dissertation methods

Study was conducted based on the municipal higher educational institution of the regional council. The study covered 105 first-year students (including 77 students of Department of Primary Education (base 9 classes), aged 15.5 years and 28 students of department "Preschool Education" (base 11 classes), aged 17.5 years).

Qualitative Methods of Methodology in Dissertation

Qualitative dissertation methodology is aimed at identifying statistical survey characteristics. So you can reveal various types of deep social processes and mechanisms. For example, analyze the media's influence on individual consciousness. Or examine informational perception of different population layers. The main application area of these methods is marketing and sociological research. Let's consider the most important group methods:

Quantitative Methods of Dissertation Research: Methodology

The second dissertation methodology is quantitativ methods . It helps to identify phenomena based on statistical methods. It aims at initially collecting questionnaires and then measuring them to investigate large-scale phenomena. It also allows you to study the structure and research development’s dynamics. This includes counting publications number made or content analysis. For example, determination of various sources’ volume citation. It is possible to track studied circulation and the usage degree. The research results using this method are information with minor deviations.

How Data Is Analyzed in Your Dissertation Methodology Section

In the practical section, analyze results of research methodology dissertation. Provide detailed data on subjects and different research methods. Pay attention to results' validity and their interpretation. Research results should not be limited to statements of received facts. Interpret their scientific explanation and obtain results.

Materials Used in Your Methodology Chapter in Dissertation

Methodology chapter in the dissertation should include suitable materials. Data selection, critical comprehension, and processing are essential. First, you need to introduce primary literature (textbooks, theoretical articles) and applied materials (methodological developments, instructional materials, articles). Include only carefully selected and purposefully analyzed elements. As illustrative material, you can add sample documents, tables, diagrams, charts. They can be placed throughout your study.

Tips on How to Write a Dissertation Methodology

We have prepared some tips on how to write a methodology for a dissertation. Hope they will ease your writing.

Mistakes to Avoid When Writing Methodology for Dissertation

We collected and identified 10 common mistakes in writing a dissertation methodology. Avoid them to make this section excellent!

Dissertation Methodology Example

We prepared a methodology example for your dissertation. Now you know all necessary information on how to write this chapter. We recommend you pay specific attention while writing. You can take our sample as a template.

Final Thoughts on Writing a Methodology for a Dissertation

Dissertation methodology occupies 20% of your text. It is significant for your scientific research. In this section you formulate provisions that determine the entire course of work. We recommend writing this section at the very beginning. So, research methods are steps that we take towards work goals. These are ways that our online dissertation help resolves study tasks.

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What Is A Dissertation

Dissertation Methodology

Last updated on: Jan 3, 2023

How to Write a Dissertation Methodology with Examples

By: Caleb S.

Reviewed By: Rylee W.

Published on: Jan 3, 2023

The methodology builds the skeleton of the research work. It gives a reader a clear roadmap and outline of the research methods.

Moreover, the dissertation methodology is linked back to the literature review. It explains why you chose a certain data collection method for your dissertation.

Are you confused about writing a dissertation methodology? Are you stuck at the first step and can’t move forward? Then this blog is for you!

Read on and get to know about the dissertation methodology in detail.

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What is Dissertation Methodology?

The dissertation methodology is one of the most challenging parts of the research project. In the methodology section, you will define the research question. Also, give a detailed review of the methods used within your research.

The main purpose of the dissertation methodology is to:

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Moreover, it helps the readers understand the broad philosophical approach behind the methods you used for your research work. Also, with methodology, you will be required to justify why you chose this method over others.

In the dissertation methodology, you should include:

Normally, it comes after the literature review and explains data gathering techniques. Also, describe in which ways and how the research was conducted. It is a part of dissertation writing and it is an important part of it.

Types of Dissertation Methodology

The dissertation methodology describes the philosophical research methods you use, their advantages, results, and how you conduct research. Also, it helps the readers to assess the validity and reliability of the research.

Also, the dissertation methodology has the following types:

Scientific Study

In this methodology type, you need to elaborate on the reliability and show close attention to detail more than anything else. However, if your methods have flaws, no one is impressed. Therefore, make sure that your chosen dissertation methodology is powerful.

Furthermore, the information should clearly state the procedure, setup, and equipment. Therefore, researchers of the same field of study can work with the same method in the future.

The statistical models that are part of your scientific study should be included in the methodology. Also, the variables expected to falsify your data must hold into the equation to avoid vagueness. Therefore, it is better to use a comprehensive strategy to deal with these variables when collecting and analyzing the data.

Behavioral or Social Sciences

The behavioral or social sciences methodology is built on the same lines as scientific or lab-based research. This type of methodology exhibits both firmness and reproducibility. Therefore, the other scientists can use your complete research methodology or recreate your examination according to their own research needs.

However, there are some inquiries to consider when working with human subjects. First, you need to decide if your analysis will be based on quantitative, qualitative, or blended research methodology.

The following are the questions that you need to consider:

Therefore, you will be required to show that you have taken care of the above questions. Also, you must address your research study’s ethical issues.

However, you have to get formal approval for your research design from suitable ethical committees.

Humanities and Arts Dissertation

For humanities and arts-based dissertations, the thoroughness and dependability of the research methods employed remain unquestionable. However, the convincing strategy you will use to convince the readers is slightly different.

Furthermore, the humanities and arts-based dissertations must be directly linked to the literature review. However, the dissertation for humanities and arts is less complex, and there is no need to justify it in detail.

However, ensure that you have provided enough information about the theoretical frameworks your research methodology is based on.

Creative Arts Dissertation

Numerous degree programs in the arts allow the students to take the portfolio of artworks or creative writing. Other than presenting the long dissertation research work.

However, your creative research will be required to be submitted along with a comprehensive evaluative paper. Also, as a scholar, you will be expected to show the ability to analyze your methodology critically. Besides, you are capable of critically evaluating your creative work.

Therefore, keep these types of research methodology in mind and choose the one according to your needs.

Dissertation Methodology Structure

There are several ways in which you can structure your dissertation methodology. Below are some steps that will help you structure the dissertation methodology.

1. Give Research Overview

In this step, reiterate the topic of your research. You can also describe your data collection and analysis process. Also, discuss and answer the research question clearly in this section.

2. Research Design

You have to explain which data collection method (interviews, surveys, etc.) you used for your research work. Also, include the sample size and any attempts to defeat bias.

3. Data Analysis

In this step, you will have to describe what type of data you were working on. Also, your results are conclusive or not.

What to Include in Dissertation Methodology?

Here are the elements that you should include in the dissertation methodology.

How to Write a Dissertation Methodology?

Writing a dissertation methodology chapter is not difficult if you follow proper steps and guidelines. For your help, we compiled some steps that you will use to create a well-written dissertation methodology.

1. Explain Your Methodological Approach

It is the first step of writing the dissertation methodology. In this step, you need to explain your methodological approach like qualitative research, quantitative research, or any other.

2. Describe Data Collection Methods

After explaining the methodological approach, you should explain the data collection methods, such as interviews, surveys, etc., that you will use.

3. Describe Data Analysis Methods

Now, discuss how you processed and analyzed the quantitative or qualitative data. However, do not give too much information and the results at this stage.

4. Evaluate and Justify Your Methodological Choices

In this section of the dissertation, you describe why you chose these particular methods. Also, explain why other research methods were not suitable for your research goal and show how this approach contributes new knowledge.

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Literature Based Dissertation Methodology

This type of methodology is also known as the secondary research methodology. The literature review dissertation methodology involves 4 steps:

1. Develop your research question(s): Like any other type of research, you have to develop a research question first. Then specify the general research area in which you research will fall. Finally, aim to fill the gaps in your literature review.

2. Identify a secondary data set: Look for some more past data that could be useful for your research. For example, you might need an author's permission to use their data.

3. Evaluate a secondary data set: Address the following questions:

Prepare and analyze secondary data: You will prepare and analyze the secondary data by:

Following is an example that explains how to write a dissertation methodology of secondary research:

Dissertation Methodology Secondary Research (PDF)

Read the next section for some more examples to understand the dissertation methodology.

Dissertation Methodology Examples

Here are some examples of the dissertation methodology for your ease.

Undergraduate Dissertation Methodology Example (PDF)

Masters Dissertation Methodology Example (PDF)

Qualitative Dissertation Methodology Example (PDF)

Quantitative Dissertation Methodology Example (PDF)

Dissertation Methodology Checklist Sample (PDF)

Sample Dissertation Methodology Template (PDF)

What Not to Include in the Dissertation Methodology?

You might get tempted to overlap between literature review and dissertation methodology. You will find yourself moving back and forth and editing between the literature review and methodology sections.

Resist the urge of including the following in your dissertation methodology:

Hopefully, this blog must have helped in writing a great dissertation methodology. However, if you still have any issues in writing a dissertation methodology, you can contact GradSchoolGenius.com and get help from our professional writers.

Our professional writers will make your life easy and help you write a good dissertation methodology.

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The Ultimate Guide to a Top Dissertation Methodology

Do you know how to write a successful dissertation methodology with expert practical steps?

Read on to find out how you can do this quickly.

Dissertation Methodology Definition

A dissertation methodology is one of the sections of a dissertation paper that provides the reader with a clear outline of the methods used during the research. It gives researchers a sense of reliability and validity.

The methodology of the study should entail the following components:

What is the scope of the research? How did you collect your data? What method did you use to analyze the findings? What tools did you use? (Both primary and secondary) Why did you choose the tools above for your research methodology?

Without a proper research methodology, you will not be able to earn the trust of your readers.

Steps to Writing a Dissertation Methodology Section

Now let’s explore the practical steps that you will follow to arrive at a top-tier dissertation methodology that will give your professor sleepless nights. Make sure that you keep your eyes peeled; you will not get these professional steps anywhere else:

Step 1: What is Your Research Problem or Question?

Mention your research topic and provide an overview of how you plan to investigate it.

Ensure that you provide any details that would make your topic clear so that the reader understands why you settled on specific research methods. It can take different forms, such as the ones listed below:

Do you intend to give a cause and effect relationship? Do you want to describe the characteristics of a given phenomenon systematically? Do you want to shed more light on a less-researched topic? How are you going to achieve all these?

The type of data you intend to use will be made plain in this part. Is it going to be:

Qualitative (data in the form of words such as gender; male or female, citizenship, name, etc.) or Quantitative (data in the form of numbers such as amount, height, statistics etc. Descriptive data or controlled data Primary or secondary data

For instance, in a case where you are going to use qualitative research, unstructured data collections methods are essential. These include interviews, observations, documents, and surveys with a primary focus on the reasons for behaviours, motivations, and attitudes. It will not look at the details of what, where and when.

Step 2: Extensively Discuss Your Data Collection Methods

The next step on how to write a methodology section is the description of the methods of data collection in detail.

Let us see how you can do this task painstakingly:

Qualitative methods of data collection

It is a broad field of data inquiry that gives you the freedom to maneuver around subjectively and flexibly.

Use this dissertation methodology example below for qualitative research:

“Why should doctors and the elderly use N95 face masks?” – A narrow and specific research question.

Now, the question above does not require a simple ‘yes’ or ‘no’. That is why it is the best match for qualitative research.

Since such methodologies are broad, you can be sure of having useful data at the end of the day. Therefore, narrow down your research to a major urban area (like Minnesota) or hospitals within 300km of where you live.

Remember, it will all depend on your research budget and available financial resources.

You can choose from the following qualitative research methodologies:

Focus here is on existing written, visual, and audio documents without any involvement by the researcher. Talk about:

And now on the second type:

Quantitative Methods of Data Collection

For this method, describe the following:

Quantitative methodology section example

“The survey consisted of 10 multiple-choice questions. The study was intended for 100 doctors from Minnesota Hospital living in the hospital premises from 5th to 10th August 2019 between 8:00 and 16:00. A doctor was defined as a trained professional with specialty in handling patients from Minnesota Hospital on the day of questioning. Each of the doctors had 20 minutes to fill in the survey anonymously, and 95 doctors responded. Since 5 of the surveys were dully filled, only 95 of the survey results were included in the analysis.”

You can use the same template for:

Experiments Existing data Survey research Tracking

Describe the methods in full details to avoid any ambiguity of results.

Step 3: Analyze Your Data

After you complete the data collection, the next step is to analyze it. From this, you can come up with answers and theories for your research question.

It should include:

Qualitative method Analysis example of methodology in the thesis:

The books were summarized, and thematic analysis was done. It involved a narrative review of the data before identifying the four key themes. A close examination of each subject was done to understand the perceptions and motivations of the participants.

Step 4: Justification and Evaluation of the Methodology Used

Discuss why you chose particular methods over the others. It should include:

Sample of evaluation and justification of methodology in a thesis paper:

“Written questionnaires are only limited to literate people in the society. Those with visual and hearing impairments can find this difficult, but they are effective for getting accurate data.”

Research Methodology: 5 Hot Tips

Frequently Asked Questions on Methodology

Why is qualitative sampling different from quantitative sampling?

Qualitative methods use numbers, while quantitative methods use words.

What is the methodology?

The strategy employed during data collection for a research project

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With the expert tips above, nothing can stop you from having a tip-top dissertation methodology.

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Qualitative Data Analysis Methods for Your Dissertation

At this point in your doctoral degree program, you have likely already designed the qualitative research study that is the backbone of your dissertation. The next step, after obtaining Institutional Review Board (IRB) approval, is to collect and analyze the data to find patterns, connections and relationships relevant to the study’s objectives.

Data analysis is perhaps the most important part of the research process. Once you have collected your high-quality data, as a researcher you must take all the information and properly analyze it to gain relevant insights.

Collecting Qualitative Data

Qualitative data collection is exploratory and focused on discovery. It involves collecting a robust data set so that one can then do an in-depth analysis focused on discovering insights, reasoning and motivations. Since qualitative data focuses on searching for understanding, meaning and social patterns, researchers prefer to use data collection methods that can reveal those patterns. Some of the various qualitative data collection methods include:

Qualitative Data Analysis

Qualitative data is collected through in-person interactions and recorded in the form of words, observations and images. Compared to quantitative research, which collects clear numerical data to draw conclusions, qualitative research is most often used to explore the how and why of people’s emotions, behaviors and perceptions.

Interpreting and analyzing qualitative data can be challenging and time-consuming. It is a process that usually involves reading through many pages of text-based and visual data and notes, and sometimes listening to hours of audio. Therefore, the analysis process in qualitative research typically begins as soon as the data becomes available.

Analyzing your data is vital to the research process, especially since you have likely spent a lot of time and money collecting it. In an effort to conduct the most beneficial analysis, researchers should first understand the two main approaches to qualitative data analysis: 1

1. Inductive Approach

This is a thorough and time-consuming approach to qualitative data analysis with no predetermined rules or structure. Researchers may use this approach in order to identify emerging patterns to reflect what can be discovered.

2. Deductive Approach

In this approach, qualitative data is analyzed based on a structure that is predetermined by the researcher, who can then develop and use questions as a guide for analyzing the data. This approach is preferred when the researcher wants to examine particular categories of information in relation to previous studies or theory. It can be combined with an inductive approach.

Preparing Data for Analysis

Because analysis in qualitative research begins as soon as the data is received, data preparation and analysis occur at the same time, following these steps:

1. Become Acquainted With the Data

Most qualitative data is in a written narrative format. Thus, the researcher will read the data multiple times to become familiar with it and begin identifying similarities and patterns.

2. Review Research Objectives

In a qualitative study, the researcher reviews the study’s objectives and gleans questions or hypotheses that can be answered through the collected data. This is the opposite of quantitative research, which collects data to answer pre-determined questions or hypotheses.

3. Creating Data Structure

Variation is common in qualitative data because this form of research elicits a range of information that is typical in discovery-based research. As data is collected, qualitative researchers will often identify and develop codes to the data that helps categorize and structure the mass of information.

4. Discover Patterns and Connections

Once the qualitative data is collected and coded, researchers will begin identifying themes. They can do this by looking for patterns in the responses to questions and analyze how these answer the core questions driving the study.

Qualitative Data Analysis Methods

There are several methods available for analyzing qualitative research data. The method you choose will depend on your research objectives and questions. These are the most common qualitative data analysis methods to help you complete your dissertation: 2

There are many qualitative data analysis methods to choose from, but these are the most common methods that will help you as you finalize your dissertation.

Applying Data Analysis to Your Dissertation

When done appropriately, data analysis can provide a solid foundation for the results and discussion sections of your doctoral dissertation. Therefore, it is imperative to conduct thorough and careful data analysis in order to derive meaningful and insightful findings.

If you are struggling with any portion of data analysis while working on your dissertation, speak with your university advisor or professor; they will be happy to assist you further.

Start your doctoral journey at Grand Canyon University. The College of Doctoral Studies at GCU offers a variety of qualitative programs to support your research goals. To learn more about GCU’s doctoral programs, click on Request More Info at the top of this page.

Retrieved from:

1 QuestionPro, Qualitative Data – Definitions, Types, Analysis and Examples in May 2021

2 GradCoach, Qualitative Data Analysis Methods 101 in May 2021

The views and opinions expressed in this article are those of the author’s and do not necessarily reflect the official policy or position of Grand Canyon University. Any sources cited were accurate as of the publish date.

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The Top 3 Types of Dissertation Research Explained

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Preparing for your doctoral dissertation takes serious perseverance. You’ve endured years of studies and professional development to get to this point. After sleepless nights and labor-intensive research, you’re ready to present the culmination of all of your hard work. Even with a strong base knowledge, it can be difficult — even daunting — to decide how you will begin writing.

By taking a wide-lens view of the dissertation research process , you can best assess the work you have ahead of you and any gaps in your current research strategy. Subsequently, you’ll begin to develop a timeline so you can work efficiently and cross that finish line with your degree in hand.

Types of Dissertation Research

Dissertations can take on many forms, based on research and methods of presentation in front of a committee board of academics and experts in the field. Here, we’ll focus on the three main types of dissertation research to get you one step closer to earning your doctoral degree.

1. Qualitative

The first type of dissertation is known as a qualitative dissertation . A qualitative dissertation mirrors the qualitative research that a doctoral candidate would conduct throughout their studies. This type of research relies on non-numbers-based data collected through things like interviews, focus groups and participant observation.

The decision to model your dissertation research according to the qualitative method will depend largely on the data itself that you are collecting. For example, dissertation research in the field of education or psychology may lend itself to a qualitative approach, depending on the essence of research. Within a qualitative dissertation research model, a candidate may pursue one or more of the following:

Although individual approaches may vary, qualitative dissertations usually include certain foundational characteristics. For example, the type of research conducted to develop a qualitative dissertation often follows an emergent design, meaning that the content and research strategy changes over time. Candidates also rely on research paradigms to further strategize how best to collect and relay their findings. These include critical theory, constructivism and interpretivism, to name a few.

Because qualitative researchers integrate non-numerical data, their methods of collection often include unstructured interview, focus groups and participant observations. Of course, researchers still need rubrics from which to assess the quality of their findings, even though they won’t be numbers-based. To do so, they subject the data collected to the following criteria: dependability, transferability and validity.

When it comes time to present their findings, doctoral candidates who produce qualitative dissertation research have several options. Some choose to include case studies, personal findings, narratives, observations and abstracts. Their presentation focuses on theoretical insights based on relevant data points.

2. Quantitative

Quantitative dissertation research, on the other hand, focuses on the numbers. Candidates employ quantitative research methods to aggregate data that can be easily categorized and analyzed. In addition to traditional statistical analysis, quantitative research also hones specific research strategy based on the type of research questions. Quantitative candidates may also employ theory-driven research, replication-based studies and data-driven dissertations.

When conducting research, some candidates who rely on quantitative measures focus their work on testing existing theories, while others create an original approach. To refine their approach, quantitative researchers focus on positivist or post-positivist research paradigms. Quantitative research designs focus on descriptive, experimental or relationship-based designs, to name a few.

To collect the data itself, researchers focus on questionnaires and surveys, structured interviews and observations, data sets and laboratory-based methods. Then, once it’s time to assess the quality of the data, quantitative researchers measure their results against a set of criteria, including: reliability, internal/external validity and construct validity. Quantitative researchers have options when presenting their findings. Candidates convey their results using graphs, data, tables and analytical statements.

If you find yourself at a fork in the road deciding between an online and in-person degree program, this infographic can help you visualize each path.

3. Mixed-Method

Many PhD candidates also use a hybrid model in which they employ both qualitative and quantitative methods of research. Mixed dissertation research models are fairly new and gaining traction. For a variety of reasons, a mixed-method approach offers candidates both versatility and credibility. It’s a more comprehensive strategy that allows for a wider capture of data with a wide range of presentation optimization.

In the most common cases, candidates will first use quantitative methods to collect and categorize their data. Then, they’ll rely on qualitative methods to analyze that data and draw meaningful conclusions to relay to their committee panel.

With a mixed-method approach, although you’re able to collect and analyze a more broad range of data, you run the risk of widening the scope of your dissertation research so much that you’re not able to reach succinct, sustainable conclusions. This is where it becomes critical to outline your research goals and strategy early on in the dissertation process so that the techniques you use to capture data have been thoroughly examined.

How to Choose a Type of Dissertation Research That’s Right for You

After this overview of application and function, you may still be wondering how to go about choosing a dissertation type that’s right for you and your research proposition. In doing so, you’ll have a couple of things to consider:

It’s important to discern exactly what you hope to get out of your doctoral program . Of course, the presentation of your dissertation is, formally speaking, the pinnacle of your research. However, doctoral candidates must also consider:

Personal Considerations

To discern which type of dissertation research to choose, you have to take a closer look at your learning style, work ethic and even your personality.

Quantitative research tends to be sequential and patterned-oriented. Steps move in a logical order, so it becomes clear what the next step should be at all times. For most candidates, this makes it easier to devise a timeline and stay on track. It also keeps you from getting overwhelmed by the magnitude of research involved. You’ll be able to assess your progress and make simple adjustments to stay on target.

On the other hand, maybe you know that your research will involve many interviews and focus groups. You anticipate that you’ll have to coordinate participants’ schedules, and this will require some flexibility. Instead of creating a rigid schedule from the get-go, allowing your research to flow in a non-linear fashion may actually help you accomplish tasks more efficiently, albeit out of order. This also allows you the personal versatility of rerouting research strategy as you collect new data that leads you down other paths.

After examining the research you need to conduct, consider more broadly: What type of student and researcher are you? In other words, What motivates you to do your best work?

You’ll need to make sure that your methodology is conducive to the data you’re collecting, and you also need to make sure that it aligns with your work ethic so you set yourself up for success. If jumping from one task to another will cause you extra stress, but planning ahead puts you at ease, a quantitative research method may be best, assuming the type of research allows for this.

Professional Considerations

The skills you master while working on your dissertation will serve you well beyond the day you earn your degree. Take into account the skills you’d like to develop for your academic and professional future. In addition to the hard skills you will develop in your area of expertise, you’ll also develop soft skills that are transferable to nearly any professional or academic setting. Perhaps you want to hone your ability to strategize a timeline, gather data efficiently or draw clear conclusions about the significance of your data collection.

If you have considerable experience with quantitative analysis, but lack an extensive qualitative research portfolio, now may be your opportunity to explore — as long as you’re willing to put in the legwork to refine your skills or work closely with your mentor to develop a strategy together.

Academic Considerations

For many doctoral candidates who hope to pursue a professional career in the world of academia, writing your dissertation is a practice in developing general research strategies that can be applied to any academic project.

Candidates who are unsure which dissertation type best suits their research should consider whether they will take a philosophical or theoretical approach or come up with a thesis that addresses a specific problem or idea. Narrowing down this approach can sometimes happen even before the research begins. Other times, candidates begin to refine their methods once the data begins to tell a more concrete story.

Next Step: Structuring Your Dissertation Research Schedule

Once you’ve chosen which type of dissertation research you’ll pursue, you’ve already crossed the first hurdle. The next hurdle becomes when and where to fit dedicated research time and visits with your mentor into your schedule. The busyness of day-to-day life shouldn’t prevent you from making your academic dream a reality. In fact, search for programs that assist, not impede, your path to higher levels of academic success.

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Writing A Methodology For Your Dissertation | Complete Guide & Steps

What is a methodology.

The methodology is perhaps the most challenging and laborious part of the dissertation . Essentially, the methodology helps in understanding the broad, philosophical approach behind the methods of research you chose to employ in your study. The research methodology elaborates on the ‘how’ part of your research.

This means that your methodology chapter should clearly state whether you chose to use quantitative or qualitative data collection techniques or a mix of both.

Your research methodology should explain the following:

You will be required to provide justifications as to why you preferred a certain method over the others. If you are trying to figure out exactly how to write methodology or the structure of a methodology for a dissertation, this article will point you in the right direction.

Students must be sure of why they chose a certain research method over another. “I figured out” or “In my opinion” statements will not be an acceptable justification. So, you will need to come up with concrete academic reasons for your selection of research methods.

What Are The Standard Contents Of A Research Methodology?

The methodology generally acts as a guideline or plan for exactly how you intend to carry out your research. This is especially true for students who must submit their methodology chapter before carrying out the research.

Your methodology should link back to the literature review and clearly state why you chose certain data collection and analysis methods for your research/dissertation project.

The methodology chapter consists of the following:

For those who are submitting their dissertation as a single paper, their methodology should also touch on any modifications they had to make as their work progressed.

However, it is essential to provide academic justifications for all choices made by the researcher.

How To Choose Your Dissertation Methodology And Research Design?

The theme of your research methodology chapter should be related to your literature review and research question (s).

You can visit your college or university library to find textbooks and articles that provide information about the commonly employed research methods .

An intensive reading of such books can help you devise your research philosophy and choose the appropriate methods. Any limitations or weaknesses of your chosen research approach should also be explained, as well as the strategies to overcome them.

To research well, you should read well! Read as many research articles (from reputed journals) as you can. Seeing how other researchers use methods in their studies and why will help you justify, in the long run, your own research method(s).

Regardless of the chosen research approach, you will find researchers who either support it or don’t. Use the arguments for and against articulated in the literature to clarify why you decided to choose the selected research design and why the research limitations are irrelevant to your research.

How To Structure Your Dissertation Methodology?

The typical structure of the methodology chapter is as follows:

Research Design And Strategy

Methods Of Data Collection And Data Analysis

Ethical Considerations, Reliability , Limitations And Generalisability

In research jargon, generalisability is termed external validity . It means how generalisable your research findings are to other contexts, places, times, people, etc. External validity is expected to be significantly high, especially in quantitative studies.

According to USC-Research Guides (2017) , a research design’s primary function is to enable the researcher to answer the research questions through evidence effectively. Generally, this section will shed light on how you collected your data.

The researcher will have to justify their choice of data collection methods, such as the one that was reviewed, the use of data tools (interviews, phone surveys, questionnaires, observation, online surveys , etc.) and the like.

Moreover, data sampling choice should also be clearly explained with a focus on how you chose the ethnicity, group, profession and age of the participants.

It’s a good practice to keep referring to your research questions whilst planning or writing the research design section. This will help your reader recall what the research is about; why you have done what you did. Even though this technique is recommended to be applied at the start of every section within a dissertation, it’s especially beneficial in the methodology section.

In short, you will need to make sure that the data you are going to collect relates to the topic you are exploring. The complexity and length of the research design section will vary depending on your academic subject and the scope of your research, but a well-written research design will have the following characteristics:

Philosophical Approach Behind Writing A Methodology

This will discuss your chosen philosophy to strengthen your research and the research model. Commonly employed philosophies in academia are

There are several other research philosophies that you could adopt.

The choice of philosophy will depend on many factors, including your academic subject and the type and complexity of the research study. Regardless of which philosophy is used, you will be required to make different assumptions about the world.

Once you have chosen your research philosophy, the next step will describe your research context to answer all the questions, including when, where, why, how and what of your research.

Essentially, as a researcher, you will be required to decide whether you will be using a qualitative method, a quantitative method or a mix of both.

Did you know?

Using both qualitative and quantitative methods leads to the use of a mixed-methods approach. This approach also goes by another seldom-used name: eclectic approach.

The process of data collection is different for each method. Typically, you would want to decide whether you will adopt the positivist approach, defining your hypothesis and testing it against reality.

If this is the case, you will be required to take the quantitative approach, collecting numerical data at a large scale (from 30 or more respondents) and testing your hypotheses with this data.

Collecting data from at least 30 respondents/participants ensures reliable statistical analysis . This is especially true for quantitative studies. If the data contains less than 30 responses, it won’t be enough to carry out reliable statistical analyses on such data.

The other option for you would be to base your research on a qualitative approach, which will point you in a direction where you will be investigating broader areas by identifying people’s emotions and perceptions of a subject.

With a qualitative approach, you will have to collect responses from respondents and look at them in all their richness to develop theories about the field you are exploring.

Finally, you can also use a mix of qualitative and quantitative methods (which is becoming increasingly popular among researchers these days). This method is beneficial if you are interested in putting quantitative data into a real-world context or reflecting different perspectives on a subject.

Research philosophy in the ‘research onion.’

This section will require you to clearly specify how you gathered the data and briefly discuss the tools you used to analyse it. For example, you may choose to conduct surveys and/or interviews as part of the data collection process.

It is important to note that your readers or supervisor would want to see a correlation between your findings and the hypothesis/research questions you based your study on at the very beginning.

Your supervisor or dissertation research assistant can play a key role in helping you write the methodology chapter according to established research standards. So, keep your supervisor in the loop to get their contributions and recommendations throughout the process.

In this section, you should briefly describe the methods you’ve used to analyse the data you’ve collected.

Qualitative Methods

The qualitative method includes analysing language, images, audio, videos, or any textual data (textual analysis). The following types of methods are used in textual analysis .

Discourse analysis:

Discourse analysis is an essential aspect of studying a language and its uses in day-to-day life.

Content analysis:

It is a method of studying and retrieving meaningful information from documents Thematic analysis:

It’s a method of identifying patterns of themes in the collected information, such as face-to-face interviews, texts, and transcripts.

Example: After collecting the data, it was checked thoroughly to find the missing information. The interviews were transcribed, and textual analysis was conducted. The repetitions of the text, types of colours displayed, and the tone of the speakers was measured.

Quantitative Methods

Quantitative data analysis is used for analysing numerical data. Include the following points:

Ethical Considerations, Reliability And Limitations Of A Dissertation Methodology

Other important sections of your methodology are:

Ethical Considerations

Always consider how your research will influence other individuals who are beyond the scope of the study. This is especially true for human subjects. As a researcher, you are always expected to make sure that your research and ideas do not harm anyone in any way.Discussion concerning data protection, data handling and data confidentiality will also be included in this brief segment.

Even though there is no established rule to include ethical considerations and limitations within the methodology section, it’s generally recommended to include it in this section, as it makes more sense than including it, say, after the discussions section or within the conclusion.

This is mainly because limitations almost always occur in the methodology stage of research. And ethical considerations need to be taken while sampling, an important aspect of the research methodology.

Here are some examples of ethical issues that you should be mindful of

All such issues should be categorically addressed and a justification provided for your chosen research methodology by highlighting the study’s benefits.

Reliability

Is your research study and findings reliable for other researchers in your field of work? To establish yourself as a reliable researcher, your study should be both authentic and reliable.

Reliability means the extent to which your research can yield similar results if it was replicated in another setting, at a different time, or under different circumstances. If replication occurs and different findings come to light, your (original) research would be deemed unreliable.

Limitations

Good dissertation writers will always acknowledge the limitations of their research study. Limitations in data sampling can decrease your results’ reliability.

A classic example of research limitation is collecting responses from people of a certain age group when you could have targeted a more representative cross-section of the population.Be humble and admit to your own study’s limitations. Doing so makes your referees, editors, supervisors, readers and anyone else involved in the research enterprise aware that you were also aware of the things that limited your study.

Limitations are NOT the same as implications. Sometimes, the two can be confused. Limitations lead to implications, that is, due to a certain factor being absent in the study (limitation) for instance, future research could be carried out in a setting where that factor is present (implication).

Dissertation Methodology Example

At this point, you might have a basic understanding of how to craft a well-written, organised, accurate methodology section for your dissertation. An example might help bring all the aforementioned points home. Here is a dissertation methodology example in pdf to better understand how to write methodology for a dissertation.

Sample Dissertation Methodology

Types of Methodologies

A scientific or lab-based study.

A methodology section for a scientific study will need to elaborate on reproducibility and meticulousness more than anything else. If your methods have obvious flaws, the readers are not going to be impressed. Therefore, it is important to ensure that your chosen research methodology is vigorous in nature.

Any information related to the procedure, setup and equipment should be clearly stated so other researchers in your field of study can work with the same method in the future if needed.

Variables that are likely to falsify your data must be taken into the equation to avoid ambiguities. It is recommended to present a comprehensive strategy to deal with these variables when gathering and analysing the data and drawing conclusions.

Statistical models employed as part of your scientific study will have to be justified, and so your methodology should include details of those statistical models.

Another scholar in the future might use any aspect of your methodology as the starting point for their research. For example, they might base their research on your methodology but analyse the data using other statistical models. Hence, this is something you should be mindful of.

Behavioural Or Social Sciences-Based Dissertation

Like scientific or lab-based research, a behavioural and social sciences methodology needs to be built along the same lines. The chosen methodology should demonstrate reproducibility and firmness so other scholars can use your whole dissertation methodology or a part of it based on their research needs.

But there are additional issues that the researcher must take into consideration when working with human subjects. As a starting point, you will need to decide whether your analysis will be based on qualitative data, quantitative data or mixed-method of research, where qualitative data is used to provide contextual background to quantitative data or the other way around.

Here are some questions for you to consider:

While you will be required to demonstrate that you have taken care of the above questions, it is equally important to make sure that you address your research study’s ethical issues side-by-side.

Of course, the first step in that regard will be to obtain formal approval for your research design from the ethics bodies (such as IRBs – institutional review boards), but still, there will be many more issues that could trigger a sense of grief and discomfort among some of the readers.

Humanities And Arts Dissertation Project

The rigour and dependability of the methods of research employed remain undisputed and unquestionable for humanities and arts-based dissertations as well. However, the way you convince your readers of your dissertation’s thoroughness is slightly different.

Unlike social science dissertation or a scientific study, the methodology of dissertations in arts and humanities subjects needs to be directly linked to the literature review regardless of how innovative your dissertation’s topic might be.

For example, you could demonstrate the relationship between A and B to discover a new theoretical background or use existing theories in a new framework.

The methodology section of humanities and arts-based dissertations is less complex, so there might be no need to justify it in detail. Students can achieve a seamless transition from the literature review to the analysis section.

However, like with every other type of research methodology, it is important to provide a detailed justification of your chosen methodology and relate it to the research problem.

Failing to do so could leave some readers unconvinced of your theoretical foundations’ suitability, which could potentially jeopardise your whole research.

Make sure that you are paying attention to and giving enough information about the social and historical background of the theoretical frameworks your research methodology is based on. This is especially important if there is an essential difference of opinion between your research and the research done on the subject in the past.

A justification of why opposing schools of thought disagree and why you still went ahead to use aspects of these schools of thought in your methodology should be clearly presented for the readers to understand how they would support your readings.

A Dissertation In Creative Arts

Some degree programs in the arts allow students to undertake a portfolio of artworks or creative writing rather than produce an extended dissertation research project.However, in practice, your creative research will be required to be submitted along with a comprehensive evaluative paper, including background information and an explanation that hypothesises your innovative exercise.

While this might seem like an easy thing to do, critical evaluation of someone’s work is highly complex and notorious in nature. This further reinforces the argument of developing a rigorous methodology and adhering to it.

As a scholar, you will be expected to showcase the ability to critically analyse your methodology and show that you are capable of critically evaluating your own creative work.Such an approach will help you justify your method of creating the work, which will give the readers the impression that your research is grounded in theory.

What To Avoid In Methodology?

All chapters of a dissertation paper are interconnected. This means that there will undoubtedly be some information that would overlap between the different chapters of the dissertation .

For example, some of the text material may seem appropriate to both the literature review and methodology sections; you might even end up moving information from pillar to post between different chapters as you edit and improve your dissertation .

However, make sure that you are not making the following a part of your dissertation methodology, even though it may seem appropriate to fit them in there:

A Long Review Of Methods Employed By Previous Researchers

It might seem relevant to include details of the models your dissertation methodology is based on. However, a detailed review of models and precedents used by other scholars and theorists will better fit in the literature review chapter, which you can link back to. This will help the readers understand why you decided to go in favour of or against a certain tactic.

Unnecessary Details Readers Might Not Be Interested In

There is absolutely no need to provide extensive details of things like lab equipment and experiment procedures. Having such information in the methodology chapter would discourage some readers who might not be interested in your equipment, setup, lab environment, etc.

Your aim as the author of the document will be to retain the readers’ interest and make the methodology chapter as readable as possible.

While it is important to get all the information relating to how others can reproduce your experiment, it is equally important to ensure your methodology section isn’t unnecessarily long. Again, additional information is better to be placed within the appendices chapter.

The methodology is not the section to provide raw data, even if you are only discussing the data collection process. All such information should be moved to the appendices section.

Even if you feel some finding or numerical data is crucial to be presented within the methodology section, you can, at most, make brief comments about such data. Its discussion, however, is only allowed in the discussions section .

What Makes Your Methodology Stand Out?

The factors which can determine if your dissertation methodology is ‘great’ depend on many factors, including the level of study you are currently enrolled in.

Undergraduate dissertations are, of course, less complex and less demanding. At most universities in the UK, undergraduate students are required to exhibit the ability to conduct thorough research as they engage for the first time with theoretical and conceptual frameworks in their chosen research area.

As an undergraduate student, you will be expected to showcase the capacity to reproduce what you have learnt from theorists in your academic subject, transform your leanings into a methodology that would help you address the research problem, and test the research hypothesis, as mentioned in the introduction chapter.

A great undergraduate-level dissertation will incorporate different schools of thought and make a valuable contribution to existing knowledge. However, in general, undergraduate-level dissertations’ focus should be to show thorough desk-based and independent research skills.

Postgraduate dissertation papers are much more compound and challenging because they are expected to make a substantial contribution to existing knowledge.

Depending on the academic institute, some postgraduate students are even required to develop a project published by leading academic journals as an approval of their research skills.

It is important to recognise the importance of a postgraduate dissertation towards building your professional career, especially if your work is considered impactful in your area of study and receives citations from multiple scholars, enhancing your reputation in academic communities.

Even if some academics cite your literature review and conclusion in their own work, it is a well-known fact that your methodology framework will result in many more citations regardless of your academic subject.

Other scholars and researchers in your area of study are likely to give much more value to a well-crafted methodology, especially one they can use as the starting point for their own research.

Of course, they can alter, refine and enhance your methodology in one way or another. They can even apply your methodological framework to a new data set or apply it in a completely new situation that is irrelevant to your work.

Finally, postgraduate dissertations are expected to be highly convincing and demonstrate in-depth engagement. They should be reproducible and show rigour, so the findings and conclusions can be regarded as authentic and reliable among scientific and academic communities.

The methodology is the door to success when it comes to dissertation projects. An original methodology that takes into consideration all aspects of research is likely to have an impact on the field of study.

As a postgraduate student, you should ask yourself, Is my dissertation methodology reproducible and transferable? Producing a methodology that others can reproduce in the future is as important as answering research questions .

The methodology chapter can either make or break the grade of your research/dissertation paper. It’s one of the research elements that leave a memorable impression on your readers. So, it would help if you took your time when it comes to choosing the right design and philosophical approach for your research.

Always use authentic academic sources and discuss your plans in detail with your supervisor if you believe your research design or approach has flaws in it.

Did this article help you learn how to write a dissertation methodology and how to structure a dissertation methodology? Let us know in your comments.

Are you struggling to create a thorough and well-rounded dissertation methodology?

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Dissertations 4: methodology: methods.

Primary & Secondary Sources, Primary & Secondary Data

When describing your research methods, you can start by stating what kind of secondary and, if applicable, primary sources you used in your research. Explain why you chose such sources, how well they served your research, and identify possible issues encountered using these sources.

Definitions

There is some confusion on the use of the terms primary and secondary sources, and primary and secondary data. The confusion is also due to disciplinary differences (Lombard 2010). Whilst you are advised to consult the research methods literature in your field, we can generalise as follows:

Secondary sources

Secondary sources normally include the literature (books and articles) with the experts' findings, analysis and discussions on a certain topic (Cottrell, 2014, p123). Secondary sources often interpret primary sources.

Primary sources

Primary sources are "first-hand" information such as raw data, statistics, interviews, surveys, law statutes and law cases. Even literary texts, pictures and films can be primary sources if they are the object of research (rather than, for example, documentaries reporting on something else, in which case they would be secondary sources). The distinction between primary and secondary sources sometimes lies on the use you make of them (Cottrell, 2014, p123).

Primary data

Primary data are data (primary sources) you directly obtained through your empirical work (Saunders, Lewis and Thornhill 2015, p316).

Secondary data

Secondary data are data (primary sources) that were originally collected by someone else (Saunders, Lewis and Thornhill 2015, p316).

Comparison between primary and secondary data

Use

Virtually all research will use secondary sources, at least as background information.

Often, especially at the postgraduate level, it will also use primary sources - secondary and/or primary data. The engagement with primary sources is generally appreciated, as less reliant on others' interpretations, and closer to 'facts'.

The use of primary data, as opposed to secondary data, demonstrates the researcher's effort to do empirical work and find evidence to answer her specific research question and fulfill her specific research objectives. Thus, primary data contribute to the originality of the research.

Ultimately, you should state in this section of the methodology:

What sources and data you are using and why (how are they going to help you answer the research question and/or test the hypothesis.

If using primary data, why you employed certain strategies to collect them.

What the advantages and disadvantages of your strategies to collect the data (also refer to the research in you field and research methods literature).

Quantitative, Qualitative & Mixed Methods

The methodology chapter should reference your use of quantitative research, qualitative research and/or mixed methods. The following is a description of each along with their advantages and disadvantages.

Quantitative research

Quantitative research uses numerical data (quantities) deriving, for example, from experiments, closed questions in surveys, questionnaires, structured interviews or published data sets (Cottrell, 2014, p93). It normally processes and analyses this data using quantitative analysis techniques like tables, graphs and statistics to explore, present and examine relationships and trends within the data (Saunders, Lewis and Thornhill, 2015, p496).

Qualitative research 

Qualitative research is generally undertaken to study human behaviour and psyche. It uses methods like in-depth case studies, open-ended survey questions, unstructured interviews, focus groups, or unstructured observations (Cottrell, 2014, p93). The nature of the data is subjective, and also the analysis of the researcher involves a degree of subjective interpretation. Subjectivity can be controlled for in the research design, or has to be acknowledged as a feature of the research. Subject-specific books on (qualitative) research methods offer guidance on such research designs. 

Mixed methods

Mixed-method approaches combine both qualitative and quantitative methods, and therefore combine the strengths of both types of research. Mixed methods have gained popularity in recent years. 

When undertaking mixed-methods research you can collect the qualitative and quantitative data either concurrently or sequentially. If sequentially, you can for example, start with a few semi-structured interviews, providing qualitative insights, and then design a questionnaire to obtain quantitative evidence that your qualitative findings can also apply to a wider population (Specht, 2019, p138).

Ultimately, your methodology chapter should state:

Whether you used quantitative research, qualitative research or mixed methods.

Why you chose such methods (and refer to research method sources).

Why you rejected other methods.

How well the method served your research.

The problems or limitations you encountered.

Doug Specht, Senior Lecturer at the Westminster School of Media and Communication, explains mixed methods research in the following video:

LinkedIn Learning Video on Academic Research Foundations: Quantitative

The video covers the characteristics of quantitative research, and explains how to approach different parts of the research process, such as creating a solid research question and developing a literature review. He goes over the elements of a study, explains how to collect and analyze data, and shows how to present your data in written and numeric form.

Link to quantitative research video

Some Types of Methods

There are several methods you can use to get primary data. To reiterate, the choice of the methods should depend on your research question/hypothesis.

Whatever methods you will use, you will need to consider:

why did you choose one technique over another? What were the advantages and disadvantages of the technique you chose?

what was the size of your sample? Who made up your sample? How did you select your sample population? Why did you choose that particular sampling strategy?)

ethical considerations (see also tab...)

safety considerations

validity

feasibility

recording

procedure of the research (see box procedural method...).

Check Stella Cottrell's book Dissertations and Project Reports: A Step by Step Guide for some succinct yet comprehensive information on most methods (the following account draws mostly on her work). Check a research methods book in your discipline for more specific guidance.

Experiments

Experiments are useful to investigate cause and effect, when the variables can be tightly controlled. They can test a theory or hypothesis in controlled conditions. Experiments do not prove or disprove an hypothesis, instead they support or not support an hypothesis. When using the empirical and inductive method it is not possible to achieve conclusive results. The results may only be valid until falsified by other experiments and observations.

For more information on Scientific Method, click here .

Observations

Observational methods are useful for in-depth analyses of behaviours in people, animals, organisations, events or phenomena. They can test a theory or products in real life or simulated settings. They generally a qualitative research method.

Questionnaires and surveys

Questionnaires and surveys are useful to gain opinions, attitudes, preferences, understandings on certain matters. They can provide quantitative data that can be collated systematically; qualitative data, if they include opportunities for open-ended responses; or both qualitative and quantitative elements.

Interviews

Interviews are useful to gain rich, qualitative information about individuals' experiences, attitudes or perspectives. With interviews you can follow up immediately on responses for clarification or further details. There are three main types of interviews: structured (following a strict pattern of questions, which expect short answers), semi-structured (following a list of questions, with the opportunity to follow up the answers with improvised questions), and unstructured (following a short list of broad questions, where the respondent can lead more the conversation) (Specht, 2019, p142).

This short video on qualitative interviews discusses best practices and covers qualitative interview design, preparation and data collection methods.

Focus groups

In this case, a group of people (normally, 4-12) is gathered for an interview where the interviewer asks questions to such group of participants. Group interactions and discussions can be highly productive, but the researcher has to beware of the group effect, whereby certain participants and views dominate the interview (Saunders, Lewis and Thornhill 2015, p419). The researcher can try to minimise this by encouraging involvement of all participants and promoting a multiplicity of views.

This video focuses on strategies for conducting research using focus groups.

Check out the guidance on online focus groups by Aliaksandr Herasimenka, which is attached at the bottom of this text box.

Case study

Case studies are often a convenient way to narrow the focus of your research by studying how a theory or literature fares with regard to a specific person, group, organisation, event or other type of entity or phenomenon you identify. Case studies can be researched using other methods, including those described in this section. Case studies give in-depth insights on the particular reality that has been examined, but may not be representative of what happens in general, they may not be generalisable, and may not be relevant to other contexts. These limitations have to be acknowledged by the researcher.

Content analysis

Content analysis consists in the study of words or images within a text. In its broad definition, texts include books, articles, essays, historical documents, speeches, conversations, advertising, interviews, social media posts, films, theatre, paintings or other visuals. Content analysis can be quantitative (e.g. word frequency) or qualitative (e.g. analysing intention and implications of the communication). It can detect propaganda, identify intentions of writers, and can see differences in types of communication (Specht, 2019, p146). Check this page on collecting, cleaning and visualising Twitter data.

Extra links and resources:

Research Methods

A clear and comprehensive overview of research methods by Emerald Publishing. It includes: crowdsourcing as a research tool; mixed methods research; case study; discourse analysis; ground theory; repertory grid; ethnographic method and participant observation; interviews; focus group; action research; analysis of qualitative data; survey design; questionnaires; statistics; experiments; empirical research; literature review; secondary data and archival materials; data collection.

Doing your dissertation during the COVID-19 pandemic

Resources providing guidance on doing dissertation research during the pandemic: Online research methods; Secondary data sources; Webinars, conferences and podcasts;

Virtual Focus Groups Guidance on managing virtual focus groups

5 Minute Methods Videos

The following are a series of useful videos that introduce research methods in five minutes. These resources have been produced by lecturers and students with the University of Westminster's School of Media and Communication.

Case Study Research

Research Ethics

Quantitative Content Analysis

Sequential Analysis

Qualitative Content Analysis

Thematic Analysis

Social Media Research

Mixed Method Research

Procedural Method

In this part, provide an accurate, detailed account of the methods and procedures that were used in the study or the experiment (if applicable!).

Include specifics about participants, sample, materials, design and methods.

If the research involves human subjects, then include a detailed description of who and how many participated along with how the participants were selected.

Describe all materials used for the study, including equipment, written materials and testing instruments.

Identify the study's design and any variables or controls employed.

Write out the steps in the order that they were completed.

Indicate what participants were asked to do, how measurements were taken and any calculations made to raw data collected.

Specify statistical techniques applied to the data to reach your conclusions.

Provide evidence that you incorporated rigor into your research. This is the quality of being thorough and accurate and considers the logic behind your research design.

Highlight any drawbacks that may have limited your ability to conduct your research thoroughly.

You have to provide details to allow others to replicate the experiment and/or verify the data, to test the validity of the research.

Bibliography

Cottrell, S. (2014). Dissertations and project reports: a step by step guide. Hampshire, England: Palgrave Macmillan.

Lombard, E. (2010). Primary and secondary sources. The Journal of Academic Librarianship , 36(3), 250-253

Saunders, M.N.K., Lewis, P. and Thornhill, A. (2015). Research Methods for Business Students. New York: Pearson Education.

Specht, D. (2019). The Media And Communications Study Skills Student Guide . London: University of Westminster Press.

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How to Write a Great Dissertation Methodology

A dissertation methodology is a core part of a dissertation that explains the main philosophical underpinning to the selected research methods, including whether you used quantitative or qualitative methods or both, and why. The methodology section (chapter) comes immediately after the literature review in a dissertation, and you should ensure it flows organically from it.

When writing the methodology in a thesis, you are expected to have done the study. Therefore, you are reporting what you did and MUST be done in the past tense. Here are the things to include in a dissertation methodology.

Now that you know what is methodology in a dissertation and what to include, the next step is getting the right structure. By the time you get to the methodology, you will have defined the dissertation research questions, and checked how other scholars arrived at their conclusions. So, here is a dissertation methodology layout to help you craft a winning methodology.

Start by Explaining Your Methodology of Study

At the start of the study, you need to define the overall approach of the dissertation. Here, you need to revisit the research questions that you highlighted at the beginning of the dissertation. Also, indicate the type of data that was required to answer the questions.

When doing a quantitative study, the aim might be to generate generalizable information about the leading causes of a specific problem. In the study, you need to have a clear representative sample as well as controlled variables that can be replicated in other studies.

In a qualitative study, a researcher might target to generate a real-world understanding of the social structures and behaviors of a specific group of people. But because qualitative studies are less controlled, it is important to be extra careful, ensuring to comprehend how perceptions and participation affect the results.

Example in a Dissertation Methodology

The report utilizes a quantitative research methodology to explore the research questions because it allows the researcher to do an in-depth exploration of the new distribution patterns in cases of obesity in children.

Describe the Methods You Used for Data Collection

Once you have introduced the approach of the methodology, go to the next step of providing full details of the methods that you employed. Here, you provide the tools, materials, and procedures that were used when collecting data.

Quantitative Methods

Some of the common methods you can use when doing a quantitative dissertation methodology include:

Surveys: With surveys, you should describe where, when, and how the survey was done. Experiments: Provide full details of the techniques, procedures and tools that were used. Existing data: Here, you explain the process you used to gather data and the materials used in your analysis.

Qualitative Methods

If your methodology of the study is qualitative, here are the methods to consider:

Interviews: You describe how, when, and where interviews were done. Observations: Again, you describe when, where and who did the observations. Current data: Here, you should demonstrate how the selected materials were selected for analysis.

Dissertation Methodology Example: Qualitative Method

To get a better insight into the possibility of enhancing products range, we used structured interviews administered to 20 returning customers of Business A. A returning customer is a person who is a repeat client in Business A. We used the survey to identify the people who were between the ages of 22 years and 50 years. Interviews were done in the general manager’s boardroom and took 15 minutes each. Answers were recorded by taking notes and filming. Five respondents opted not to be filed.

Describe the Method Used for Analysis

The next step is showing how you processed and analyzed the data. Here, you should ensure to provide all the information, but be as concise as possible.

Methodology Section Example: Analysis Method Description

After the interviews, the information was transcribed, and additional thematic analysis is done. This included coding the data before identifying the main themes and reviewing them. Further, every theme was examined to gain insights into the participants’ motivations.

Justify Your Methodology

Finally, you need to demonstrate why you selected the specific method of study, especially if you did not use the standard approaches. Tell the reader how the new method helps to advance knowledge in your field of study. Go a step further and highlight the key limitations that you encountered. However, show that the strengths outweighed the weaknesses.

Dissertation Methodology Justification Example

Laboratory experiments are not always 100% accurate, especially when simulating real-life behaviors. However, they work pretty effectively when analyzing casual relationships between different research variables.

Tips on How to Write a Methodology Section

When working on the research methodology of your dissertation, you need to appreciate that the goal is not to simply describe them, but to demonstrate why and how you used them. So, here are some useful tips to help you perfect the dissertation.

Seek Professional Writing Help with Dissertation Methodology

With the above steps and pro tips, writing a dissertation methodology section should now be easy. Start by making sure that you understand the methodology definition, and then follow the step-by-step guide we provided in this post. But if you encounter difficulties trying to craft your methodology, consider working with expert writers . They are experienced, affordable, and guarantee you one thing: the best dissertation methodology.

Everything About Dissertation Methodology

Updated 05 Dec 2022

Dissertations are highly important not only as standard evaluation tools in awarding degrees to undergraduates, Masters, or PhD students – these are also important because they teach students how to work with academic literature and information sources within their fields, how to analyse, integrate, present complex data from different sources, how to properly cite evidence, formulate research goals, objectives, hypotheses, etc. Importantly, they also teach students to work with dissertation methodology – an ability that is of great use in the information society.

What Is Dissertation Methodology?

A methodology section is the dissertation part that answers two key questions: how exactly research is performed and why exactly it is performed the way it is? These questions address: data collection techniques, sampling techniques, data analysis strategies, theoretical frameworks used to model processes and phenomena – their use must be justified considering alternative techniques/ methods. A proper dissertation methodology structure is expected to:

Common Types of Dissertation Methodology

Depending on the discipline, one can distinguish several types of studies:

Scientific studies

Methods should be described precisely, concisely, comprehensively, without leaving place for speculation – all these to prioritize transparency and reproducibility. Such studies normally list and describe, equipment, techniques, model organisms, experimental designs, including various controls.

Studies in social or behavioural sciences

These studies might use qualitative, quantitative, or mixed approaches, particularly surveys, interviews, observation, controlled experiments. Methods must be compliant with ethical norms as stated, for instance, by the Research Ethics Service supports ethical research in the NHS.

Critical dissertations in arts or humanities

Here, methodology is not as defined as in scientific works, but is still required. Methods may be represented by innovative and creative theoretical frameworks, for instance, combining different schools of thought, or by application of a certain framework in a new context – all these need to be clearly justified.

Creative arts dissertations

Some international programs in arts require a creative sample or portfolio of written or visual artwork along with a critical auto-evaluation text that tries to make authors take a detached perspective and reflect on the methodology of creating their own art.

5 Common Dissertation Research Methods

The methodology section of dissertation is typically a combination of methods, many of which are discipline-specific. Some frequently employed methods are as follows:

These are direct face-to-face (or telephone/ Internet) conversations in which comprehensive and personal answers can be provided, which qualifies them as primarily qualitative methods. Questions can be adaptive.

Questionnaire

Subjects are presented with lists of questions, typically with standardized answers to pick from, hence, questionnaire-based surveys typically serve as quantitative tools.

This involves observing individuals/ animals/ systems, typically, to make conclusions about their behaviour in specific circumstances. controlled experiments – these are experiments that are manipulated so that a single variable is tested at a time. Independent variables are altered to witness how systems, organisms, on dependent variables are impacted.

Computer simulations

These implement models that aim to describe and predict the behaviour of various systems, including living systems. https://www.youtube.com/watch?v=lg0uLSj8uuI

Example of a Methodology Section

Below is a dissertation methodology example for a biological project focussing on just one objective: Objective: to prove successful creation of a fusion protein between a DNA-binding domain (zinc-finger) recognizing a unique DNA sequence and an enzyme participating in a bacterial biosynthetic pathway, which produces a violet pigment from a precursor chemical; and to prove that this fusion protein has not lost its function, while also becoming capable of binding DNA specifically. This objective is very easy to test using very simple biophysical laboratory techniques. Methodology (2 controlled experiments): To test whether protein function has not been impaired, the unaltered enzyme was compared to the fusion construct by using a colorimetric assay – the concentration of the violet end product is assessed by measuring light absorption at the wavelength-specific for violet light - 450 nm. (Increased light absorption indicates presence end product adundence, hence, an active enzyme). Equivalent amounts of each enzyme were added to 1 ml vials containing solution with the chemical precursor (5% concentration). Synthesis of the violet-coloured end product was monitored at time intervals of 1, 2, 5, 10, and 20 minutes for each protein and obtained time-series were compared. This assay is the most direct, simple, and effective way of testing protein function, hence, it was chosen as a preferred method – especially considering that it yields quantitative results (and even allows temporal resolution). To test whether this fusion construct forms a complex (binds) the target DNA sequence, electrophoretic mobility shift analysis was used on a polyacrylamide gel of X% for a total duration of 20 minutes. This assay is an electrophoresis experiment that tests migration of three biological samples in three distinct lanes: lane 1 has only DNA with the target sequence (negative control), lane 2 contains DNA and non-binding protein, and lane 3 contains DNA plus binding protein (our fusion construct). Only DNA is imaged. Unlike in lanes 1 and 2, in lane 3, the heavier DNA-protein complex formed is expected to migrate slower in an electric field, which demonstrates DNA binding. This assay is a standard molecular biology technique and was chosen because it is very straightforward, cheap, easy to perform, and very informative. In particular, one can also assess DNA-protein complex stability – if binding is weak, dissociation happens, which yields another band in lane 3 (corresponding to the unbound DNA in lanes 1 and 2). Now that we’ve explored how to write a methodology for a dissertation as well as the studies types and their corresponding methodology, it should be easier to visualize and conclude which type is suitable for a given research paper or project. Besides, it should be clearer now how to produce a good methodology structure.

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Example Dissertation Methodologies

The example dissertation methodologies below were submitted to UKDiss.com to help you with your own studies. If you are looking for dissertation methodology examples to help inspire your own then take a look at the below examples covering various subjects.

For help with writing your dissertation methodology, see our guide on how to write a methodology . We also offer a comprehensive writing service provided by fully qualified academics in your field of study.

Dissertation Methodologies & Related Services

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Writing your dissertation methodology

(Last updated: 12 May 2021)

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We have helped 10,000s of undergraduate, Masters and PhD students to maximise their grades in essays, dissertations, model-exam answers, applications and other materials. If you would like a free chat about your project with one of our UK staff, then please just reach out on one of the methods below.

What is a methodology?

Your methodology section appears immediately after the literature review in your dissertation, and should flow organically from it. Up until the point of writing your methodology, you will have defined your research question and conducted a detailed review of what other scholars in the field have to say about your topic. You’ll have also reviewed the ways in which these scholars have arrived at their conclusions – the assumptions on which their work is based, the theoretical frameworks they've used, and the methods they've used to gather, marshal and present their data. You will have used these observations, along with discussions with your supervisor, to plan how you're going to tackle your research question. This could be planning how you'll gather data, or what models you'll use to process it, or what philosophical positions most inform your work. Following this, your dissertation methodology provides a detailed account of both how you'll approach your dissertation and why you've taken the decision to approach it in the way you have.

What should my methodology look like?

Your methodology needs to establish a clear relationship between your research question, the existing scholarship in your field that you have surveyed as part of your literature review, and the means by which you'll come to your conclusions. Therefore, no matter what subject area you're working in, your methodology section will include the following:

Key to justifying your methodology is demonstrating that it is fit for the purpose of answering the research problem or questions you posed at the start. You should recap the key questions you want to answer when introducing your methodology, but this doesn't have to be a word-for-word restatement; you might want to reword the problem in a way that bridges your literature review and methodology.

This is the heart of the methodology but is not, by itself, a methodology. This is the part of your methodology where you clearly explain your process for gathering and analysing data, or for approaching your research question. This should be clear and detailed enough that another scholar is able to read it and apply it in some way, outside of the immediate context of your dissertation. If you're offering a new theoretical take on a literary work or a philosophical problem, your reader should be able to understand your theory enough that they can apply it to another text or problem. If you're describing a scientific experiment, your reader should have all they need to recreate your experiment in a lab. If you're introducing a new type of statistical model, your reader should be able to apply this model to their own data set after reading your methodology section.

Your methodology doesn't just describe your method; it discusses the reasons why you've chosen it, and why you believe it will yield the best results, the most insightful set of analyses and conclusions, or the most innovative perspective. This will draw in part from your literature review , presenting your choices as informed and rooted in sound scholarship, while ideally also displaying innovation and creativity. You should also ensure that you relate the rationale for your method explicitly to your research problem; it should be very clear to your reader that the methodology you've chosen is a thoughtful and tailored response to the questions you're trying to answer.

No research method is perfect, and it's likely that the one you've chosen comes with certain trade-offs. You might, for instance, have chosen a small-scale set of interviews because the individual perspectives of a set of interviewees on the problem you're exploring is more valuable to you than a larger set of data about responses to the same question. But that means you've nevertheless sacrificed a quantitative approach to your problem that might have yielded its own set of important insights. Be honest and upfront – but not apologetic – about the limitations of your chosen method, and be ready to justify why it's the best approach for your purposes.

While the outline of your methodology section will look much the same regardless of your discipline, the details are liable to be quite different depending on the subject area in which you're studying. Let's take a look at some of the most common types of dissertation, and the information required in a methodology section for each of them.

Common types of dissertation methodology

A scientific study The methodology section for a scientific study needs to emphasise rigour and reproducibility above all else. Your methods must appear robust to the reader, with no obvious flaws in the design or execution. You should not only include the necessary information about your equipment, lab setup, and procedure to allow another researcher to reproduce your method; you should also demonstrate that you've factored any variables that are likely to distort your data (for example, by introducing false positives into your design), and that you have a plan to handle these either in collecting, analysing, or drawing conclusions from your data.

Your methodology should also include details of – and justifications for – the statistical models you'll use to analyse your data. Remember that a scholar might use any single part of your methodology as a departure point for their own work; they might follow your experiment design but choose a different model for analysing the results, or vice versa!

A study in the social or behavioural sciences As with a scientific study, a social or behavioural sciences methodology needs to demonstrate both rigour and reproducibility, allowing another researcher to reproduce your study in whole or in part for their own ends. However, the complexity of working with human subjects means there are a number of additional questions to consider. First of all, you'll want to answer certain broad questions about the kind of analysis you're undertaking: is it qualitative or quantitative, or a mixed approach that uses qualitative data to provide context and background to quantitative data (or vice versa)? Will you be conducting recorded interviews with your subjects, asking them to complete a written questionnaire, or observing them undertaking some activity or other? Or will you avoid doing your own research with human subjects at all, and base your research on documentary evidence or a pre-existing data set? What is the scope of your data and conclusions? Is there reason to believe it can be generalised to other contexts, or is it highly specific to the particular location or cultural context in which you conducted your research?

In addition to answering all these questions, you must satisfy your reader that you have considered all the ethical questions associated with your research. Part of this, of course, entails obtaining sign-off for your design from the appropriate ethics bodies, but even then there might be aspects of your study – inviting subjects to relive episodes of grief and trauma, for instance, or broaching culturally sensitive matters within a particular target group – that some readers could consider contentious or problematic. Make sure you address such concerns head-on, and if necessary justify your methods by emphasising the potential value of your conclusions.

A critical dissertation in the arts or humanities Methodological rigour is just as valuable in the arts and humanities as in the sciences and social sciences. However, if you're writing an arts or humanities dissertation the way in which you convey this rigour – and convince your audience of it - is a little different. The methodology section in an arts or humanities dissertation is likely to be much more closely linked to the literature review than a scientific or social sciences study; even the most innovative dissertation in the arts or humanities typically involves applying X's theories in a new context, or combining X and Y's insights to yield a new theoretical framework. For this reason it can be tempting to gloss over the methodology section in an arts or humanities dissertation, and move more or less seamlessly from literature review into analysis. But it's crucial that you provide a detailed justification of your chosen frameworks and how they relate to your research question here too; without this justification a critical reader may very well take issue with your entire analysis because you've failed to convince them of the appropriateness of your theoretical underpinnings to the material you're analysing.

In particular, it's vitally important that your dissertation methodology shows an appreciation of the historical and cultural contexts of the theoretical frameworks you use, especially where there's fundamental disagreement between theorists. If you use the work of theorists from differing or even opposing schools of thought to support your readings, your methodology section should show a clear understanding of how these schools of thought disagree and a justification of why there are nevertheless aspects of each approach that you've decided to use in your own work.

A creative arts dissertation Many programmes in the arts offer the option of completing a creative rather than critical dissertation; that is, of submitting a piece of creative writing or a portfolio of artworks, rather than an extended critical project, for the dissertation component of the programme. However, in virtually all cases, your creative project must be accompanied by a substantial critical essay (or introduction, or commentary) that theorises your creative practice. Critically engaging with one's own work is a notoriously difficult thing to do, which makes the development and adherence to a rigorous methodology especially important in this context. You need to not only show that you're capable of detaching yourself from your own creative work and viewing it through an objective lens, but that you are able to see your own creative practice as methodology – as a method of creating work that is grounded in theory and research and that can be evaluated against clear target goals.

What should my methodology not contain?

No part of your dissertation should be hermetically sealed off from the others, and there will undoubtedly be some overlap between your methodology and literature review section, for example. You might even find yourself moving material back and forth between sections during edits. But you should resist the temptation to include the following in your dissertation methodology, even if they seem to belong there quite naturally:

It's likely you'll want to refer to precedents for your dissertation methodology, and to the theorists or practitioners upon whose work it is based, as you describe your own methodology. However, this is not the place for an exhaustive review of methodologies you're not using – that work belongs in your literature review chapter , and you should refer back to that chapter for context on why you're taking (or not taking) a particular approach.

Your methodology section should equip a reader to reproduce your research, but it should also be a readable chapter of your dissertation and should retain the interest of somebody who doesn't necessarily want to reproduce your experiment from start to finish. If it's possible to convey all the information another scholar would need in order to recreate your work in the body of your dissertation, do so; however if your methodology section starts to look like a shopping list, you should move some very detailed content into an appendix and refer to that.

The methodology section is not the place to reproduce any data, even if you're illustrating how a questionnaire or other data-gathering mechanic works. Again, you can place such information in an appendix and refer to it.

Deciding on your methodology

When you start your dissertation project, you may already have some broad ideas about the methodology you want to use. You'll refine these ideas in conversation with your supervisor and develop them further as you read about the previous work that has been done in your field, and other scholars' approach to your subject area. If you're completing a postgraduate dissertation , the chances are you already have a broad awareness of the different theoretical positions and schools of thought in your field, and you may well have a good idea of the schools of thought with which you most closely identify (and, just as importantly, those you don't identify with). If you're writing an undergraduate dissertation , this may very well be the first time you've been asked to engage with such a broad field of literature, and categorising this into distinct approaches and schools of thought may seem like an overwhelming task at first.

Regardless of your level, your dissertation methodology will develop as you review the literature in your field and refine your initial research questions. Your literature review and methodology will therefore develop in tandem with each other. Your response to the literature will help you decide on the approach you want to take to your research question, but your methodology will probably already be decided by the time you actually write up your literature review, meaning that you can frame it so as to position the methodology as a clear, organic and natural progression from your survey of the field. It should be noted, of course, that your methodology won't only be determined by the modes of inquiry or schools of thought that appeal to you most; there are likely to be practical considerations that determine how you approach your problem. Unless you happen to have access to a particle accelerator at your university, the chances are your quantum physics project will be based on theoretical projections rather than physical experimental data.

What makes a great methodology?

The answer to this question depends in part upon whether you're writing an undergraduate or postgraduate dissertation. For most students, an undergraduate dissertation is their first opportunity to engage in detail with scholarship in their fields and to design and conduct a rigorous research project. In an undergraduate dissertation, you therefore need to show a capacity to engage with a broad field of research, to synthesise diverse and even opposing approaches to a problem, and to distil this down into a design for a research project that will address your research questions with the appropriate level of scholarly level. The ability to synthesise what you've learned from scholars in your discipline, and to shape that into a methodology that you can use to shed light on your research question, is, therefore, key to a successful undergraduate dissertation. The best undergraduate dissertations will of course show originality of thought and may even be able to make an original contribution to their field – but the focus will generally be on demonstrating that you have the fundamental research skills to undertake investigative work in your field.

"The ability to synthesise what you've learned from scholars in your discipline, and to shape that into a methodology that sheds light on your research question, is key to a successful undergraduate dissertation."

A postgraduate dissertation , by contrast, can be expected to make a substantial contribution of high-quality, original research to its field. The best postgraduate dissertations will be publishable by leading journals, or even as scholarly monographs. As you build your career as an early career researcher, the impact of your dissertation on its field – as measured by citations in the work of other scholars – will be crucial to enhancing your academic reputation. It's important to remember that the dissertation's value to other scholars won't just be its findings or conclusions, and that your research's emerging importance to the field will be measured by the number of scholars who engage with it, not those who agree with it. Although some scholars may well cite your conclusions as a basis for their own work, a far greater number of citations is likely to result (regardless of discipline) from your development of a framework that other scholars can use as a point of departure for their own work. If you've come up with a methodology that is both original and grounded in the research, this will probably be the aspect of your work that other scholars value the most. Their own work might build upon, develop or modify your methodology in some way; they might apply your methodology to a different data set in order to contest your findings, or they might even take it and apply it in a new context that hadn't even occurred to you!

The best postgraduate dissertations are those that convince at every level – that are based on a rigorous engagement with the field, that develop reproducible frameworks for engaging with that field, and that supply high-quality and convincing results and conclusions. But the methodology is the central point around which the dissertation – and its potential impact to the field – pivots. When developing and presenting your dissertation methodology, you should therefore think not just about how well it can answer your particular question, but also about how transferable it is – whether it can be used by other scholars to answer related questions, or whether it can be made more adaptable with just a few tweaks (without compromising your own use of it, of course). And when presenting your dissertation, don't forget to emphasise the value of the methodological framework you develop, if it is indeed adaptable to other related contexts. You're underselling your research if you suggest its only value lies in its conclusions, when the approach it takes to your data or source material in arriving at those conclusions is potentially of equal if not greater value.

Presenting your methodology

Your dissertation methodology, as we've now discussed in some detail, is the engine that drives your dissertation, and as such it needs to be grounded, theoretically rigorous, and, where possible, sufficiently adaptable to be used in other contexts to answer different research questions within your field. However, in focusing on all this it's easy to forget that all dissertations – even the seemingly driest, most scientific of them – are fundamentally pieces of persuasive writing: their primary purpose is to convince readers of the quality of your research, the validity of your methods, and the merit of your conclusions. A crucial but often neglected component of this persuasive function is the role of rhetoric in persuading your audience of the merits of your work. Rhetoric has acquired something of a bad name in mainstream discourse (phrases like "pure rhetoric" or "empty rhetoric" tend to signify superficiality and/or dishonesty – and certainly nothing positive!) but it's an important component of all types of academic writing, and it's particularly valuable when you're attempting to convince your reader of the validity of a particular choice – like your choice of methodology.

In their seminal book on scholarly writing, "They Say / I Say": The Moves That Matter in Academic Writing , Gerald Graff and Cathy Birkenstein discuss what they call the art of metacommentary, "a way of commenting on your claims and telling others how – and how not – to think about them". This kind of commentary allows you to control the agenda for discussion of your work, and to head off potential objections to your arguments and methods at the pass. Sound rhetorical presentation of your methodology is not just "decoration" – it forms an integral part of its overall rigour and structural soundness, and can make the difference between a 2:1 and a First, or between a merit and a Distinction. Here are some of the ways in which you can use metacommentary to shape your audience's response to your methodology.

The roads not taken It's very likely that the approach you've taken to your research question is one of many approaches you could have taken – and in your literature review you probably engaged with or read about lots of approaches that, for one reason or another, you decided not to take. Your methodology chapter is not the place to go into detail about these methodologies (hopefully your literature review does this), but you should remind your reader that you actively considered these other methodologies before deciding on your own. Even if you decided on your methodology early on in your research process, it should appear rhetorically as the result of a careful weighing of competing factors, before you decided on the most logical choice.

A little reassurance goes a long way Judicious use of metacommentary can also help to make up for any shortcomings in your methodology section, or simply create a sense of balance between scholarly groundedness and innovation if your methodology might seem to veer a little too much in one direction or another. If your methodology takes a bold new step that some may find off-putting, you can acknowledge this whilst taking extra care to emphasise its grounded relationship to established work in the field. You might, for instance, ensure that you refer back to your literature review frequently and use phrases like, "This approach may seem like a significant departure from established approaches to this field, but it combines the proven data-gathering techniques of X with the statistical analysis model of Y, along with the following innovations". Conversely, if your methodology is mostly derivative or a synthesis of what has come before, use the opportunity to spell out why this synthesis is in itself innovative, for example, "This project's key innovation does not lie in its approach to human subjects or in the statistical models it employs, but rather in the combination of approach of theory X and approach Y to problem Z”.

Signposting Flagging what each section of an argument is doing is vital throughout the dissertation, but nowhere more so than in the methodology section. You can significantly strengthen the justification you provide for your dissertation methodology by referring back to your literature review and reminding your reader of conclusions you've drawn – and if you're feeling really confident you can gently hint to your readers that they agreed with you, using a formulation like, "As we have seen, method X is extremely useful for approaching questions related to Y, but less applicable to problem Z". You should be careful with this approach, of course – claiming you've proved something when this transparently isn't the case isn't going to bring your readers onside – but if your argumentation is already strong, rhetorical techniques like this can help underline the structural coherence of your work.

Defining your own terms If you don't define your own measures for success and failure, readers can infer from the overall structure of your argument the terms on which it was trying to succeed, and judge it accordingly. On the other hand, defining your own set of success criteria and help (within reason) helps to ensure that your readers evaluate your work on these terms. Again, your dissertation methodology is a critical space in which to establish these criteria: "This research does not make any claims about human social behaviour while consuming alcohol beyond the current context of X. It may, however, be possible to adapt the methodology to examine similar phenomena in contexts Y and Z”. By the same token, you can also prevent your readers from drawing unintended inferences from your work by anticipating them: "By adopting this methodology I am not suggesting that the statistical analysis of responses will be a reliable predictor of X; I do, however, believe that the strong correlation between Y and Z is in and of itself a valuable insight”.

In summary…

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Dissertation Methodology

Ah, and now you’ve come to the longest section of a well-written dissertation. The methodology and discussion section is the most important part of the paper; in this section, the student presents the research methods used to obtain data and discusses how to interpret that data within the topic of the paper itself. This section can be painstaking to write: it is often at least 20 to 30 pages or more, depending on the subject and research conducted on the topic. While the methodology section focuses on what type of research was used and why this type of research was used, the discussion part explores what the data means. It contextualizes the data so the reader understands its relevancy to the argument presented in the dissertation itself. This section often contains visual aids such as charts and graphs to better understand dense data.

The Methodology Section

This section should outline the chronological research the student conducted to gain data regarding the topic. It should explain the research methods and why they were chosen. In essence, this section provides enough information so another student could duplicate the research and evaluate his or her results. This section should be scientific and focus exclusively on the methods used to obtain data.

The Discussion Section

The second half of a dissertation Methodology and Discussion section focuses on interrupting the data collected during the research process. This section, as it clearly states, is where the student discusses the data, what it means, and how its implications to the greater world. A clear methodology section incorporates a variety of analysis words such as shows, proves, suggests, and demonstrates among many others.

Tips for Writing

As with all academic papers, a this section should be written in the active passive instead of passive voice. This works to keep the reader’s attention with the use of vivid verbs. It should also be grammatically perfect and avoid poorly written sentences such as run-ons, comma splices, and fragments. However, here’s the best tip DissertationChamps can offer when writing a dissertation methodology and discussion section: take notes on your research process as you’re doing it! Taking excellent notes about your research, while you’re in the middle of the research process will be extremely useful when you go to write about how you obtained the data you did! Also, it’s a good idea to keep track of your sources so you can refer to them in the discussion.

How can DissertationChamps Help?

Great question! We can provide high quality dissertation help any student with their dissertation methodology and discussion section. First, we offer professional writers knowledgeable in all subjects and disciplines. Our professional dissertation writers understand the English language inside and out and won’t make grammatical errors such as run-ons and fragments. This is our business; we never take a job we can’t deliver—so if we take your job, you know that we’ll deliver on time. Finally, we are industry leaders in the professional writing services field; we offer both a plagiarism-free warranty as well as a money back guarantee.

Struggling with a dissertation writing?

Dissertation Structure & Layout 101: How to structure your dissertation, thesis or research project.

By: Derek Jansen (MBA) Reviewed By: David Phair (PhD) | July 2019

So, you’ve got a decent understanding of what a dissertation is , you’ve chosen your topic and hopefully you’ve received approval for your research proposal . Awesome! Now its time to start the actual dissertation or thesis writing journey.

To craft a high-quality document, the very first thing you need to understand is dissertation structure . In this post, we’ll walk you through the generic dissertation structure and layout, step by step. We’ll start with the big picture, and then zoom into each chapter to briefly discuss the core contents. If you’re just starting out on your research journey, you should start with this post, which covers the big-picture process of how to write a dissertation or thesis .

Dissertation structure and layout - the basics

The Caveat

In this post, we’ll be discussing a traditional dissertation/thesis structure and layout, which is generally used for social science research across universities, whether in the US, UK, Europe or Australia. However, some universities may have small variations on this structure (extra chapters, merged chapters, slightly different ordering, etc).

So, always check with your university if they have a prescribed structure or layout that they expect you to work with. If not, it’s safe to assume the structure we’ll discuss here is suitable. And even if they do have a prescribed structure, you’ll still get value from this post as we’ll explain the core contents of each section.

Overview: S tructuring a dissertation or thesis

As I mentioned, some universities will have slight variations on this structure. For example, they want an additional “personal reflection chapter”, or they might prefer the results and discussion chapter to be merged into one. Regardless, the overarching flow will always be the same, as this flow reflects the research process , which we discussed here – i.e.:

In other words, the dissertation structure and layout reflect the research process of asking a well-defined question(s), investigating, and then answering the question – see below.

A dissertation's structure reflect the research process

To restate that – the structure and layout of a dissertation reflect the flow of the overall research process . This is essential to understand, as each chapter will make a lot more sense if you “get” this concept. If you’re not familiar with the research process, read this post before going further.

Right. Now that we’ve covered the big picture, let’s dive a little deeper into the details of each section and chapter. Oh and by the way, you can also grab our free dissertation/thesis template here to help speed things up.

The title page of your dissertation is the very first impression the marker will get of your work, so it pays to invest some time thinking about your title. But what makes for a good title? A strong title needs to be 3 things:

Typically, a good title includes mention of the following:

For example:

A quantitative investigation [research design] into the antecedents of organisational trust [broader area] in the UK retail forex trading market [specific context/area of focus].

Again, some universities may have specific requirements regarding the format and structure of the title, so it’s worth double-checking expectations with your institution (if there’s no mention in the brief or study material).

Acknowledgements

This page provides you with an opportunity to say thank you to those who helped you along your research journey. Generally, it’s optional (and won’t count towards your marks), but it is academic best practice to include this.

So, who do you say thanks to? Well, there’s no prescribed requirements, but it’s common to mention the following people:

There’s no need for lengthy rambling. Just state who you’re thankful to and for what (e.g. thank you to my supervisor, John Doe, for his endless patience and attentiveness) – be sincere. In terms of length, you should keep this to a page or less.

Abstract or executive summary

The dissertation abstract (or executive summary for some degrees) serves to provide the first-time reader (and marker or moderator) with a big-picture view of your research project. It should give them an understanding of the key insights and findings from the research, without them needing to read the rest of the report – in other words, it should be able to stand alone .

For it to stand alone, your abstract should cover the following key points (at a minimum):

So, in much the same way the dissertation structure mimics the research process, your abstract or executive summary should reflect the research process, from the initial stage of asking the original question to the final stage of answering that question.

In practical terms, it’s a good idea to write this section up last , once all your core chapters are complete. Otherwise, you’ll end up writing and rewriting this section multiple times (just wasting time). For a step by step guide on how to write a strong executive summary, check out this post .

Need a helping hand?

This section is straightforward. You’ll typically present your table of contents (TOC) first, followed by the two lists – figures and tables. I recommend that you use Microsoft Word’s automatic table of contents generator to generate your TOC. If you’re not familiar with this functionality, the video below explains it simply:

If you find that your table of contents is overly lengthy, consider removing one level of depth. Oftentimes, this can be done without detracting from the usefulness of the TOC.

Right, now that the “admin” sections are out of the way, its time to move on to your core chapters. These chapters are the heart of your dissertation and are where you’ll earn the marks. The first chapter is the introduction chapter – as you would expect, this is the time to introduce your research…

Now that you’ve investigated the current state of knowledge in your literature review chapter and are familiar with the existing key theories, models and frameworks, its time to design your own research. Enter the methodology chapter – the most “science-ey” of the chapters…

In this chapter, you need to address two critical questions:

Remember, the dissertation part of your degree is first and foremost about developing and demonstrating research skills . Therefore, the markers want to see that you know which methods to use, can clearly articulate why you’ve chosen then, and know how to deploy them effectively.

Importantly, this chapter requires detail – don’t hold back on the specifics. State exactly what you’ll be doing, with who, when, for how long, etc. Moreover, for every design choice you make, make sure you justify it.

In practice, you will likely end up coming back to this chapter once you’ve undertaken all your data collection and analysis, and revise it based on changes you made during the analysis phase. This is perfectly fine. Its natural for you to add an additional analysis technique, scrap an old one, etc based on where your data lead you. Of course, I’m talking about small changes here – not a fundamental switch from qualitative to quantitative, which will likely send your supervisor in a spin!

You’ve now collected your data and undertaken your analysis, whether qualitative, quantitative or mixed methods. In this chapter, you’ll present the raw results of your analysis . For example, in the case of a quant study, you’ll present the demographic data, descriptive statistics, inferential statistics, etc.

Typically, Chapter 4 is simply a presentation and description of the data, not a discussion of the meaning of the data. In other words, it’s descriptive, rather than analytical – the meaning is discussed in Chapter 5. However, some universities will want you to combine chapters 4 and 5, so that you both present and interpret the meaning of the data at the same time. Check with your institution what their preference is.

Now that you’ve presented the data analysis results, its time to interpret and analyse them. In other words, its time to discuss what they mean, especially in relation to your research question(s).

What you discuss here will depend largely on your chosen methodology. For example, if you’ve gone the quantitative route, you might discuss the relationships between variables . If you’ve gone the qualitative route, you might discuss key themes and the meanings thereof. It all depends on what your research design choices were.

Most importantly, you need to discuss your results in relation to your research questions and aims, as well as the existing literature. What do the results tell you about your research questions? Are they aligned with the existing research or at odds? If so, why might this be? Dig deep into your findings and explain what the findings suggest, in plain English.

The final chapter – you’ve made it! Now that you’ve discussed your interpretation of the results, its time to bring it back to the beginning with the conclusion chapter . In other words, its time to (attempt to) answer your original research question s (from way back in chapter 1). Clearly state what your conclusions are in terms of your research questions. This might feel a bit repetitive, as you would have touched on this in the previous chapter, but its important to bring the discussion full circle and explicitly state your answer(s) to the research question(s).

Next, you’ll typically discuss the implications of your findings? In other words, you’ve answered your research questions – but what does this mean for the real world (or even for academia)? What should now be done differently, given the new insight you’ve generated?

Lastly, you should discuss the limitations of your research, as well as what this means for future research in the area. No study is perfect, especially not a Masters-level. Discuss the shortcomings of your research. Perhaps your methodology was limited, perhaps your sample size was small or not representative, etc, etc. Don’t be afraid to critique your work – the markers want to see that you can identify the limitations of your work. This is a strength, not a weakness. Be brutal!

This marks the end of your core chapters – woohoo! From here on out, it’s pretty smooth sailing.

The reference list is straightforward. It should contain a list of all resources cited in your dissertation, in the required format, e.g. APA, Harvard, etc.

It’s essential that you use reference management software for your dissertation. Do NOT try handle your referencing manually – its far too error prone. On a reference list of multiple pages, you’re going to make mistake. To this end, I suggest considering either Mendeley or Zotero. Both are free and provide a very straightforward interface to ensure that your referencing is 100% on point. I’ve included a simple how-to video for the Mendeley software (my personal favourite) below:

Some universities may ask you to include a bibliography, as opposed to a reference list. These two things are not the same . A bibliography is similar to a reference list, except that it also includes resources which informed your thinking but were not directly cited in your dissertation. So, double-check your brief and make sure you use the right one.

The very last piece of the puzzle is the appendix or set of appendices. This is where you’ll include any supporting data and evidence. Importantly, supporting is the keyword here.

Your appendices should provide additional “nice to know”, depth-adding information, which is not critical to the core analysis. Appendices should not be used as a way to cut down word count (see this post which covers how to reduce word count ). In other words, don’t place content that is critical to the core analysis here, just to save word count. You will not earn marks on any content in the appendices, so don’t try to play the system!

Time to recap…

And there you have it – the traditional dissertation structure and layout, from A-Z. To recap, the core structure for a dissertation or thesis is (typically) as follows:

Acknowledgments page

Most importantly, the core chapters should reflect the research process (asking, investigating and answering your research question). Moreover, the research question(s) should form the golden thread throughout your dissertation structure. Everything should revolve around the research questions, and as you’ve seen, they should form both the start point (i.e. introduction chapter) and the endpoint (i.e. conclusion chapter).

I hope this post has provided you with clarity about the traditional dissertation/thesis structure and layout. If you have any questions or comments, please leave a comment below, or feel free to get in touch with us. Also, be sure to check out the rest of the Grad Coach Blog .

Psst… there’s more (for free)

This post is part of our research writing mini-course, which covers everything you need to get started with your dissertation, thesis or research project.

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How To Write A Dissertation Or Thesis 101: Big Picture Guide (With Examples)

27 Comments

many thanks i found it very useful

Glad to hear that, Arun. Good luck writing your dissertation.

Such clear practical logical advice. I very much needed to read this to keep me focused in stead of fretting.. Perfect now ready to start my research!

what about scientific fields like computer or engineering thesis what is the difference in the structure? thank you very much

Thanks so much this helped me a lot!

Very helpful and accessible. What I like most is how practical the advice is along with helpful tools/ links.

Thanks Ade!

Thank you so much sir.. It was really helpful..

You’re welcome!

Hi! How many words maximum should contain the abstract?

Thank you so much 😊 Find this at the right moment

You’re most welcome. Good luck with your dissertation.

best ever benefit i got on right time thank you

Many times Clarity and vision of destination of dissertation is what makes the difference between good ,average and great researchers the same way a great automobile driver is fast with clarity of address and Clear weather conditions .

I guess Great researcher = great ideas + knowledge + great and fast data collection and modeling + great writing + high clarity on all these

You have given immense clarity from start to end.

Morning. Where will I write the definitions of what I’m referring to in my report?

Thank you so much Derek, I was almost lost! Thanks a tonnnn! Have a great day!

Thanks ! so concise and valuable

This was very helpful. Clear and concise. I know exactly what to do now.

Thank you for allowing me to go through briefly. I hope to find time to continue.

Really useful to me. Thanks a thousand times

Very interesting! It will definitely set me and many more for success. highly recommended.

Usefull, thanks a lot. Really clear

That was incredibly useful. Thanks Grad Coach Crew!

My stress level just dropped at least 15 points after watching this. Just starting my thesis for my grad program and I feel a lot more capable now! Thanks for such a clear and helpful video, Emma and the GradCoach team!

Do we need to mention the number of words the dissertation contains in the main document?

It depends on your university’s requirements, so it would be best to check with them 🙂

Such a helpful post to help me get started with structuring my masters dissertation, thank you!

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Research Methods for Dissertation
The research title, research questions, hypothesis, objectives, and study area generally determine the best research method in the dissertation. This post's primary purpose is to highlight what these different types of research methods involve and how you should decide which type of research fits the bill.
Dissertation Specific: Methods
Consider organizing this chapter in the following manner: 1. Introductory paragraph including general research design and organization of chapter 2. Data collection methods (how did you gather your data?) 3. Data analysis methods (how did you analyze your data?) 1. What do I Include in my Introductory Paragraph?
What are acceptable dissertation research methods?
There are two primary dissertation research methods: Qualitative and quantitative. There are two primary dissertation research methods: Qualitative and quantitative. 1. Qualitative Qualitative research focuses on examining the topic via cultural phenomena, human behavior, or belief systems.
Dissertation Methodology
Methodology in dissertation is a general system of scientific knowledge methods. Students usually use them to achieve a research paper goal they set at the beginning of a work. We can say that this is an instrumental basis. How many words should a methodology be in a dissertation? We would say it should be around 20% of the whole work.
Dissertation Methodology
The literature review dissertation methodology involves 4 steps: 1. Develop your research question (s): Like any other type of research, you have to develop a research question first. Then specify the general research area in which you research will fall. Finally, aim to fill the gaps in your literature review. 2.
Dissertation Methodology: Dealing With It The Right Way
A dissertation methodology is one of the sections of a dissertation paper that provides the reader with a clear outline of the methods used during the research. It gives researchers a sense of reliability and validity. The methodology of the study should entail the following components:
Chapter 3
There are many mono-quantitative methods, such as telephone interviews, web-based surveys, postal surveys, and structured questionnaires (Haq 2014). Each instrument has its own pros and cons in terms of quality, time, and data cost.
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Deciding on a topic for your thesis, dissertation or research project is the first step in making sure your research goes as smoothly as possible. The very first step is to check the practical requirements of your educational programme. This determines the scope of what it is possible for you to research.
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Dissertation Methodology. We strive to meet all your needs and relieve you from stress. We offer high-quality dissertations services that cover all chapters, all topics, and all niches. $18.50. The Best Custom Dissertation Writing Service.
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The method you choose will depend on your research objectives and questions. These are the most common qualitative data analysis methods to help you complete your dissertation: 2. Content analysis: This method is used to analyze documented information from texts, email, media and tangible items.
The Top 3 Types of Dissertation Research Explained
Dissertations can take on many forms, based on research and methods of presentation in front of a committee board of academics and experts in the field. Here, we'll focus on the three main types of dissertation research to get you one step closer to earning your doctoral degree. 1. Qualitative
A Complete Guide To Dissertation Methodology
The methodology is perhaps the most challenging and laborious part of the dissertation. Essentially, the methodology helps in understanding the broad, philosophical approach behind the methods of research you chose to employ in your study. The research methodology elaborates on the 'how' part of your research.
Dissertations 4: Methodology: Methods
It includes: crowdsourcing as a research tool; mixed methods research; case study; discourse analysis; ground theory; repertory grid; ethnographic method and participant observation; interviews; focus group; action research; analysis of qualitative data; survey design; questionnaires; statistics; experiments; empirical research; literature …
Dissertation Methodology: How To Hack It Like A Pro
Quantitative Methods Some of the common methods you can use when doing a quantitative dissertation methodology include: Surveys: With surveys, you should describe where, when, and how the survey was done. Experiments: Provide full details of the techniques, procedures and tools that were used.
Dissertation Methodology: The Ultimate Guide of 2023
A proper dissertation methodology structure is expected to: List the original research questions and argue that the methods used are suitable for approaching these questions, based on what is known from literature. Inlist and describe methods, models, design strategies, statistical methods, data analysis pipelines, etc. in such a manner that ...
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DISSERTATION CHAPTERS Order and format of dissertation chapters may vary by institution and department. 1. Introduction 2. Literature review 3. Methodology 4. Findings 5. Analysis and synthesis 6. Conclusions and recommendations Chapter 1: Introduction This chapter makes a case for the signifi-cance of the problem, contextualizes the
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The example dissertation methodologies below were submitted to UKDiss.com to help you with your own studies. If you are looking for dissertation methodology examples to help inspire your own then take a look at the below examples covering various subjects. For help with writing your dissertation methodology, see our guide on how to write a ...
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Again, your dissertation methodology is a critical space in which to establish these criteria: "This research does not make any claims about human social behaviour while consuming alcohol beyond the current context of X. It may, however, be possible to adapt the methodology to examine similar phenomena in contexts Y and Z". By the same token ...
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The second half of a dissertation Methodology and Discussion section focuses on interrupting the data collected during the research process. This section, as it clearly states, is where the student discusses the data, what it means, and how its implications to the greater world. A clear methodology section incorporates a variety of analysis ...
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The methodology, results and discussion chapters go about undertaking new research about this question. The conclusion chapter (attempts to) answer the core research question. In other words, the dissertation structure and layout reflect the research process of asking a well-defined question(s), investigating, and then answering the question ...