how to write a methods chapter for a thesis

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• November 7, 2023

How to Properly Write a Methods Section for Your Thesis

• By Denisa Cerna

Writing the methods section for your thesis sounds like a daunting task, but don’t worry – we’ve all been there.

The good news is that once you learn how to break your methodology down into specific steps, the whole writing process will become much easier.

Let’s unpack the purpose of a methods section, the elements it ought to comprise, and some of our top tips!

The Goal of a Methods Section

While a literature review provides an overview of the current knowledge in the field, a methodology chapter is where you explain how you went about researching your topic and why.

Methodology is a fundamental part of your thesis for three reasons:

• It shows how you procured your findings in detail, which gives your research credibility
• It makes your study replicable so that other researchers can compare their own findings to yours using the same process
• It displays your knowledge of research methods

What’s more, the methods section is where you get to point out any limitations to the study (for example, you may be working with a smaller sampler than would be preferable) and explain why your research matters in spite of these limitations.

How to Write a Methods Section: Checklist

Now that you know what the purpose of your methodology chapter is, it’s time to figure out what the best way to write it is.

First of all, let’s do a quick run through a checklist of all the essentials. No matter what type of research you’re conducting, your methods section should ideally include:

• The aim of your research (what you are hoping to achieve)
• An explanation of your research method and why you’ve picked it for this particular topic (this can be a qualitative, quantitative, or mixed method)
• A detailed description of your chosen research method (for example, interviews or focus groups for qualitative research, and surveys or experiments for quantitative research)
• A summary of all the equipment you used and how you went about collecting your data and analyzing it
• A section on your respondents, participants, or samples (where you found them, why you chose them – what criteria you based your decisions on – and how many there were)
• Limitations of the study (which difficulties you encountered, in which ways your study is limited, and why your conclusions are important to take into consideration nonetheless)

When writing your methods section, try to avoid adding unnecessary information. Any extra materials (such as a lot of detailed images) can go in the appendix, and your results belong in the results section, not here. In a great thesis , everything has its place.

How to Write a Methods Section: 4 Steps

That’s our checklist ticked off! Now comes the next question. In what order should you organize all this information?

While some methods chapters differ from others, there are essentially four steps you can follow:

• Describe your methodological approach and dive into the specifics of why and how you picked this approach (this is where you talk about research methods and the specific type of research you conducted, such as an experiment or a survey)
• Explain how you collected your data (if you collected it through a survey, how did you design the survey? What kinds of questions did you choose and in what form? How did you select and look for respondents? How many were there?)
• Show how you analyzed your data (again, if you created a survey, how did you go about turning your respondents’ answers into a statistical graph? Which software did you use?)
• Justify your choices (discuss why your research method was the right choice for the topic and acknowledge any limitations)

4 Extra Tips

Before we part for today, here are a few more tips that will help you make your methods section the best it can be:

• Write in the past tense (“I collected my data…”)
• If relevant, reference other credible sources that help show your knowledge of the field (but don’t go into too much detail – that’s what your literature review is for)
• Always keep the aim of the study in mind (the methodology section shows how you went about solving your primary problem, so don’t stray too far from it)
• Write for your reader, not for yourself (what would a complete outsider to the study need to hear in order to grasp all your concepts? Which information would be irrelevant or redundant?)

The methods section isn’t so scary after all, right? All you need to do is adhere to a checklist of all the essentials and organize your information in a logical order.

And if you still struggle with your methodology chapter, don’t worry – the dedicated team of subject matter experts and PhD editors at FirstEditing is here to help.

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Home » Dissertation Methodology – Structure, Example and Writing Guide

Dissertation Methodology – Structure, Example and Writing Guide

Table of Contents

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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Researcher, Academic Writer, Web developer

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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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Writing The Methodology Chapter

By: David Phair (PhD) and Amy Murdock (PhD) | July 2022

T he methodology chapter is a crucial part of your dissertation or thesis – it’s where you provide context and justification for your study’s design. This in turn demonstrates your understanding of research theory, which is what earns you marks .

Over the years, we’ve helped thousands of students navigate this tricky section of the research process. In this post, we’ll share 5 time-saving tips to help you effectively write up your research methodology chapter .

Overview: Writing The Methodology Chapter

• Develop a (rough) outline before you start writing
• Draw inspiration from similar studies in your topic area
• Justify every research design choice that you make
• Err on the side of too much detail , rather than too little
• Back up every design choice by referencing literature

1. Develop an outline before you start writing 

The first thing to keep in mind when writing your methodology chapter (and the rest of your dissertation) is that it’s always a good idea to sketch out a rough outline of what you are going to write about before you start writing . This will ensure that you stay focused and have a clear structural logic – thereby making the writing process simpler and faster.

An easy method of finding a structure for this chapter is to use frameworks that already exist, such as Saunder’s “ research onion ” as an example. Alternatively, there are many free methodology chapter templates for you to use as a starting point, so don’t feel like you have to create a new one from scratch.

Next, you’ll want to consider what your research approach is , and how you can break it down from a top-down angle, i.e., from the philosophical down to the concrete/tactical level. For example, you’ll need to articulate the following:  

• Are you using a positivist , interpretivist , or pragmatist approach ?
• Are you using inductive or deductive reasoning?
• Are you using a qualitative , quantitative, or mixed methods study?

Keep these questions front of mind to ensure that you have a clear, well-aligned line of argument that will maintain your chapter’s internal and external consistency.

Remember, it’s okay if you feel overwhelmed when you first start the methodology chapter. Nobody is born with an innate knowledge of how to do this, so be prepared for the learning curve associated with new research projects. It’s no small task to write up a dissertation or thesis, so be kind to yourself!

2. Take inspiration from other studies 

Generally, there are plenty of existing journal articles that will share similar methodological approaches to your study. With any luck, there will also be existing dissertations and theses that adopt a similar methodological approach and topic. So, consider taking inspiration from these studies to help curate the contents of your methodology chapter.

Students often find it difficult to choose what content to include in the methodology chapter and what to leave for the appendix. By reviewing other studies with similar approaches, you will get a clearer sense of your discipline’s norms and characteristics . This will help you, especially in terms of deciding on the structure and depth of discussion.  

While you can draw inspiration from other studies, remember that it’s vital to pay close attention to your university’s specific guidelines, so you can anticipate departmental expectations of this section’s layout and content (and make it easier to work with your supervisor). Doing this is also a great way to figure out how in-depth your discussion should be. For example, word-count guidelines can help you decide whether to include or omit certain information.

Need a helping hand?

3. Justify every design choice you make

The golden rule of the methodology chapter is that you need to justify each and every design choice that you make, no matter how small or inconsequential it may seem. We often see that students merely state what they did instead of why they did what they did – and this costs them marks.

Keep in mind that you need to illustrate the strength of your study’s methodological foundation. By discussing the “what”, “why” and “how” of your choices, you demonstrate your understanding of research design and simultaneously justify the relevancy and efficacy of your methodology – both of which will earn you marks.

It’s never an easy task to conduct research. So, it’s seldom the case that you’ll be able to use the very best possible methodology for your research (e.g. due to time or budgetary constraints ). That’s okay – but make sure that you explain and justify your use of an alternate methodology to help justify your approach.

Ultimately, if you don’t justify and explain the logic behind each of your choices, your marker will have to assume that you simply didn’t know any better . So, make sure that you justify every choice, especially when it is a subpar choice (due to a practical constraint, for example). You can see an example of how this is done here.

4. Err on the side of too much detail

We often see a tendency in students to mistakenly give more of an overview of their methodology instead of a step-by-step breakdown . Since the methodology chapter needs to be detailed enough for another researcher to replicate your study, your chapter should be particularly granular in terms of detail. 

Whether you’re doing a qualitative or quantitative study, it’s crucial to convey rigor in your research. You can do this by being especially detailed when you discuss your data, so be absolutely clear about your:  

• Sampling strategy
• Data collection method(s)
• Data preparation
• Analysis technique(s)

As you will likely face an extensive period of editing at your supervisor/reviewer’s direction, you’ll make it much easier for yourself if you have more information than you’d need. Some supervisors expect extensive detail around a certain aspect of your dissertation (like your research philosophy), while others may not expect it at all.

Remember, it’s quicker and easier to remove/ trim down information than it is to add information after the fact, so take the time to show your supervisor that you know what you’re talking about (methodologically) and you’re doing your best to be rigorous in your research.

5. Provide citations to support each design choice

Related to the issue of poor justification (tip #3), it’s important include high-quality academic citations to support the justification of your design choices. In other words, it’s not enough to simply explain why you chose a specific approach – you need to support each justification with reference to academic material.  

Simply put, you should avoid thinking of your methodology chapter as a citation-less section in your dissertation. As with your literature review, your methods section must include citations for every decision you make, since you are building on prior research.  You must show that you are making decisions based on methods that are proven to be effective, and not just because you “feel” that they are effective.

When considering the source of your citations, you should stick to peer-reviewed academic papers and journals and avoid using websites or blog posts (like us, hehe). Doing this will demonstrate that you are familiar with the literature and that you are factoring in what credible academics have to say about your methodology.

As a final tip, it’s always a good idea to cite as you go . If you leave this for the end, then you’ll end up spending a lot of precious time retracing your steps to find your citations and risk losing track of them entirely. So, be proactive and drop in those citations as you write up . You’ll thank yourself later!

Let’s Recap…

In this post, we covered 5 time-saving tips for writing up the methodology chapter:

• Look at similar studies in your topic area
• Justify every design choice that you make
• Back up every design choice by referencing methodology literature

If you’ve got any questions relating to the methodology chapter, feel free to drop a comment below. Alternatively, if you’re interested in getting 1-on-1 help with your thesis or dissertation, be sure to check out our private coaching service .

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What data analysis method can work best for my study. I am using a mixed method in the study. I am developing a framework to address the challenges faced by the taxi operators as entrepreneurs. I will need to analyse both using qualitative and quantitative.

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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.

• Next: Structure >>
• Last Updated: Sep 14, 2022 12:58 PM
• URL: https://libguides.westminster.ac.uk/methodology-for-dissertations

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