumptions. Put differently, why did you select these methods for your research?

Why do you think it is one of the best ways to address your  research question ?

Do you feel it is a standard methodology in your area, or does it need verification?

Are any ethical considerations parts of your selections?

How can you validate your study results?

2. Specify your data collection methods

After introducing your reader to your methodological approach, sharing full details about your data collection methods is next.

Quantitative methods

You should specify quantitative research methods in enough detail so that another researcher can replicate your study. Only then can your results be generalized. You must explain how you put your concepts to function and metered your variables. On top of that, you must discuss how you accomplished your sampling and the procedures and materials you employed.

Qualitative methods

Qualitative methods differ from quantitative ones as they are usually more flexible and subjective. Therefore, explaining the methodology choices you made is critical.

Make sure you elaborate on the criteria you employed to select your data, the context of your conducted research, and your role in data collection, such as participant or observer.

Interviews or focus groups

You must describe the place, the time, and the way the interviews were conducted. It would be best if you addressed the following questions.

How did you determine and choose participants?

How many participants partook in the study?

What were the types of interviews (Were they structured, semi-structured, or unstructured)?

What were the durations of the interviews?

How did you record the interviews?

Participant observation

For participant observation, you must specify where, when, and how you conducted the observation or, in some cases, ethnography. The relevant questions pursue.

Describe what group or community did you follow? 

What procedures did you pursue to access this group? What was your role in the community?

How long did the research last? Where was the study’s location?

What did you use to record data (audiovisual recordings or note-taking)?

Mixed methods

When you combine quantitative and qualitative approaches, you have  mixed methods . Should a quantitative or qualitative study alone is inadequate to address your research question, you need mixed methods.

Consider that mixed methods research is beyond gathering both types of data. Instead, it should involve careful consideration and integrating two kinds of data into robust and solid conclusions.

Mixed methods are not very common as they demand strenuous effort to succeed. In case you choose to follow mixed methods, make sure that you robustly justify them.

3. Label your analysis method

The next step involves disclosing how you processed and analyzed your data. Introducing or discussing any of your results at this step is inappropriate. Excessive detail may not be helpful: Be careful!

Your analysis for quantitative research will depend on numbers. It could consist of checking for missing data, dealing with outliers, and transforming variables if needed. Thus, you may include the following in your methods section:

What did you do to prepare the data before analyzing it?

Which statistical software do you use? They might include SAS, SPSS, Stata, Microsoft Excel, or R.

What were the statistical procedures you employed to analyze your data? They would cover a two-tailed t-test, simple linear regression, ANOVA, etc.

Language, images, and observations as part of textual analysis form qualitative methods.

Particular methods might involve content analysis, thematic analysis, and discourse analysis.

When we integrate qualitative and quantitative approaches into one coherent analytical process, we have mixed research methods, combining the above two research methods.

4. Assess and verify the methodological choices you chose

Your methodology section should explicitly depict why you selected the employed methods. It becomes increasingly relevant if you have not used standard approaches in your study. Should it be the case, discuss why other methods were inappropriate for your objectives and depict how this approach introduces novel knowledge or understanding.

Irrespective of the case, your reader should comprehend the way you established to be successful concerning your methodology’s design. Extremely relevant is how your methods should result in valid and reliable conclusions while simultaneously allocating the analysis of your results' meaning, significance, and relevance for the discussion.

How can editing and proofreading advance your thesis and dissertation research methodology?

Editing and proofreading your  research methodology is beyond critical . A  professional editing and proofreading service  with highly trained and experienced experts with Ph.D. in their fields will edit or proofread your thesis or dissertation  methodology  with utmost care. Their suggestions will substantially improve your methodology section.

How can you write a solid methodology chapter?

Your objective should always be beyond describing your methods. It should disclose how and why you applied them. Do not neglect that demonstrating how rigorously your research was conducted and replicated is exceedingly relevant.

a. Concentrate on your objectives and research questions

You must explicitly explain why your methods fit your objectives and persuade the reader that your chosen approach was one of the best to address your problem statement and research questions.

b. Cite pertinent sources

You can reinforce your methodology by citing extant research in your field. It will help you depict that you pursued established practices, discuss how you decided on your approach, and offer a new methodological approach to fill a gap in the relevant literature.

c. Pen for your readers

Suppose you use standard methods in your discipline. You may not need to present much background or justification. You should decide on how much information you need to give, which should not be excessive.

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This article explains how to write a research methodology for a dissertation and thesis.  To give you an opportunity to practice proofreading, we have left a few spelling, punctuation, or grammatical errors in the text. See if you can spot them! If you spot the errors correctly, you will be entitled to a 10% discount.

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After a concise overture of the concerned discipline in the introductory section of a research paper or dissertation, the literature review should begin by delineating the significance of and the most critical works in that discipline. This handout provides six easy-to-follow steps for an impeccable literature review.

Track changes function in Microsoft Word 2021 for macOS is a very handy tool to track your revisions, corrections, changes, edits, and even suggestions and comments while you’re reviewing a document. When an editor or proofreader wants to return a revised document to a client with his/her all revisions visibly marked, and so clients can accept or reject, or the suggested changes appear in the margins of the returned document, he/she needs Track Changes function of Microsoft Word.

After you finish your thesis, what is next is editing your thesis. Rather than sending it to your friends or professors, a better option is to find a professional editing and proofreading service. They usually have trained and experienced experts, have Ph.D. in their fields, and will edit your thesis without prejudice. Their suggestions will improve your thesis's content and structure, rendering it much more effective.

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Guide for Thesis Research

• Introduction to the Thesis Process
• Project Planning
• Literature Review
• Theoretical Frameworks
• Research Methodology
• GC Honors Program Theses
• Thesis Submission Instructions This link opens in a new window
• Accessing Guilford Theses from 1898 to 2020 This link opens in a new window

Basics of Methodology

Research is a process of inquiry that is carried out in a pondered, organized, and strategic manner. In order to obtain high quality results, it is important to understand methodology.

Research methodology refers to how your project will be designed, what you will observe or measure, and how you will collect and analyze data. The methods you choose must be appropriate for your field and for the specific research questions you are setting out to answer.

A strong understanding of methodology will help you:

• apply appropriate research techniques
• design effective data collection instruments
• analyze and interpret your data
• develop well-founded conclusions

Below, you will find resources that mostly cover general aspects of research methodology. In the left column, you will find resources that specifically cover qualitative, quantitative, and mixed methods research.

General Works on Methodology

Qualitative Research

Quantitative Research

Mixed Methods Research

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• Last Updated: Jul 22, 2024 10:48 AM
• URL: https://library.guilford.edu/thesis-guide

Library Guides

Dissertations 4: methodology: start.

• Introduction & Philosophy
• Methodology

The Methodology Chapter

The methodology chapter flows organically from the literature review. This means that at this stage you should have reviewed the literature in your field of study, analysed research that has been conducted and highlighted how it was conducted. In turn, this should reflect the foundation of your own project as you will have to link it to your chosen research method.  

The methodology chapter also involves describing your method in detail and justifying the approach you are going to adopt, taking into consideration the limitations and ethical implications of your model. Your description should be detailed enough that someone reading your methodology can recreate your approach. 

Therefore, the methodology requires you to:

• describe your methods
• demonstrate a clear connection between your research question (or hypothesis) and the means by which you will reach your conclusions 
• present justification (strengths) and limitations (weaknesses) of your methods  

What are Methods & Methodology?

Methods 

In order to appreciate what methods are, let us remember what research is about. Research can be summarised into three points (Cottrell, 2014, p9): 

A question 

Methods of arriving at an answer 

The answer 

Thus, methods are the means to research and answer the research question, or test the hypothesis. Methods include techniques and procedures used to obtain and analyse data (Saunders, Lewis and Thornhill, 2015, p4). Your methods can consist of primary and secondary sources, qualitative, quantitative and mixed methods, as illustrated in this guide.  

Methodology 

Methodology is sometimes used interchangeably with methods, or as the set of methods used in a research. More specifically, as the name would suggest, methodo-logy is the logos, the reasoning, on the methods. It is also referred to as the theory of how research should be undertaken (Saunders, Lewis and Thornhill, 2015, p4). This is why you normally would have a methodology, rather than methods, chapter in a dissertation.  

First Key Tip

We hope this guide will be helpful, but it is of fundamental importance that you also use a  research methods book  (or other authoritative source) for your discipline . The book will guide you on best methods for your research, give you practical guidance, and present critical insights and limitations of the methods.

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Writing the Dissertation - Guides for Success: Methodology

• Writing the Dissertation Homepage
• Overview and Planning
• Research Question
• Literature Review
• Methodology
• Results and Discussion
• Getting Started
• What to Avoid

Overview of writing the methodology

The methodology chapter precisely outlines the research method(s) employed in your dissertation and considers any relevant decisions you made, and challenges faced, when conducting your research. Getting this right is crucial because it lays the foundation for what’s to come: your results and discussion.

Disciplinary differences

Please note: this guide is not specific to any one discipline. The methodology can vary depending on the nature of the research and the expectations of the school or department. Please adapt the following advice to meet the demands of your dissertation and the expectations of your school or department. Consult your supervisor for further guidance; you can also check out our  Writing Across Subjects guide .

Guide contents

As part of the Writing the Dissertation series, this guide covers the most common conventions found in a methodology chapter, giving you the necessary knowledge, tips and guidance needed to impress your markers!  The sections are organised as follows:

• Getting Started  - Defines the methodology and its core characteristics.
• Structure  - Provides a detailed walk-through of common subsections or components of the methodology.
• What to Avoid  - Covers a few frequent mistakes you'll want to...avoid!
• FAQs  - Guidance on first- vs. third-person, secondary literature and more.
• Checklist  - Includes a summary of key points and a self-evaluation checklist.

Training and tools

• The Academic Skills team has recorded a Writing the Dissertation workshop series to help you with each section of a standard dissertation, including a video on writing the method/methodology .
• For more on methods and methodologies, you can check out USC's methodology research guide  and Huddersfield's guide to writing the methodology of an undergraduate dissertation .
• The dissertation planner tool can help you think through the timeline for planning, research, drafting and editing.
• iSolutions offers training and a Word template to help you digitally format and structure your dissertation.

What is the methodology?

The methodology of a dissertation is like constructing a house of cards. Having strong and stable foundations for your research relies on your ability to make informed and rational choices about the design of your study. Everything from this point on – your results and discussion –  rests on these decisions, like the bottom layer of a house of cards.

The methodology is where you explicitly state, in relevant detail, how you conducted your study in direct response to your research question(s) and/or hypotheses. You should work through the linear process of devising your study to implementing it, covering the important choices you made and any potential obstacles you faced along the way.

Methods or methodology?

Some disciplines refer to this chapter as the research methods , whilst others call it the methodology . The two are often used interchangeably, but they are slightly different:

• The methods chapter outlines the techniques used to conduct the research and the specific steps taken throughout the research process.
• The methodology also outlines how the research was conducted, but is particularly interested in the philosophical underpinning that shapes the research process. As indicated by the suffix, -ology , meaning the study of something, the methodology is like the study of research, as opposed to simply stating how the research was conducted.

This guide focuses on the methodology, as opposed to the methods, although the content and guidance can be tailored to a methods chapter. Every dissertation is different and every methodology has its own nuances, so ensure you adapt the content here to your research and always consult your supervisor for more detailed guidance.

What are my markers looking for?

Your markers are looking   for your understanding of the complex process behind original (see definition) research. They are assessing your ability to...

• Demonstrate   an understanding of the impact that methodological choices can have on the reliability and validity of your findings, meaning you should engage with ‘why’ you did that, as opposed to simply ‘what’ you did.
• Make   informed methodological choices that clearly relate to your research question(s).

But what does it mean to engage in 'original' research? Originality doesn’t strictly mean you should be inventing something entirely new. Originality comes in many forms, from updating the application of a theory, to adapting a previous experiment for new purposes – it’s about making a worthwhile contribution.

Structuring your methodology

The methodology chapter should outline the research process undertaken, from selecting the method to articulating the tool or approach adopted to analyse your results. Because you are outlining this process, it's important that you structure your methodology in a linear way, showing how certain decisions have impacted on subsequent choices.

Scroll to continue reading, or click a link below to jump immediately to that section:

The 'research onion'

To ensure you write your methodology in a linear way, it can be useful to think of the methodology in terms of layers, as shown in the figure below.

Figure: 'Research onion' from Saunders et al. (2007).

You don't need to precisely follow these exact layers as some won't be relevant to your research. However, the layered 'out to in' structure developed by Saunders et al. (2007) is appropriate for any methodology chapter because it guides your reader through the process in a linear fashion, demonstrating how certain decisions impacted on others. For example, you need to state whether your research is qualitative, quantitative or mixed before articulating your precise research method. Likewise, you need to explain how you collected your data before you inform the reader of how you subsequently analysed that data.

Using this linear approach from 'outer' layer to 'inner' layer, the next sections will take you through the most common layers used to structure a methodology chapter.

Introduction and research outline

Like any chapter, you should open your methodology with an introduction. It's good to start by briefly restating the research problem, or gap, that you're addressing, along with your research question(s) and/or hypotheses. Following this, it's common to provide a very condensed statement that outlines the most important elements of your research design. Here's a short example:

This study adopted qualitative research through a series of semi-structured interviews with seven experienced industry professionals.

Like any other introduction, you can then provide a brief statement outlining what the chapter is about and how it's structured (e.g., an essay map ).

Restating the research problem (or gap) and your research question(s) and/or hypotheses creates a natural transition from your previous review of the literature - which helped you to identify the gap or problem - to how you are now going to address such a problem. Your markers are also going to assess the relevance and suitability of your method and methodological choices against your research question(s), so it's good to 'frame' the entire chapter around the research question(s) by bringing them to the fore.

Research philosophy

A research philosophy is an underlying belief that shapes the way research is conducted. For this reason, as featured in the 'research onion' above, the philosophy should be the outermost layer - the first methodological issue you deal with following the introduction and research outline - because every subsequent choice, from the method employed to the way you analyse data, is directly influenced by your philosophical stance.

You can say something about other philosophies, but it's best to directly relate this to your research and the philosophy you have selected - why the other philosophy isn't appropriate for you to adopt, for instance. Otherwise, explain to your reader the philosophy you have selected (using secondary literature), its underlying principles, and why this philosophy, therefore, is particularly relevant to your research.

The research philosophy is sometimes featured in a methodology chapter, but not always. It depends on the conventions within your school or discipline , so only include this if it's expected.

The reason for outlining the research philosophy is to show your understanding of the role that your chosen philosophy plays in shaping the design and approach of your research study. The philosophy you adopt also indicates your worldview (in the context of this research), which is an important way of highlighting the role you, the researcher, play in shaping new knowledge.

Research method

This is where you state whether you're doing qualitative, quantitative or mixed-methods research before outlining the exact instrument or strategy (see definition) adopted for research (interviews, case study, etc.). It's also important that you explain why you have chosen that particular method and strategy. You can also explain why you're not adopting an alternate form of research, or why you haven't used a particular instrument, but keep this brief and use it to reinforce why you have chosen your method and strategy.

Your research method, more than anything else, is going to directly influence how effectively you answer your research question(s). For that reason, it's crucial that you emphasise the suitability of your chosen method and instrument for the purposes of your research.                       

Data collection

The data collection part of your methodology explain the process of how you accessed and collected your data. Using an interview as a qualitative example, this might include the criteria for selecting participants, how you recruited the participants and how and where you conducted the interviews. There is often some overlap with data collection and research method, so don't worry about this. Just make sure you get the essential information across to your reader.

The details of how you accessed and collected your data are important for replicability purposes - the ability for someone to adopt the same approach and repeat the study. It's also important to include this information for reliability and consistency purposes (see  validity and reliability  on the next tab of this guide for more).

Data analysis

After describing how you collected the data, you need to identify your chosen method of data analysis. Inevitably, this will vary depending on whether your research is qualitative or quantitative (see note below).

Qualitative research tends to be narrative-based where forms of ‘coding’ are employed to categorise and group the data into meaningful themes and patterns (Bui, 2014). Quantitative deals with numerical data meaning some form of statistical approach is taken to measure the results against the research question(s).

Tell your reader which data analysis software (such as SPSS or Atlast.ti) or method you’ve used and why, using relevant literature. Again, you can mention other data analysis tools that you haven’t used, but keep this brief and relate it to your discussion of your chosen approach. This isn’t to be confused with the results and discussion chapters where you actually state and then analyse your results. This is simply a discussion of the approach taken, how you applied this approach to your data and why you opted for this method of data analysis.

Detail of how you analysed your data helps to contextualise your results and discussion chapters. This is also a validity issue (see next tab of guide), as you need to ensure that your chosen method for data analysis helps you to answer your research question(s) and/or respond to your hypotheses. To use an example from Bui (2014: 155), 'if one of the research questions asks whether the participants changed their behaviour before and after the study, then one of the procedures for data analysis needs to be a comparison of the pre- and postdata'.

Validity and reliability

Validity simply refers to whether the research method(s) and instrument(s) applied are directly suited to meet the purposes of your research – whether they help you to answer your research question(s), or allow you to formulate a response to your hypotheses.

Validity can be separated into two forms: internal and external. The difference between the two is defined by what exists inside the study (internal) and what exists outside the study (external).

• Internal validity is the extent to which ‘the results obtained can be attributed to the manipulation of the independent variable' (Salkind, 2011: 147).
• External validity refers to the application of your study’s findings outside the setting of your study. This is known as generalisability , meaning to what extent are the results applicable to a wider context or population.

Reliability

Reliability refers to the consistency with which you designed and implemented your research instrument(s). The idea behind this is to ensure that someone else could replicate your study and, by applying the instrument in the exact same way, would achieve the same results. This is crucial to quantitative and scientific based research, but isn’t strictly the case with qualitative research given the subjective nature of the data.

With qualitative data, it’s important to emphasise that data was collected in a consistent way to avoid any distortions. For example, let’s say you’ve circulated a questionnaire to participants. You would want to ensure that every participant receives the exact same questionnaire with precisely the same questions and wording, unless different questionnaires are required for different members of the sample for the purposes of the research.

Ethical considerations

Any research involving human participants needs to consider ethical factors. In response, you need to show your markers that you have implemented the necessary measures to cover the relevant ethical issues. These are some of the factors that are typically included:

• How did you gain the consent of participants, and how did you formally record this consent?
• What measures did you take to ensure participants had enough understanding of their role to make an informed decision, including the right to withdraw at any stage?
• What measures did you take to maintain the confidentiality of participants during the research and, potentially, for the write-up?
• What measures did you take to store the raw data and protect it from external access and use prior to the write-up?

These are only a few examples of the ethical factors you need to write about in your methodology. Depending on the nature of your research, ethical considerations might form a significant part of your methodology chapter, or may only constitute a few sentences. Either way, it’s imperative that you show your markers that you’ve considered the relevant ethical implications of your research.

Limitations

Don’t make the mistake of ignoring the limitations of your study (see the next tab, 'What to Avoid', for more on this) – it’s a common part of research and should be confronted. Limitations of research can be diverse, but tend to be logistical issues relating to time, scope and access . Whilst accepting that your study has certain limitations, the key is to put a positive spin on it, like the example below:

Despite having a limited sample size compared to other similar studies, the number of participants is enough to provide sufficient data, whilst the in-depth nature of the interviews facilitates detailed responses from participants.

• Bui, Y. N. (2014) How to Write a Master’s Thesis. 2dn Edtn. Thousand Oaks, CA: Sage.
• Guba, E. G. and Lincoln, Y. S. (1994) ‘Competing paradigms in qualitative research’, in Denzin, N. K. and Lincoln, N. S. (eds.) Handbook of Qualitative Research. Thousand Oaks, CA: Sage, pp. 105-117.
• Salkind, N. J. (2011) ‘Internal and external validity’, in Moutinho, L. and Hutchenson, G. D. (eds.) The SAGE Dictionary of Quantitative Management Research . Thousand Oaks, CA: Sage, pp. 147-149.
• Saunders, M., Lewis, P. and Thornhill, A. (2007) Research Methods for Business Students . 4th Edtn. Harlow: Pearson.

What to avoid

This portion of the guide will cover some common missteps you should try to avoid in writing your methodology.

Ignoring limitations

It might seem instinctive to hide any flaws or limitations with your research to protect yourself from criticism. However, you need to highlight any problems you encountered during the research phase, or any limitations with your approach. Your markers are expecting you to engage with these limitations and highlight the kind of impact they may have had on your research.

Just be careful that you don’t overstress these limitations. Doing so could undermine the reliability and validity of your results, and your credibility as a researcher.

Literature review of methods

Don’t mistake your methodology chapter as a detailed review of methods employed in other studies. This level of detail should, where relevant, be incorporated in the literature review chapter, instead (see our Writing the Literature Review guide ). Any reference to methodological choices made by other researchers should come into your methodology chapter, but only in support of the decisions you made.

Unnecessary detail

It’s important to be thorough in a methodology chapter. However, don’t include unnecessary levels of detail. You should provide enough detail that allows other researchers to replicate or adapt your study, but don’t bore your reader with obvious or extraneous detail.

Any materials or content that you think is worth including, but not essential in the chapter, could be included in an appendix (see definition). These don’t count towards your word count (unless otherwise stated), and they can provide further detail and context for your reader. For instance, it’s quite common to include a copy of a questionnaire in an appendix, or a list of interview questions.

Q: Should the methodology be in the past or present tense?

A: The past tense. The study has already been conducted and the methodological decisions have been implemented, meaning the chapter should be written in the past tense. For example...

Data was collected over the course of four weeks.

I informed participants of their right to withdraw at any time.

The surveys included ten questions about job satisfaction and ten questions about familial life (see Appendix).

Q: Should the methodology include secondary literature?

A: Yes, where relevant. Unlike the literature review, the methodology is driven by what you did rather than what other people have done. However, you should still draw on secondary sources, when necessary, to support your methodological decisions.

Q: Do you still need to write a methodology for secondary research?

A: Yes, although it might not form a chapter, as such. Including some detail on how you approached the research phase is always a crucial part of a dissertation, whether primary or secondary. However, depending on the nature of your research, you may not have to provide the same level of detail as you would with a primary-based study.

For example, if you’re analysing two particular pieces of literature, then you probably need to clarify how you approached the analysis process, how you use the texts (whether you focus on particular passages, for example) and perhaps why these texts are scrutinised, as opposed to others from the relevant literary canon.

In such cases, the methodology may not be a chapter, but might constitute a small part of the introduction. Consult your supervisor for further guidance.

Q: Should the methodology be in the first-person or third?

A: It’s important to be consistent , so you should use whatever you’ve been using throughout your dissertation. Third-person is more commonly accepted, but certain disciplines are happy with the use of first-person. Just remember that the first-person pronoun can be a distracting, but powerful device, so use it sparingly. Consult your supervisor for further guidance.

It’s important to remember that all research is different and, as such, the methodology chapter is likely to be very different from dissertation to dissertation. Whilst this guide has covered the most common and essential layers featured in a methodology, your methodology might be very different in terms of what you focus on, the depth of focus and the wording used.

What’s important to remember, however, is that every methodology chapter needs to be structured in a linear, layered way that guides the reader through the methodological process in sequential order. Through this, your marker can see how certain decisions have impacted on others, showing your understanding of the research process.

Here’s a final checklist for writing your methodology. Remember that not all of these points will be relevant for your methodology, so make sure you cover whatever’s appropriate for your dissertation. The asterisk (*) indicates any content that might not be relevant for your dissertation. You can download a copy of the checklist to save and edit via the Word document, below.

• Methodology self-evaluation checklist

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Methodology in thesis writing

What parts should you discuss, methodology.

• Thesis structure

What is the purpose of this chapter?

What is the methodology of your thesis, how detailed should the chapter be, where should the methodology be in your thesis, verb tenses in methodology, need someone to proofread your thesis.

In the method chapter, also known as your 'methodology', you describe how you arrived at your results. Here, you give a detailed description of your chosen method, data collection, data analysis and other important aspects of your research design. In this article, we will help you build the methodology section of your thesis properly.

To be able to form an opinion on, for example, the reliability and validity of your results, the reader needs to understand how you conducted your research. Therefore, in the methodology section, you must describe in detail which methods you used to answer your research question. The underlying idea is that someone who re-conducts the research according to your description will arrive at more or less the same results. This way, readers can (in theory) check the results that you found.

You can get a lot of information about the methodology of your thesis from the research design you made earlier. In general, in the methodology, you describe as extensively and concretely as possible how you set up the research. Therefore, you can finish writing this chapter only after you have conducted the actual research.

However, you must already have thought out the research method before conducting the research. You do this when you develop a research plan.

In the methodology of your thesis, you will address these issues:

• the type of research (qualitative or quantitative research or mixed methods);
• the method of data collection (e.g. literature review or an experiment);
• characteristics of the chosen sample;
• sample selection criteria;
• a step-by-step explanation of the procedure of your research;
• the method of data analysis (e.g. the statistical test or coding method used);
• validity and reliability .

While describing your research method, always keep in mind that someone else should be able to replicate the research based on your description. It is therefore important that you describe what you did as concretely as possible .

Have you conducted a literature review? Then, discuss in the methodology for the literature review where you found the literature, how you selected literature, and what the saturation point was (the point at which you had sufficient literature).

You can also briefly mention factors that may have had a negative influence on the survey process in the method section . For example if several people dropped out while completing the survey, you can mention that here.

Note: do stick to the facts. For example, you only name suggestions for follow-up research during the discussion. Did you personally find it difficult to manage when certain processes went less smoothly? You can say something about that instead in the reflection, provided your thesis contains a reflection chapter.

In the thesis structure, the methodology chapter usually follows the theoretical framework . Some studies follow a different order, and have the methodology chapter come before the theoretical framework. Ask your thesis supervisor which structure you should follow.

The length of the methodology in your thesis depends on your type of research. In experimental research, for instance, you will often see a longer description of the methodology than for a literature review. In general, assume a length of between 800 and 2,000 words for the methodology in a thesis of around 15,000-20,000 words . Please note that this is a general guideline, not a strict rule.

While writing the methodology in your thesis, make sure you use the correct verb tenses. Most of the time, you will use the present perfect or the simple past tense. You will then get sentences like:

• The sample consisted of 102 people. (simple past tense)
• Participants were instructed to... (simple past tense)
• The surveys were conducted at the library. (present perfect)
• This method was chosen because... (present perfect)

Are you unsure whether you have properly applied the verb tenses and other rules of academic writing? Not sure if the methodology of your thesis is complete? No worries: AthenaCheck's editors can check your thesis for language, structure and/or common thread. This way, you will soon be able to submit the best version of your thesis.