best types of dissertation

The 7 Types of Dissertations Explained: Which One is Right for You?

Your dissertation is a pretty big deal and likely represents years of hard slog studying your subject of expertise.

But did you know there are 7 different types of dissertation ?

The purpose of this article is to demystify the various types of dissertations you might encounter or choose to undertake during your advanced studies. Armed with this knowledge, you can select the most appropriate methodology and framework for your research interests and academic requirements.

Each type of dissertation serves a different academic purpose and requires a unique approach and structure. In this article, we’ll take a look at these differences in detail, providing clear explanations and examples from a range of academic disciplines. By the end of this article, you should have a thorough understanding of the options available for your dissertation and be better prepared to select a path that aligns with your research goals and academic ambitions.

Remember, regardless of what type of dissertation you ultimately decide to pursue, best dissertation proofreading can make all the difference between a pass and a fail.

7 Types of Dissertation

Empirical dissertations.

So, let’s dive right in with empirical dissertations—arguably the most hands-on type of dissertation out there. If you’re studying a field like psychology, biology, or social sciences, you’re probably going to become very familiar with this approach.

What exactly is an empirical dissertation?

It’s all about gathering data. You’ll be conducting your own experiments, surveys, or observations, making this type extremely engaging (and a bit daunting). Essentially, you’re collecting new data from the world or from people, rather than relying on existing data from other studies.

The structure of an empirical dissertation is pretty straightforward but involves rigorous methodology. Typically, it will include an introduction to set up your SMART research question , a literature review to justify why this question needs answering, a methodology section that details how you’ve gone about your data collection, a results chapter presenting your findings, and a discussion that ties everything back to your research question and explores the implications.

This type of dissertation not only tests your ability to conduct research and analyze data but also challenges you to apply theoretical knowledge in practical scenarios. By the end of an empirical dissertation, you should not only have answers to your original questions but also a solid chunk of real-world experience under your belt.

Best suited to: Students who are ready to roll up their sleeves and get their hands dirty.

Theoretical Dissertations

Now, shifting gears, let’s talk about theoretical dissertations. If the empirical dissertation is the hands-on, muddy boots kind of research, the theoretical dissertation is its more contemplative, indoor cousin. Perfect for those of you in fields like philosophy, literature, or certain branches of sociology and psychology, where concrete data might not be the main focus.

What’s the deal with theoretical dissertations? They revolve around developing, exploring, or expanding on existing theories. Instead of collecting new data, you invest your time and effort studying existing research and theoretical frameworks to build an argument or propose a new theory or perspective on an old one.

The structure of a theoretical dissertation generally includes a comprehensive introduction where you lay out your thesis or theory, followed by a detailed literature review that supports and provides the foundation for your thesis. After this, you’ll move into a discussion or analysis section, where you critically analyze your thesis in the light of existing theories and literature. The aim here is to offer a fresh or refined perspective that contributes to the existing body of knowledge.

This type of dissertation is a test of your analytical skills and your ability to synthesize complex ideas into a coherent argument. It’s less about creating new paths and more about mapping the ones already laid out in new ways.

Best suited to: Students who love theory and thrive on crafting arguments.

Case Study Dissertations

Next up, it’s case study dissertations. This type of dissertation is especially attractive if you’re someone who loves storytelling with a purpose or is drawn to in-depth analysis of specific events, individuals, or organizations. It’s a favorite in disciplines like business, education, psychology, and social sciences, where a single case can lead to the development of new theories and concepts.

A case study dissertation involves an intensive investigation of a particular individual, group, organization, or event. You’ll get to the nitty gritty of the specifics, examining various aspects of the case to understand its implications and applications. This method allows you to apply theoretical concepts in a real-world context, providing rich insights that aren’t always accessible through broader surveys or experiments.

The structure of a case study dissertation usually starts with an introduction to the chosen case, followed by a literature review that sets the theoretical framework. You then proceed to a detailed methodology section explaining how you collected and analyzed your data. The core of your dissertation will likely be the case analysis chapter, where you dissect the case in relation to your research question. Finally, you’ll conclude with a discussion of how the case impacts the wider field and what new understandings it brings to the fore.

Best suited to: Those who are meticulous and have a keen eye for detail, a case study dissertation allows you to explore the intricacies of a specific example while contributing to broader academic debates.

Comparative Dissertations

Next up is the comparative dissertation. This type is tailor-made for the analytically minded who love drawing connections and distinctions between different elements. It’s particularly prevalent in fields like law, education, political science, and international relations, where understanding differences and similarities across cases, laws, or educational methods can provide critical insights.

Essentially, a comparative dissertation involves systematically comparing and contrasting two or more entities. These could be policies, theories, populations, or even historical periods, depending on your study area. The goal is to identify patterns or discrepancies that reveal underlying principles or suggest new interpretations of data.

The structure of a dissertation of this nature typically includes a dissertation abstract followed by an introduction that defines the entities being compared and poses your research question. This is followed by a literature review that frames the theoretical bases for comparison. The methodology section should clearly outline the criteria and methods for comparison, ensuring transparency and replicability. The subsequent chapters will then detail the comparative analysis, discussing each entity individually before bringing them together for a comprehensive comparison. Finally, the conclusion synthesizes the findings, highlighting the significance of the differences and similarities discovered.

Best suited to: Those who can juggle multiple themes and variables without losing sight of the overarching question, a comparative dissertation challenges you to remain objective and balanced in your analysis.

Project-Based Dissertations

Project-based dissertations are more practical in nature. This type of dissertation is particularly appealing if you’re inclined towards applying your theoretical knowledge to create something tangible or solve a real-world problem. It’s a common choice in fields like engineering, computer science, and applied arts, where the end product can be a piece of software, an engineering prototype, or a design project.

What makes a project-based dissertation stand out? It centers around a project that you will plan, execute, and manage through the duration of your dissertation process. This could involve designing a new gadget, developing a software program, or creating a marketing plan for a startup. The focus is on applying the skills and knowledge you’ve acquired through your studies to produce a project that has practical and theoretical implications.

The structure of a project-based dissertation generally includes an introduction to the project, its objectives, and its relevance to your field. Following this, you’ll provide a literature review that supports the theories and methodologies you intend to use. The methodology section should detail your project plan, resources, and the processes you will follow. The main body of the dissertation will describe the project development and implementation phases in detail. Finally, the conclusion will evaluate the project’s success, its impact, and potential future developments or applications.

Best suited to: The innovative and the practical, a project-based dissertation allows you to showcase your ability to deliver a concrete outcome that demonstrates your professional capabilities.

Narrative Dissertations

If you’re drawn to writing and storytelling, a narrative dissertation might be right up your alley. This type is particularly popular in fields such as creative arts, literature, and education, where personal narratives or creative elements can be used to explore and communicate complex ideas.

What does a narrative dissertation involve? It’s about crafting a dissertation that primarily uses narrative techniques to convey research findings or explore scholarly questions. This could mean writing in a first-person perspective, incorporating fictional elements, or structuring the dissertation like a series of interconnected stories or essays.

The structure of a narrative dissertation often deviates from the traditional format. It begins with an introduction that sets the stage for the narrative journey. The literature review might be woven into the narrative itself, providing contextual background as the story unfolds. The methodology section explains how narrative methods will be used to explore the research question. The main body is where the narrative takes center stage, presenting research through personal reflections, storytelling, or hypothetical scenarios. The conclusion then ties all narrative threads together, reflecting on the insights gained and their broader implications.

Best suited to: those who think and express themselves best through stories, a narrative dissertation allows you to engage with your topic in a deeply personal and creative way.

Systematic Review Dissertations

Systematic review dissertations are perfect if you’re keen on synthesizing existing research to draw comprehensive conclusions about a specific topic. This type is particularly valuable in fields like healthcare, psychology, and social sciences, where summarizing and evaluating existing studies can provide powerful insights and inform practice and policy.

A systematic review dissertation involves a rigorous and structured approach to reviewing literature. You’ll gather all relevant data from previously published studies to answer a specific research question. The focus is on transparency and reproducibility, employing predefined methods to minimize bias and provide reliable results.

The structure of a systematic review dissertation typically begins with an introduction that outlines the research question and its significance. This is followed by a methodologically detailed section that explains the criteria for selecting studies, the search strategy used, and the methods for data extraction and synthesis. The results section then presents a detailed analysis of the studies included in the review, often using quantitative methods like meta-analysis. The discussion interprets these findings, considering their implications for the field and any limitations. The conclusion suggests areas for further research and summarizes the contributions made by the review.

Best suited to: Those with a keen eye for detail and a systematic approach to research, a systematic review dissertation can significantly impact by clarifying and summarizing existing knowledge.

Methodological Considerations

Choosing the right type of dissertation is an important decision in your academic journey, and several factors should guide your selection. This section aims to help you navigate these choices, ensuring that the methodology and framework you choose align perfectly with your research goals, available resources, and time constraints.

First, consider your discipline’s requirements and norms. Different fields favor different types of dissertations, so understanding what is expected and respected in your area of study is crucial. Next, think about your own strengths and interests. Choose a dissertation type that not only meets academic criteria but also excites you and plays to your strengths, whether they lie in empirical research, theoretical exploration, practical application, or creative expression.

Resource availability is another critical factor. Some types of dissertations, like empirical and project-based, may require access to specific equipment, software, or locations, which can be a deciding factor. Time constraints are also essential to consider; some dissertations, particularly those involving extensive data collection and analysis, may require more time than others.

Finally, discuss your ideas with your advisor or mentor. They can provide valuable insights and feedback that can help you refine your choice and ensure that you are prepared to tackle the challenges ahead. With the right preparation and understanding of what each type of dissertation entails, you can make an informed decision that sets the stage for a successful and rewarding research endeavor.

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The Top 3 Types of Dissertation Research Explained

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.

What Is a Dissertation?

A dissertation is a published piece of research on a novel topic in your chosen field. Students complete a dissertation as part of a doctoral or PhD program. For most students, a dissertation is the first substantive piece of academic research they will write. 

Because a dissertation becomes a published piece of academic literature that other academics may cite, students must defend it in front of a board of experts consisting of peers in their field, including professors, their advisor, and other industry experts. 

For many students, a dissertation is the first piece of research in a long career full of research. As such, it’s important to choose a topic that’s interesting and engaging.

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:

• Case study research
• Autoethnographies
• Narrative research 
• Grounded theory 

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.

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: 

• What are your personal motivations? 
• What are your academic goals? 

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:

• Which contributions they will make to the field
• Who they hope to collaborate with throughout their studies
• What they hope to take away from the experience personally, professionally and academically

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. 

Find out more about SNU’s online and on-campus education opportunities so that no matter where you are in life, you can choose the path that’s right for you.

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Research Methods for Dissertation – Types with Comparison

Published by Carmen Troy at August 13th, 2021 , Revised On June 14, 2023

Introduction

“Research methods for a dissertation refer to the specific approaches, procedures, and techniques employed by researchers to investigate and gather data for their dissertation projects.”

These methods provide a systematic and structured framework for conducting research, ensuring the reliability, validity, and rigour of the study.

What are the different research methods for the dissertation, and which one should I use?

Choosing the right research method for a dissertation is a grinding and perplexing aspect of the dissertation research process. A well-defined  research methodology  helps you conduct your research in the right direction, validates the  results  of your research, and makes sure that the study you’re conducting answers the set  research questions .

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. As you read through this article, think about which one of these research methods will be the most appropriate for your research.

The practical, personal, and academic reasons for choosing any particular method of research are also analysed. You will find our explanation of experimental , descriptive , historical , quantitative , qualitative , and mixed research methods useful regardless of your field of study.

While choosing the right method of research for your own research, you need to:

• Understand the difference between research methods and  methodology .
• Think about your research topic, research questions, and research objectives to make an intelligent decision.
• Know about various types of research methods so that you can choose the most suitable and convenient method as per your research requirements.

Research Methodology Vs. Research Methods

A well-defined  research methodology  helps you conduct your research in the right direction, validates the  results  of your research, and makes sure that the study you are conducting answers the set  research questions .

Research methods are the techniques and procedures used for conducting research. Choosing the right research method for your writing is an important aspect of the  research process .

You need to either collect data or talk to the people while conducting any research. The research methods can be classified based on this distinction.

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Types of Research Methods

Research methods are broadly divided into six main categories.

Experimental Research Methods

Descriptive research methods, historical research methods, quantitative research methods, qualitative research methods, mixed methods of research.

Experimental research  includes the experiments conducted in the laboratory or observation under controlled conditions. Researchers try to study human behavior by performing various experiments. Experiments can vary from personal and informal natural comparisons. It includes three  types of variables;

• Independent variable
• Dependent variable
• Controlled variable

Types of Experimental Methods

Laboratory experiments

The experiments were conducted in the laboratory. Researchers have control over the variables of the experiment.

Field experiment

The experiments were conducted in the open field and environment of the participants by incorporating a few artificial changes. Researchers do not have control over variables under measurement. Participants know that they are taking part in the experiment.

Natural experiments

The experiment is conducted in the natural environment of the participants. The participants are generally not informed about the experiment being conducted on them.

Example : Estimating the health condition of the population.

Quasi-experiments

A quasi-experiment is an experiment that takes advantage of natural occurrences. Researchers cannot assign random participants to groups.

Example: Comparing the academic performance of the two schools.

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Descriptive research aims at collecting the information to answer the current affairs. It follows the Ex post facto research, which predicts the possible reasons behind the situation that has already occurred. It aims to answer questions like how, what, when, where, and what rather than ‘why.’

In  historical research , an investigator collects, analyses the information to understand, describe, and explain the events that occurred in the past. Researchers try to find out what happened exactly during a certain period of time as accurately and as closely as possible. It does not allow any manipulation or control of variables.

Quantitative research  is associated with numerical data or data that can be measured. It is used to study a large group of population. The information is gathered by performing statistical, mathematical, or computational techniques.

Quantitative research isn’t simply based on  statistical analysis or quantitative techniques but rather uses a certain approach to theory to address research hypotheses or research questions, establish an appropriate research methodology, and draw findings &  conclusions .

Some most commonly employed quantitative research strategies include data-driven dissertations, theory-driven studies, and reflection-driven research. Regardless of the chosen approach, there are some common quantitative research features as listed below.

• Quantitative research is based on testing or building on existing theories proposed by other researchers whilst taking a reflective or extensive route.
• Quantitative research aims to test the research hypothesis or answer established research questions.
• It is primarily justified by positivist or post-positivist research paradigms.
• The  research design can be relationship-based, quasi-experimental, experimental, or descriptive.
• It draws on a small sample to make generalisations to a wider population using probability sampling techniques.
• Quantitative data is gathered according to the established research questions and using research vehicles such as structured observation, structured interviews, surveys, questionnaires, and laboratory results.
• The researcher uses  statistical analysis  tools and techniques to measure variables and gather inferential or descriptive data. In some cases, your tutor or members of the dissertation committee might find it easier to verify your study results with numbers and statistical analysis.
• The accuracy of the study results is based on external and internal validity and the authenticity of the data used.
• Quantitative research answers research questions or tests the hypothesis using charts, graphs, tables, data, and statements.
• It underpins  research questions  or hypotheses and findings to make conclusions.
• The researcher can provide recommendations for future research and expand or test existing theories.

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It is a type of scientific research where a researcher collects evidence to seek answers to a  question . It is associated with studying human behaviour from an informative perspective. It aims at obtaining in-depth details of the problem.

As the term suggests,  qualitative research  is based on qualitative research methods, including participants’ observations, focus groups, and unstructured interviews.

Qualitative research is very different in nature when compared to quantitative research. It takes an established path towards the  research process , how  research questions  are set up, how existing theories are built upon, what research methods are employed, and how the  findings  are unveiled to the readers.

You may adopt conventional methods, including phenomenological research, narrative-based research, grounded theory research,  ethnographies ,  case studies , and auto-ethnographies.

Again, regardless of the chosen approach to qualitative research, your dissertation will have unique key features as listed below.

• The research questions that you aim to answer will expand or even change as the  dissertation writing process continues. This aspect of the research is typically known as an emergent design where the research objectives evolve with time.
• Qualitative research may use existing theories to cultivate new theoretical understandings or fall back on existing theories to support the research process. However, the original goal of testing a certain theoretical understanding remains the same.
• It can be based on various research models, such as critical theory, constructivism, and interpretivism.
• The chosen research design largely influences the analysis and discussion of results and the choices you make. Research design depends on the adopted research path: phenomenological research, narrative-based research, grounded theory-based research, ethnography, case study-based research, or auto-ethnography.
• Qualitative research answers research questions with theoretical sampling, where data gathered from an organisation or people are studied.
• It involves various research methods to gather qualitative data from participants belonging to the field of study. As indicated previously, some of the most notable qualitative research methods include participant observation, focus groups, and unstructured  interviews .
• It incorporates an  inductive process where the researcher analyses and understands the data through his own eyes and judgments to identify concepts and themes that comprehensively depict the researched material.
• The key quality characteristics of qualitative research are transferability, conformity, confirmability, and reliability.
• Results and discussions are largely based on narratives, case study and personal experiences, which help detect inconsistencies, observations, processes, and ideas.s
• Qualitative research discusses theoretical concepts obtained from the results whilst taking research questions and/or hypotheses  to draw general  conclusions .

Now that you know the unique differences between quantitative and qualitative research methods, you may want to learn a bit about primary and secondary research methods.

Here is an article that will help you  distinguish between primary and secondary research and decide whether you need to use quantitative and/or qualitative primary research methods in your dissertation.

Alternatively, you can base your dissertation on secondary research, which is descriptive and explanatory in essence.

Types of Qualitative Research Methods

Action research

Action research  aims at finding an immediate solution to a problem. The researchers can also act as the participants of the research. It is used in the educational field.

A  case study  includes data collection from multiple sources over time. It is widely used in social sciences to study the underlying information, organisation, community, or event. It does not provide any solution to the problem. Researchers cannot act as the participants of the research.

Ethnography

In  this type of research, the researcher examines the people in their natural environment. Ethnographers spend time with people to study people and their culture closely. They can consult the literature before conducting the study.

When you combine quantitative and qualitative methods of research, the resulting approach becomes mixed methods of research.

Over the last few decades, much of the research in academia has been conducted using mixed methods because of the greater legitimacy this particular technique has gained for several reasons including the feeling that combining the two types of research can provide holistic and more dependable results.

Here is what mixed methods of research involve:

• Interpreting and investigating the information gathered through quantitative and qualitative techniques.
• There could be more than one stage of research. Depending on the research topic, occasionally it would be more appropriate to perform qualitative research in the first stage to figure out and investigate a problem to unveil key themes; and conduct quantitative research in stage two of the process for measuring relationships between the themes.

Note: However, this method has one prominent limitation, which is, as previously mentioned, combining qualitative and quantitative research can be difficult because they both are different in terms of design and approach. In many ways, they are contrasting styles of research, and so care must be exercised when basing your dissertation on mixed methods of research.

When choosing a research method for your own dissertation, it would make sense to carefully think about your  research topic ,  research questions , and research objectives to make an intelligent decision in terms of the philosophy of  research design .

Dissertations based on mixed methods of research can be the hardest to tackle even for PhD students.

Our writers have years of experience in writing flawless and to the point mixed methods-based dissertations to be confident that the dissertation they write for you will be according to the technical requirements and the formatting guidelines.

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Please Find Below an Example of Research Methods Section in a Dissertation or Thesis.

Background and Problem

Diversity management became prominent in the late twentieth century, with foundations in America. Historically homogeneous or nondiverse nations, such as Finland, have not yet experienced the issues associated with rising cultural and ethnic diversity in the workforce. Regardless of the environment, workforce diversity garners greater attention and is characterised by its expanding relevance due to globalised and international companies, global and national worker mobility, demographic shifts, or enhancing productivity.

As a result, challenges of diversity management have been handled through legal, financial, and moral pressures (Hayes et al., 2020). The evolving structure of the working population in terms of language, ethnic background, maturity level, faith, or ethnocultural history is said to pose a challenge to human resource management (HRM) in utilising diversity: the understanding, abilities, and expertise prospects of the entire workforce to deal with possible developments.

The European approach to diversity management is regarded as growing. However, it is found to emphasise the relationship to business and lack competence in diversity management problems. Mass immigration concentrates variety, sometimes treated as cultural minority issues, implying the normalisation of anti-discrimination actions (Yadav and Lenka, 2020).

These causes, in turn, have provided the basis of comprehensive diversity research, which has generated different theories, frameworks, concepts, and guidelines from interdisciplinary viewpoints, such as industrial and organisational psychology and behaviour (OB), cultural studies, anthropology, migration, economics, postcolonialism, and so on. And in the form of international, social and cultural, organisational, group, and individual scale diversity analysis. This dissertation focuses on diversity concerns from impression management, specifically from HRM as an executive-level phenomenon (Seliverstova, 2021).

As conceptual frameworks, organisational structures concentrating on the production of diversity and social psychology, notably social identity theory with diverse ‘identities’ of persons or intergroup connections, are primarily employed. The study’s primary goal in the workplace is to discover inequities or examine the effects of diversity on workplace outcomes.

Individual study interests include behaviours, emotions, intelligence, intercultural skills or competencies, while group research interests include group dynamics, intergroup interactions, effectiveness, and cooperation or collaboration. Organisational studies address themes such as workforce composition, workplace equality, and diversity challenges and how they may be managed accordingly. Domestic diversity, omitting national distinctions, or global diversity, about diverse country cultures, might be studied further (AYDIN and ÖZEREN, 2018).

Diversity is a context-dependent, particular, comparative, complicated, plural phrase or idea with varying interpretations in different organisations and cultures and no unified definition. As a result, in addition to many internal and external elements, diversity may be managed, individuals taught, and organisations have grown in various ways. This dissertation considers diversity in an organisational environment as a construct of ‘differences’ to be handled (Cummings, 2018).

Various management systems have grown in stages, bringing diverse diversity management concepts. Equality/equal opportunities (EO) legislation and diversity management are the two conventional approaches and primary streams with differing theoretical foundations for managing and dealing with workforce diversity challenges (DM).

These approaches relate to whether diversity is handled by increasing sameness by legal pressures or by voluntarily respecting people’s differences, which shows an organisation’s responsiveness and proactivity toward managing diversity. But most of the literature in this area has avoided the impression management theories (Coad and Guenther, 2014). Therefore, this study will add a new dimension in this area by introducing impression management analysis.

Research Aim and Objectives

This research aims to analyse the impact of organisational structure on human resources diversification from the viewpoint of impression managerial theory. It has the following objectives:

• It will examine the existing impression management literature to draw insights into the relationship under consideration.
• It will identify various factors such as competency, social inclusion, etc., affecting the management’s decision to recruit diverse human resources.
• It will recommend appropriate organisational structures and HR policies to improve diversification of HR by reviewing impression management theories.

Research Questions

This research will answer the following questions:

• How does organisational structure affect human resources diversification from the viewpoint of impression managerial theory?
• What factors such as competency, social inclusion, etc., affect the management decision to recruit diverse human resources?
• What are appropriate organisational structures and HR policies to improve diversification of HR by reviewing impression management theories?

Research Hypothesis

The organisational structure significantly impacts the recruitment of diverse human resources.

Literature Review

According to Staniec and Zakrzewska-Bielawska (2010), considering strategy-oriented activities and organisational components are the critical foundation in the organisational structure required to align structure strategy. Each company’s internal organisation is somewhat distinctive, resulting from various corporate initiatives and historical conditions.

Furthermore, each design is based on essential success elements and vital tasks inherent in the firm plan. This article offers empirical research on unique organisational structure elements in Polish firms in the context of concentration and diversification tactics. And companies that adopted concentration techniques mainly used functional organisational structures.

Tasks were primarily classified and categorised based on functions and phases of the technical process, with coordination based on hierarchy. Jobs were also highly centralised and formalised. Organisational structures of an active type were also prevalent in many firms. Only a handful of the evaluated organisations possessed flexible contemporary divisional or matrix structures appropriate to differentiation. However, it appears that even such organisations should adjust their organisational solutions to perform successfully in an immensely complex and chaotic environment.

Similarly, according to Yang and Konrad (2011), diversity management techniques are the institutionalised methods created and applied by organisations to manage diversity among all organisational shareholders. They examined the existing research on the causes and significance of diversity management approaches.

They construct a research model indicating many potential routes for future study using institutional and resource-based theories. They also offer prospective avenues for study on diversity management techniques to further the two theoretical viewpoints. The findings indicate that research on diverse management practises might provide perceptions into the two ideologies. Diversity management provides a method for reconciling the agency vs structure issue for institutional concept.

Furthermore, diversity management is a suitable framework for studying how institutional pressures are translated into organisational action and the relationship between complying with institutional mandates and attaining high performance. Research on diversity management raises the importance of environmental normative elements in resource-based reasoning.

It allows for exploring essential resource sources and the co-evolution of diversity resources and management capacities, potentially developing dynamic resource-based theory. Furthermore, a review of the existing research on diversity management practices reveals that research in this field has nearly entirely concentrated on employee-related activities.

However, in establishing the idea of diversity management practises, we included the practises that companies put in place to manage diversity across all stakeholder groups on purpose. Management techniques for engaging with consumers, dealers, supervisors, board directors, and community members are critical for meeting institutional theory’s social and normative commitments.

Moreover, according to Sippola (2014), this research looks at diversity management from the standpoint of HRM. The study aims to discover the effects of expanding workforce diversity on HRM inside firms. This goal will be accomplished through four papers examining diversity management’s impacts on HRM from various viewpoints and mostly in longitudinal contexts.

The purpose of the first article, as a pilot survey, is to determine the reasons, advantages, and problems of rising cultural diversity and the consequences for HRM to get a preliminary grasp of the issue in the specific setting. According to the report, diversity is vital for productivity but is not often emphasised in HRM strategy.

The key areas that were changed were acquisition, development, and growth. The second article examines how different diversity management paradigms recognised in businesses affect HRM. It offers an experimentally verified typology that explains reactive or proactive strategic and operational level HRM activities in light of four alternative diversity management perspectives.

The third essay will examine how a ‘working culture bridge group’ strategy fosters and enhances workplace diversity. The research looks into how development goals are defined, what training and development techniques are used, and the consequences and causal factors when an analysis measures the training and development approach.

The primary goal of article four is to establish which components of diversity management design are globally integrated into multinational corporations (MNCs) and which integrating (delivery) methods are employed to facilitate it. Another goal is to identify the institutional problems faced by the Finnish national diversity setting during the integration process.

The findings show that the example organisation achieved more excellent global uniformity at the level of diversification concept through effective use of multiple frameworks but was forced to rely on a more multinational approach to implementing diversification policies and procedures. The difficulties faced emphasised the distinctiveness of Finland’s cognitive and normative institutional setting for diversity.

Furthermore, according to Guillaume et al. (2017), to compensate for the dual-edged character of demographic workplace diversity impacts on social inclusion, competence, and well-being-related factors, research has shifted away from straightforward main effect methods and begun to investigate factors that moderate these effects.

While there is no shortage of primary research on the circumstances that lead to favourable or poor results, it is unknown which contextual elements make it work. Using the Classification framework as a theoretical lens, they examine variables that moderate the impacts of workplace diversity on social integration, performance, and well-being outcomes, emphasising characteristics that organisations and managers can influence.

They suggest future study directions and end with practical applications. They concluded that faultlines, cross-categorisation, and status variations across demographic groupings highlight variety. Cross-categorisation has been proven to reduce intergroup prejudice while promoting social inclusion, competence, and well-being. Whether faultlines and subgroup status inequalities promote negative or good intergroup interactions and hinder social integration, performance, and well-being depends on whether situational factors encourage negative or positive intergroup connections. The impacts were not mitigated by team size or diversity type.

Furthermore, our data demonstrate that task characteristics are essential for workgroup diversity. Any demographic diversity in workgroups can promote creativity, but only when combined with task-relevant expertise improves the performance of teams undertaking complicated tasks. The type of team and the industrial context do not appear to play an effect. It is unclear if these findings apply to relational demography and organisational diversity impacts. There is some evidence that, under some settings, relational demography may increase creativity, and, as previously said, demographic variety may help firms function in growth-oriented strategy contexts.

Likewise, according to Ali, Tawfeq, and Dler (2020), diversity management refers to organisational strategies that strive to increase the integration of people from diverse backgrounds into the framework of corporate goals. Organisations should develop productive ways to implement diversity management (DM) policies to establish a creative enterprise that can enhance their operations, goods, and services.

Furthermore, human resource management HRM is a clever tool for any firm to manage resources within the company. As a result, this article explores the link between DM, HR policies, and workers’ creative work-related behaviours in firms in Kurdistan’s Fayoum city. According to the questionnaire, two hypotheses were tested: the influence of HRM on diversity management, HRM on innovation, and the impact of diversity management on innovation.

The first premise is that workplace diversity changes the nature of working relationships, how supervisors and managers connect, and how workers respond to one another. It also addresses human resource functions such as record-keeping, training, recruiting, and employee competence needs. The last premise on the influence of diversity management on innovation is that workplace diversity assists a business in hiring a diverse range of personnel.

In other words, a vibrant population need individuals of varied personalities. Workplace diversity refers to a company’s workforce consisting of employees of various genders, ages, faiths, races, ethnicities, cultural backgrounds, religions, dialects, training, capabilities, etc. According to the study’s findings, human resource management strategies have a substantial influence on diversity management.

Second, diversity management was found to have a considerable impact on creativity. Finally, human resource management techniques influenced innovation significantly. Based on the findings, it was discovered that diversity management had a more significant influence on creation than human resource management.

Lastly, according to Li et al. (2021), the universal trend of rising workplace age diversity has increased the study focus on the organisational effects of age-diverse workforces. Prior research has mainly concentrated on the statistical association between age diversity and organisational success rather than experimentally examining the probable processes behind this relationship.

They argue that age diversity influences organisational performance through human and social capital using an intellectual capital paradigm. Moreover, they investigate workplace functional diversity and age-inclusive management as two confounding factors affecting the benefits of age diversity on physical and human capital.

Their hypotheses were evaluated using data from the Association for Human Resource Management’s major manager-reported workplace survey. Age diversity was favourably linked with organisational performance via the mediation of higher human and social capital. Furthermore, functional diversity and age-inclusive management exacerbated the favourable benefits of age variety on human and social capital. Their study gives insight into how age-diverse workforces might generate value by nurturing knowledge-based organisational resources.

Research Gap/ Contribution

Although there is a vast body of research in diversity in the human resource management area, many researchers explored various dimensions. But no study explicitly discovers the impact of organisational culture on human resource diversification. Moreover, no researchers examined the scope of impression management in this context.

Therefore, this research will fill this considerable literature gap by finding the direct impact of organisational structure on human resource diversification. Secondly, by introducing a new dimension of impression management theory. It will open new avenues for research in this area, and it will help HR managers to formulate better policies for a more inclusive organisational structure.

Research Methodology

It will be mixed quantitative and qualitative research based on the secondary data collected through different research journals and case studies of various companies. Firstly, the quantitative analysis will be conducted through a regression analysis to show the organisational structure’s impact on human resource diversification.

The dummy variable will be used to show organisational structure, and diversification will be captured through the ethnic backgrounds of the employees. Moreover, different variables will be added to the model, such as competency, social inclusion, etc. It will fulfil the objective of identifying various factors which affect the management decision to recruit diverse human resources. Secondly, a systematic review of the literature will be conducted for qualitative analysis to add the impression management dimension to the research. Google Scholar, JSTOR, Scopus, etc., will be used to search keywords such as human resource diversity, impression management, and organisation structure.

Research Limitation

Although research offers a comprehensive empirical analysis on the relationship under consideration due to lack of resources, the study is limited to secondary data. It would be better if the research would’ve been conducted on the primary data collected through the organisations. That would’ve captured the actual views of the working professionals. It would’ve increased the validity of the research.

Ali, M., Tawfeq, A., & Dler, S. (2020). Relationship between Diversity Management and Human Resource Management: Their Effects on Employee Innovation in the Organizations. Black Sea Journal of Management and Marketing, 1 (2), 36-44.

AYDIN, E., & ÖZEREN, E. (2018). Rethinking workforce diversity research through critical perspectives: emerging patterns and research agenda. Business & Management Studies: An International Journal, 6 (3), 650-670.

Coad, A., & Guenther, C. (2014). Processes of firm growth and diversification: theory and evidence. Small Business Economics, 43 (4), 857-871.

Cummings, V. (2018). Economic Diversification and Empowerment of Local Human Resources: Could Singapore Be a Model for the GCC Countries?. In. Economic Diversification in the Gulf Region, II , 241-260.

Guillaume, Y., Dawson, J., Otaye‐Ebede, L., Woods, S., & West, M. (2017). Harnessing demographic differences in organizations: What moderates the effects of workplace diversity? Journal of Organizational Behavior, 38 (2), 276-303.

Hayes, T., Oltman, K., Kaylor, L., & Belgudri, A. (2020). How leaders can become more committed to diversity management. Consulting Psychology Journal: Practice and Research, 72 (4), 247.

Li, Y., Gong, Y., Burmeister, A., Wang, M., Alterman, V., Alonso, A., & Robinson, S. (2021). Leveraging age diversity for organizational performance: An intellectual capital perspective. Journal of Applied Psychology, 106 (1), 71.

Seliverstova, Y. (2021). Workforce diversity management: a systematic literature review. Strategic Management, 26 (2), 3-11.

Sippola, A. (2014). Essays on human resource management perspectives on diversity management. Vaasan yliopisto.

Staniec, I., & Zakrzewska-Bielawska, A. (2010). Organizational structure in the view of single business concentration and diversification strategies—empirical study results. Recent advances in management, marketing, finances. WSEAS Press, Penang, Malaysia .

Yadav, S., & Lenka, U. (2020). Diversity management: a systematic review. Equality, Diversity and Inclusion: An International Journal .

Yang, Y., & Konrad, A. (2011). Understanding diversity management practices: Implications of institutional theory and resource-based theory. Group & Organization Management, 36 (1), 6-38.

FAQs About Research Methods for Dissertations

What is the difference between research methodology and research methods.

Research methodology helps you conduct your research in the right direction, validates the results of your research and makes sure that the study you are conducting answers the set research questions.

Research methods are the techniques and procedures used for conducting research. Choosing the right research method for your writing is an important aspect of the research process.

What are the types of research methods?

The types of research methods include:

•     Experimental research methods.
•     Descriptive research methods
•     Historical Research methods

What is a quantitative research method?

Quantitative research is associated with numerical data or data that can be measured. It is used to study a large group of population. The information is gathered by performing statistical, mathematical, or computational techniques.

What is a qualitative research method?

It is a type of scientific research where a researcher collects evidence to seek answers to a question . It is associated with studying human behavior from an informative perspective. It aims at obtaining in-depth details of the problem.

What is meant by mixed methods research?

Mixed methods of research involve:

• There could be more than one stage of research. Depending on the research topic, occasionally, it would be more appropriate to perform qualitative research in the first stage to figure out and investigate a problem to unveil key themes; and conduct quantitative research in stage two of the process for measuring relationships between the themes.

You May Also Like

In historical research, a researcher collects and analyse the data, and explain the events that occurred in the past to test the truthfulness of observations.

Textual analysis is the method of analysing and understanding the text. We need to look carefully at the text to identify the writer’s context and message.

A confounding variable can potentially affect both the suspected cause and the suspected effect. Here is all you need to know about accounting for confounding variables in research.

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How To Write A Dissertation Or Thesis

8 straightforward steps to craft an a-grade dissertation.

By: Derek Jansen (MBA) Expert Reviewed By: Dr Eunice Rautenbach | June 2020

Writing a dissertation or thesis is not a simple task. It takes time, energy and a lot of will power to get you across the finish line. It’s not easy – but it doesn’t necessarily need to be a painful process. If you understand the big-picture process of how to write a dissertation or thesis, your research journey will be a lot smoother.  

In this post, I’m going to outline the big-picture process of how to write a high-quality dissertation or thesis, without losing your mind along the way. If you’re just starting your research, this post is perfect for you. Alternatively, if you’ve already submitted your proposal, this article which covers how to structure a dissertation might be more helpful.

How To Write A Dissertation: 8 Steps

• Clearly understand what a dissertation (or thesis) is
• Find a unique and valuable research topic
• Craft a convincing research proposal
• Write up a strong introduction chapter
• Review the existing literature and compile a literature review
• Design a rigorous research strategy and undertake your own research
• Present the findings of your research
• Draw a conclusion and discuss the implications

Step 1: Understand exactly what a dissertation is

This probably sounds like a no-brainer, but all too often, students come to us for help with their research and the underlying issue is that they don’t fully understand what a dissertation (or thesis) actually is.

So, what is a dissertation?

At its simplest, a dissertation or thesis is a formal piece of research , reflecting the standard research process . But what is the standard research process, you ask? The research process involves 4 key steps:

• Ask a very specific, well-articulated question (s) (your research topic)
• See what other researchers have said about it (if they’ve already answered it)
• If they haven’t answered it adequately, undertake your own data collection and analysis in a scientifically rigorous fashion
• Answer your original question(s), based on your analysis findings

In short, the research process is simply about asking and answering questions in a systematic fashion . This probably sounds pretty obvious, but people often think they’ve done “research”, when in fact what they have done is:

• Started with a vague, poorly articulated question
• Not taken the time to see what research has already been done regarding the question
• Collected data and opinions that support their gut and undertaken a flimsy analysis
• Drawn a shaky conclusion, based on that analysis

If you want to see the perfect example of this in action, look out for the next Facebook post where someone claims they’ve done “research”… All too often, people consider reading a few blog posts to constitute research. Its no surprise then that what they end up with is an opinion piece, not research. Okay, okay – I’ll climb off my soapbox now.

The key takeaway here is that a dissertation (or thesis) is a formal piece of research, reflecting the research process. It’s not an opinion piece , nor a place to push your agenda or try to convince someone of your position. Writing a good dissertation involves asking a question and taking a systematic, rigorous approach to answering it.

If you understand this and are comfortable leaving your opinions or preconceived ideas at the door, you’re already off to a good start!

Step 2: Find a unique, valuable research topic

As we saw, the first step of the research process is to ask a specific, well-articulated question. In other words, you need to find a research topic that asks a specific question or set of questions (these are called research questions ). Sounds easy enough, right? All you’ve got to do is identify a question or two and you’ve got a winning research topic. Well, not quite…

A good dissertation or thesis topic has a few important attributes. Specifically, a solid research topic should be:

Let’s take a closer look at these:

Attribute #1: Clear

Your research topic needs to be crystal clear about what you’re planning to research, what you want to know, and within what context. There shouldn’t be any ambiguity or vagueness about what you’ll research.

Here’s an example of a clearly articulated research topic:

An analysis of consumer-based factors influencing organisational trust in British low-cost online equity brokerage firms.

As you can see in the example, its crystal clear what will be analysed (factors impacting organisational trust), amongst who (consumers) and in what context (British low-cost equity brokerage firms, based online).

Need a helping hand?

Attribute #2:   Unique

Your research should be asking a question(s) that hasn’t been asked before, or that hasn’t been asked in a specific context (for example, in a specific country or industry).

For example, sticking organisational trust topic above, it’s quite likely that organisational trust factors in the UK have been investigated before, but the context (online low-cost equity brokerages) could make this research unique. Therefore, the context makes this research original.

One caveat when using context as the basis for originality – you need to have a good reason to suspect that your findings in this context might be different from the existing research – otherwise, there’s no reason to warrant researching it.

Attribute #3: Important

Simply asking a unique or original question is not enough – the question needs to create value. In other words, successfully answering your research questions should provide some value to the field of research or the industry. You can’t research something just to satisfy your curiosity. It needs to make some form of contribution either to research or industry.

For example, researching the factors influencing consumer trust would create value by enabling businesses to tailor their operations and marketing to leverage factors that promote trust. In other words, it would have a clear benefit to industry.

So, how do you go about finding a unique and valuable research topic? We explain that in detail in this video post – How To Find A Research Topic . Yeah, we’ve got you covered 😊

Step 3: Write a convincing research proposal

Once you’ve pinned down a high-quality research topic, the next step is to convince your university to let you research it. No matter how awesome you think your topic is, it still needs to get the rubber stamp before you can move forward with your research. The research proposal is the tool you’ll use for this job.

So, what’s in a research proposal?

The main “job” of a research proposal is to convince your university, advisor or committee that your research topic is worthy of approval. But convince them of what? Well, this varies from university to university, but generally, they want to see that:

• You have a clearly articulated, unique and important topic (this might sound familiar…)
• You’ve done some initial reading of the existing literature relevant to your topic (i.e. a literature review)
• You have a provisional plan in terms of how you will collect data and analyse it (i.e. a methodology)

At the proposal stage, it’s (generally) not expected that you’ve extensively reviewed the existing literature , but you will need to show that you’ve done enough reading to identify a clear gap for original (unique) research. Similarly, they generally don’t expect that you have a rock-solid research methodology mapped out, but you should have an idea of whether you’ll be undertaking qualitative or quantitative analysis , and how you’ll collect your data (we’ll discuss this in more detail later).

Long story short – don’t stress about having every detail of your research meticulously thought out at the proposal stage – this will develop as you progress through your research. However, you do need to show that you’ve “done your homework” and that your research is worthy of approval .

So, how do you go about crafting a high-quality, convincing proposal? We cover that in detail in this video post – How To Write A Top-Class Research Proposal . We’ve also got a video walkthrough of two proposal examples here .

Step 4: Craft a strong introduction chapter

Once your proposal’s been approved, its time to get writing your actual dissertation or thesis! The good news is that if you put the time into crafting a high-quality proposal, you’ve already got a head start on your first three chapters – introduction, literature review and methodology – as you can use your proposal as the basis for these.

Handy sidenote – our free dissertation & thesis template is a great way to speed up your dissertation writing journey.

What’s the introduction chapter all about?

The purpose of the introduction chapter is to set the scene for your research (dare I say, to introduce it…) so that the reader understands what you’ll be researching and why it’s important. In other words, it covers the same ground as the research proposal in that it justifies your research topic.

What goes into the introduction chapter?

This can vary slightly between universities and degrees, but generally, the introduction chapter will include the following:

• A brief background to the study, explaining the overall area of research
• A problem statement , explaining what the problem is with the current state of research (in other words, where the knowledge gap exists)
• Your research questions – in other words, the specific questions your study will seek to answer (based on the knowledge gap)
• The significance of your study – in other words, why it’s important and how its findings will be useful in the world

As you can see, this all about explaining the “what” and the “why” of your research (as opposed to the “how”). So, your introduction chapter is basically the salesman of your study, “selling” your research to the first-time reader and (hopefully) getting them interested to read more.

How do I write the introduction chapter, you ask? We cover that in detail in this post .

Step 5: Undertake an in-depth literature review

As I mentioned earlier, you’ll need to do some initial review of the literature in Steps 2 and 3 to find your research gap and craft a convincing research proposal – but that’s just scratching the surface. Once you reach the literature review stage of your dissertation or thesis, you need to dig a lot deeper into the existing research and write up a comprehensive literature review chapter.

What’s the literature review all about?

There are two main stages in the literature review process:

Literature Review Step 1: Reading up

The first stage is for you to deep dive into the existing literature (journal articles, textbook chapters, industry reports, etc) to gain an in-depth understanding of the current state of research regarding your topic. While you don’t need to read every single article, you do need to ensure that you cover all literature that is related to your core research questions, and create a comprehensive catalogue of that literature , which you’ll use in the next step.

Reading and digesting all the relevant literature is a time consuming and intellectually demanding process. Many students underestimate just how much work goes into this step, so make sure that you allocate a good amount of time for this when planning out your research. Thankfully, there are ways to fast track the process – be sure to check out this article covering how to read journal articles quickly .

Literature Review Step 2: Writing up

Once you’ve worked through the literature and digested it all, you’ll need to write up your literature review chapter. Many students make the mistake of thinking that the literature review chapter is simply a summary of what other researchers have said. While this is partly true, a literature review is much more than just a summary. To pull off a good literature review chapter, you’ll need to achieve at least 3 things:

• You need to synthesise the existing research , not just summarise it. In other words, you need to show how different pieces of theory fit together, what’s agreed on by researchers, what’s not.
• You need to highlight a research gap that your research is going to fill. In other words, you’ve got to outline the problem so that your research topic can provide a solution.
• You need to use the existing research to inform your methodology and approach to your own research design. For example, you might use questions or Likert scales from previous studies in your your own survey design .

As you can see, a good literature review is more than just a summary of the published research. It’s the foundation on which your own research is built, so it deserves a lot of love and attention. Take the time to craft a comprehensive literature review with a suitable structure .

But, how do I actually write the literature review chapter, you ask? We cover that in detail in this video post .

Step 6: Carry out your own research

Once you’ve completed your literature review and have a sound understanding of the existing research, its time to develop your own research (finally!). You’ll design this research specifically so that you can find the answers to your unique research question.

There are two steps here – designing your research strategy and executing on it:

1 – Design your research strategy

The first step is to design your research strategy and craft a methodology chapter . I won’t get into the technicalities of the methodology chapter here, but in simple terms, this chapter is about explaining the “how” of your research. If you recall, the introduction and literature review chapters discussed the “what” and the “why”, so it makes sense that the next point to cover is the “how” –that’s what the methodology chapter is all about.

In this section, you’ll need to make firm decisions about your research design. This includes things like:

• Your research philosophy (e.g. positivism or interpretivism )
• Your overall methodology (e.g. qualitative , quantitative or mixed methods)
• Your data collection strategy (e.g. interviews , focus groups, surveys)
• Your data analysis strategy (e.g. content analysis , correlation analysis, regression)

If these words have got your head spinning, don’t worry! We’ll explain these in plain language in other posts. It’s not essential that you understand the intricacies of research design (yet!). The key takeaway here is that you’ll need to make decisions about how you’ll design your own research, and you’ll need to describe (and justify) your decisions in your methodology chapter.

2 – Execute: Collect and analyse your data

Once you’ve worked out your research design, you’ll put it into action and start collecting your data. This might mean undertaking interviews, hosting an online survey or any other data collection method. Data collection can take quite a bit of time (especially if you host in-person interviews), so be sure to factor sufficient time into your project plan for this. Oftentimes, things don’t go 100% to plan (for example, you don’t get as many survey responses as you hoped for), so bake a little extra time into your budget here.

Once you’ve collected your data, you’ll need to do some data preparation before you can sink your teeth into the analysis. For example:

• If you carry out interviews or focus groups, you’ll need to transcribe your audio data to text (i.e. a Word document).
• If you collect quantitative survey data, you’ll need to clean up your data and get it into the right format for whichever analysis software you use (for example, SPSS, R or STATA).

Once you’ve completed your data prep, you’ll undertake your analysis, using the techniques that you described in your methodology. Depending on what you find in your analysis, you might also do some additional forms of analysis that you hadn’t planned for. For example, you might see something in the data that raises new questions or that requires clarification with further analysis.

The type(s) of analysis that you’ll use depend entirely on the nature of your research and your research questions. For example:

• If your research if exploratory in nature, you’ll often use qualitative analysis techniques .
• If your research is confirmatory in nature, you’ll often use quantitative analysis techniques
• If your research involves a mix of both, you might use a mixed methods approach

Again, if these words have got your head spinning, don’t worry! We’ll explain these concepts and techniques in other posts. The key takeaway is simply that there’s no “one size fits all” for research design and methodology – it all depends on your topic, your research questions and your data. So, don’t be surprised if your study colleagues take a completely different approach to yours.

Step 7: Present your findings

Once you’ve completed your analysis, it’s time to present your findings (finally!). In a dissertation or thesis, you’ll typically present your findings in two chapters – the results chapter and the discussion chapter .

What’s the difference between the results chapter and the discussion chapter?

While these two chapters are similar, the results chapter generally just presents the processed data neatly and clearly without interpretation, while the discussion chapter explains the story the data are telling  – in other words, it provides your interpretation of the results.

For example, if you were researching the factors that influence consumer trust, you might have used a quantitative approach to identify the relationship between potential factors (e.g. perceived integrity and competence of the organisation) and consumer trust. In this case:

• Your results chapter would just present the results of the statistical tests. For example, correlation results or differences between groups. In other words, the processed numbers.
• Your discussion chapter would explain what the numbers mean in relation to your research question(s). For example, Factor 1 has a weak relationship with consumer trust, while Factor 2 has a strong relationship.

Depending on the university and degree, these two chapters (results and discussion) are sometimes merged into one , so be sure to check with your institution what their preference is. Regardless of the chapter structure, this section is about presenting the findings of your research in a clear, easy to understand fashion.

Importantly, your discussion here needs to link back to your research questions (which you outlined in the introduction or literature review chapter). In other words, it needs to answer the key questions you asked (or at least attempt to answer them).

For example, if we look at the sample research topic:

In this case, the discussion section would clearly outline which factors seem to have a noteworthy influence on organisational trust. By doing so, they are answering the overarching question and fulfilling the purpose of the research .

For more information about the results chapter , check out this post for qualitative studies and this post for quantitative studies .

Step 8: The Final Step Draw a conclusion and discuss the implications

Last but not least, you’ll need to wrap up your research with the conclusion chapter . In this chapter, you’ll bring your research full circle by highlighting the key findings of your study and explaining what the implications of these findings are.

What exactly are key findings? The key findings are those findings which directly relate to your original research questions and overall research objectives (which you discussed in your introduction chapter). The implications, on the other hand, explain what your findings mean for industry, or for research in your area.

Sticking with the consumer trust topic example, the conclusion might look something like this:

Key findings

This study set out to identify which factors influence consumer-based trust in British low-cost online equity brokerage firms. The results suggest that the following factors have a large impact on consumer trust:

While the following factors have a very limited impact on consumer trust:

Notably, within the 25-30 age groups, Factors E had a noticeably larger impact, which may be explained by…

Implications

The findings having noteworthy implications for British low-cost online equity brokers. Specifically:

The large impact of Factors X and Y implies that brokers need to consider….

The limited impact of Factor E implies that brokers need to…

As you can see, the conclusion chapter is basically explaining the “what” (what your study found) and the “so what?” (what the findings mean for the industry or research). This brings the study full circle and closes off the document.

Let’s recap – how to write a dissertation or thesis

You’re still with me? Impressive! I know that this post was a long one, but hopefully you’ve learnt a thing or two about how to write a dissertation or thesis, and are now better equipped to start your own research.

To recap, the 8 steps to writing a quality dissertation (or thesis) are as follows:

• Understand what a dissertation (or thesis) is – a research project that follows the research process.
• Find a unique (original) and important research topic
• Craft a convincing dissertation or thesis research proposal
• Write a clear, compelling introduction chapter
• Undertake a thorough review of the existing research and write up a literature review
• Undertake your own research
• Present and interpret your findings

Once you’ve wrapped up the core chapters, all that’s typically left is the abstract , reference list and appendices. As always, be sure to check with your university if they have any additional requirements in terms of structure or content.  

Psst... there’s more!

This post was based on one of our popular Research Bootcamps . If you're working on a research project, you'll definitely want to check this out ...

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20 Comments

thankfull >>>this is very useful

Thank you, it was really helpful

unquestionably, this amazing simplified way of teaching. Really , I couldn’t find in the literature words that fully explicit my great thanks to you. However, I could only say thanks a-lot.

Great to hear that – thanks for the feedback. Good luck writing your dissertation/thesis.

This is the most comprehensive explanation of how to write a dissertation. Many thanks for sharing it free of charge.

Very rich presentation. Thank you

Thanks Derek Jansen|GRADCOACH, I find it very useful guide to arrange my activities and proceed to research!

Thank you so much for such a marvelous teaching .I am so convinced that am going to write a comprehensive and a distinct masters dissertation

It is an amazing comprehensive explanation

This was straightforward. Thank you!

I can say that your explanations are simple and enlightening – understanding what you have done here is easy for me. Could you write more about the different types of research methods specific to the three methodologies: quan, qual and MM. I look forward to interacting with this website more in the future.

Thanks for the feedback and suggestions 🙂

Hello, your write ups is quite educative. However, l have challenges in going about my research questions which is below; *Building the enablers of organisational growth through effective governance and purposeful leadership.*

Very educating.

Just listening to the name of the dissertation makes the student nervous. As writing a top-quality dissertation is a difficult task as it is a lengthy topic, requires a lot of research and understanding and is usually around 10,000 to 15000 words. Sometimes due to studies, unbalanced workload or lack of research and writing skill students look for dissertation submission from professional writers.

Thank you 💕😊 very much. I was confused but your comprehensive explanation has cleared my doubts of ever presenting a good thesis. Thank you.

thank you so much, that was so useful

Hi. Where is the excel spread sheet ark?

could you please help me look at your thesis paper to enable me to do the portion that has to do with the specification

my topic is “the impact of domestic revenue mobilization.

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• Dissertation

What Is a Dissertation? | 5 Essential Questions to Get Started

Published on 26 March 2020 by Jack Caulfield . Revised on 5 May 2022.

A dissertation is a large research project undertaken at the end of a degree. It involves in-depth consideration of a problem or question chosen by the student. It is usually the largest (and final) piece of written work produced during a degree.

The length and structure of a dissertation vary widely depending on the level and field of study. However, there are some key questions that can help you understand the requirements and get started on your dissertation project.

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Table of contents

When and why do you have to write a dissertation, who will supervise your dissertation, what type of research will you do, how should your dissertation be structured, what formatting and referencing rules do you have to follow, frequently asked questions about dissertations.

A dissertation, sometimes called a thesis, comes at the end of an undergraduate or postgraduate degree. It is a larger project than the other essays you’ve written, requiring a higher word count and a greater depth of research.

You’ll generally work on your dissertation during the final year of your degree, over a longer period than you would take for a standard essay . For example, the dissertation might be your main focus for the last six months of your degree.

Why is the dissertation important?

The dissertation is a test of your capacity for independent research. You are given a lot of autonomy in writing your dissertation: you come up with your own ideas, conduct your own research, and write and structure the text by yourself.

This means that it is an important preparation for your future, whether you continue in academia or not: it teaches you to manage your own time, generate original ideas, and work independently.

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During the planning and writing of your dissertation, you’ll work with a supervisor from your department. The supervisor’s job is to give you feedback and advice throughout the process.

The dissertation supervisor is often assigned by the department, but you might be allowed to indicate preferences or approach potential supervisors. If so, try to pick someone who is familiar with your chosen topic, whom you get along with on a personal level, and whose feedback you’ve found useful in the past.

How will your supervisor help you?

Your supervisor is there to guide you through the dissertation project, but you’re still working independently. They can give feedback on your ideas, but not come up with ideas for you.

You may need to take the initiative to request an initial meeting with your supervisor. Then you can plan out your future meetings and set reasonable deadlines for things like completion of data collection, a structure outline, a first chapter, a first draft, and so on.

Make sure to prepare in advance for your meetings. Formulate your ideas as fully as you can, and determine where exactly you’re having difficulties so you can ask your supervisor for specific advice.

Your approach to your dissertation will vary depending on your field of study. The first thing to consider is whether you will do empirical research , which involves collecting original data, or non-empirical research , which involves analysing sources.

Empirical dissertations (sciences)

An empirical dissertation focuses on collecting and analysing original data. You’ll usually write this type of dissertation if you are studying a subject in the sciences or social sciences.

• What are airline workers’ attitudes towards the challenges posed for their industry by climate change?
• How effective is cognitive behavioural therapy in treating depression in young adults?
• What are the short-term health effects of switching from smoking cigarettes to e-cigarettes?

There are many different empirical research methods you can use to answer these questions – for example, experiments , observations, surveys , and interviews.

When doing empirical research, you need to consider things like the variables you will investigate, the reliability and validity of your measurements, and your sampling method . The aim is to produce robust, reproducible scientific knowledge.

Non-empirical dissertations (arts and humanities)

A non-empirical dissertation works with existing research or other texts, presenting original analysis, critique and argumentation, but no original data. This approach is typical of arts and humanities subjects.

• What attitudes did commentators in the British press take towards the French Revolution in 1789–1792?
• How do the themes of gender and inheritance intersect in Shakespeare’s Macbeth ?
• How did Plato’s Republic and Thomas More’s Utopia influence nineteenth century utopian socialist thought?

The first steps in this type of dissertation are to decide on your topic and begin collecting your primary and secondary sources .

Primary sources are the direct objects of your research. They give you first-hand evidence about your subject. Examples of primary sources include novels, artworks and historical documents.

Secondary sources provide information that informs your analysis. They describe, interpret, or evaluate information from primary sources. For example, you might consider previous analyses of the novel or author you are working on, or theoretical texts that you plan to apply to your primary sources.

Dissertations are divided into chapters and sections. Empirical dissertations usually follow a standard structure, while non-empirical dissertations are more flexible.

Structure of an empirical dissertation

Empirical dissertations generally include these chapters:

• Introduction : An explanation of your topic and the research question(s) you want to answer.
• Literature review : A survey and evaluation of previous research on your topic.
• Methodology : An explanation of how you collected and analysed your data.
• Results : A brief description of what you found.
• Discussion : Interpretation of what these results reveal.
• Conclusion : Answers to your research question(s) and summary of what your findings contribute to knowledge in your field.

Sometimes the order or naming of chapters might be slightly different, but all of the above information must be included in order to produce thorough, valid scientific research.

Other dissertation structures

If your dissertation doesn’t involve data collection, your structure is more flexible. You can think of it like an extended essay – the text should be logically organised in a way that serves your argument:

• Introduction: An explanation of your topic and the question(s) you want to answer.
• Main body: The development of your analysis, usually divided into 2–4 chapters.
• Conclusion: Answers to your research question(s) and summary of what your analysis contributes to knowledge in your field.

The chapters of the main body can be organised around different themes, time periods, or texts. Below you can see some example structures for dissertations in different subjects.

• Political philosophy

This example, on the topic of the British press’s coverage of the French Revolution, shows how you might structure each chapter around a specific theme.

This example, on the topic of Plato’s and More’s influences on utopian socialist thought, shows a different approach to dividing the chapters by theme.

This example, a master’s dissertation on the topic of how writers respond to persecution, shows how you can also use section headings within each chapter. Each of the three chapters deals with a specific text, while the sections are organised thematically.

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Like other academic texts, it’s important that your dissertation follows the formatting guidelines set out by your university. You can lose marks unnecessarily over mistakes, so it’s worth taking the time to get all these elements right.

Formatting guidelines concern things like:

• line spacing
• page numbers
• punctuation
• title pages
• presentation of tables and figures

If you’re unsure about the formatting requirements, check with your supervisor or department. You can lose marks unnecessarily over mistakes, so it’s worth taking the time to get all these elements right.

How will you reference your sources?

Referencing means properly listing the sources you cite and refer to in your dissertation, so that the reader can find them. This avoids plagiarism by acknowledging where you’ve used the work of others.

Keep track of everything you read as you prepare your dissertation. The key information to note down for a reference is:

• The publication date
• Page numbers for the parts you refer to (especially when using direct quotes)

Different referencing styles each have their own specific rules for how to reference. The most commonly used styles in UK universities are listed below.

You can use the free APA Reference Generator to automatically create and store your references.

APA Reference Generator

The words ‘ dissertation ’ and ‘thesis’ both refer to a large written research project undertaken to complete a degree, but they are used differently depending on the country:

• In the UK, you write a dissertation at the end of a bachelor’s or master’s degree, and you write a thesis to complete a PhD.
• In the US, it’s the other way around: you may write a thesis at the end of a bachelor’s or master’s degree, and you write a dissertation to complete a PhD.

The main difference is in terms of scale – a dissertation is usually much longer than the other essays you complete during your degree.

Another key difference is that you are given much more independence when working on a dissertation. You choose your own dissertation topic , and you have to conduct the research and write the dissertation yourself (with some assistance from your supervisor).

Dissertation word counts vary widely across different fields, institutions, and levels of education:

• An undergraduate dissertation is typically 8,000–15,000 words
• A master’s dissertation is typically 12,000–50,000 words
• A PhD thesis is typically book-length: 70,000–100,000 words

However, none of these are strict guidelines – your word count may be lower or higher than the numbers stated here. Always check the guidelines provided by your university to determine how long your own dissertation should be.

At the bachelor’s and master’s levels, the dissertation is usually the main focus of your final year. You might work on it (alongside other classes) for the entirety of the final year, or for the last six months. This includes formulating an idea, doing the research, and writing up.

A PhD thesis takes a longer time, as the thesis is the main focus of the degree. A PhD thesis might be being formulated and worked on for the whole four years of the degree program. The writing process alone can take around 18 months.

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Dissertations are a part of many degree programmes, completed in the final year of undergraduate studies or the final months of a taught masters-level degree. 

Introduction to dissertations

What is a dissertation.

A dissertation is usually a long-term project to produce a long-form piece of writing; think of it a little like an extended, structured assignment. In some subjects (typically the sciences), it might be called a project instead.

Work on an undergraduate dissertation is often spread out over the final year. For a masters dissertation, you'll start thinking about it early in your course and work on it throughout the year.

You might carry out your own original research, or base your dissertation on existing research literature or data sources - there are many possibilities.

What's different about a dissertation?

The main thing that sets a dissertation apart from your previous work is that it's an almost entirely independent project. You'll have some support from a supervisor, but you will spend a lot more time working on your own.

You'll also be working on your own topic that's different to your coursemate; you'll all produce a dissertation, but on different topics and, potentially, in very different ways.

Dissertations are also longer than a regular assignment, both in word count and the time that they take to complete. You'll usually have  most of an academic year to work on one, and be required to produce thousands of words; that might seem like a lot, but both time and word count will disappear very quickly once you get started! 

Find out more:

Key dissertation tools

Digital tools.

There are lots of tools, software and apps that can help you get through the dissertation process. Before you start, make sure you collect the key tools ready to:

• use your time efficiently
• organise yourself and your materials
• manage your writing
• be less stressed

Here's an overview of some useful tools:

Digital tools for your dissertation [Google Slides]

Setting up your document

Formatting and how you set up your document is also very important for a long piece of work like a dissertation, research project or thesis. Find tips and advice on our text processing guide:

University of York past Undergraduate and Masters dissertations

If you are a University of York student, you can access a selection of digitised undergraduate dissertations for certain subjects:

• History  
• History of Art  
• Social Policy and Social Work  

The Library also has digitised Masters dissertations for the following subjects:

• Archaeology
• Centre for Eighteenth-Century Studies  
• Centre for Medieval Studies  
• Centre for Renaissance and Early Modern Studies  
• Centre for Women's Studies  
• English and Related Literature
• Health Sciences
• History of Art
• Hull York Medical School
• Language and Linguistic Science
• School for Business and Society
• School of Social and Political Sciences ​​​​​​​

Dissertation top tips

Many dissertations are structured into four key sections:

• introduction & literature review

There are many different types of dissertation, which don't all use this structure, so make sure you check your dissertation guidance. However, elements of these sections are common in all dissertation types.

Dissertations that are an extended literature review do not involve data collection, thus do not have a methods or result section. Instead they have chapters that explore concepts/theories and result in a conclusion section. Check your dissertation module handbook and all information given to see what your dissertation involves. 

Introduction & literature review

The Introduction and Literature Review give the context for your dissertation:

• What topic did you investigate?
• What do we already know about this topic?
• What are your research questions and hypotheses?

Sometimes these are two separate sections, and sometimes the Literature Review is integrated into the Introduction. Check your guidelines to find out what you need to do.

Literature Review Top Tips [YouTube]  |  Literature Review Top Tips transcript [Google Doc]

The Method section tells the reader what you did  and why.

• Include enough detail so that someone else could replicate your study.
• Visual elements can help present your method clearly. For example, summarise participant demographic data in a table or visualise the procedure in a diagram. 
• Show critical analysis by justifying your choices. For example, why is your test/questionnaire/equipment appropriate for this study?
• If your study requires ethical approval, include these details in this section.

Methodology Top Tips [YouTube]  |  Methodology Top Tips transcript [Google Doc]

More resources to help you plan and write the methodology:

The Results tells us what you found out . 

It's an objective presentation of your research findings. Don’t explain the results in detail here - you’ll do that in the discussion section.

Results Top Tips [YouTube]  |  Results Top Tips transcript [Google Doc]

The Discussion is where you explain and interpret your results - what do your findings mean?

This section involves a lot of critical analysis. You're not just presenting your findings, but putting them together with findings from other research to build your argument about what the findings mean.

Discussion Top Tips [YouTube]  |  Discussion Top Tips transcript [Google Doc]

Conclusions are a part of many dissertations and/or research projects. Check your module information to see if you are required to write one. Some dissertations/projects have concluding remarks in their discussion section. See the slides below for more information on writing conclusions in dissertations.

Conclusions in dissertations [Google Slides]

The abstract is a short summary of the whole dissertation that goes at the start of the document. It gives an overview of your research and helps readers decide if it’s relevant to their needs.

Even though it appears at the start of the document, write the abstract last. It summarises the whole dissertation, so you need to finish the main body before you can summarise it in the abstract.

Usually the abstract follows a very similar structure to the dissertation, with one or two sentences each to show the aims, methods, key results and conclusions drawn. Some subjects use headings within the abstract. Even if you don’t use these in your final abstract, headings can help you to plan a clear structure.

Abstract Top Tips [YouTube]  |  Abstract Top Tips transcript [Google Doc]

Watch all of our Dissertation Top Tips videos in one handy playlist:

Research reports, that are often found in science subjects, follow the same structure, so the tips in this tutorial also apply to dissertations:

Other support for dissertation writing

Online resources.

The general writing pages of this site offer guidance that can be applied to all types of writing, including dissertations. Also check your department guidance and VLE sites for tailored resources.

Other useful resources for dissertation writing:

Appointments and workshops 

There is a lot of support available in departments for dissertation production, which includes your dissertation supervisor, academic supervisor and, when appropriate, staff teaching in the research methods modules.

You can also access central writing and skills support:

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Home » Dissertation Methodology – Structure, Example and Writing Guide

Dissertation Methodology – Structure, Example and Writing Guide

• Table of Contents

Dissertation Methodology

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

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

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

Types of Dissertation Methodology

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

Experimental Research

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

Survey Research

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

Qualitative Research

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

Quantitative Research

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

Case Study Research

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

Mixed Methods Research

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

Action Research

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

Longitudinal Research

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

Ethnographic Research

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

Structure of Dissertation Methodology

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

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

How to Write Dissertation Methodology

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

1. Introduction

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

2. Approach

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

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

3. Research Design

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

4. Data Collection

Explain in detail how you collected your data.

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

5. Data Analysis

Describe how you analyzed your data.

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

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

7. Reliability and Validity

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

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

8. Limitations

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

9. Conclusion

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

Example of Dissertation Methodology

An Example of Dissertation Methodology is as follows:

Chapter 3: Methodology

• Introduction

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

Research Design

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

Data Collection Methods

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

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

Data Analysis Methods

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

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

Reliability and Validity

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

Ethical Considerations

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

Limitations

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

Where to Write Dissertation Methodology

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

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

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

Advantages of Dissertation Methodology

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

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

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• GETTING STARTED
• Introduction
• FUNDAMENTALS

Choosing between types

There are a number of reasons why you may choose one type of dissertation over another. Some are more academic in nature, whilst others tend to be more personal or practical . Academic justifications are important because the person marking your dissertation will expect to see such academic justifications in your final product. Personal and practical justifications are similarly important, not because these are something that a marker is looking for, but because the dissertation process can be tough. As a result, many of the decisions you make throughout the dissertation process (e.g., the choice of sampling strategy or data analysis techniques) will be influenced by factors such as cost, ease, convenience, and what skills you have or can learn in time. We briefly discuss these considerations below, and explain how they may influence the particular choice of dissertation type; after all, the academic, personal and practical justifications for a quantitative dissertation are different for qualitative or mixed methods dissertations.

Academic justifications

You'll almost always been able to find an academic justification for your choice of dissertation, whether qualitative, quantitative or mixed methods. These academic justifications include factors that are generally philosophical or theoretical , or which refer to a particular research problem or idea .

The reasons that act as a justification for your dissertation will often become clear when you decide on the route you will follow within one of these three types of dissertation (i.e., a qualitative, quantitative or mixed methods dissertation). We have chosen not to go into any more detail about such academic justifications now because they are so specific to the route that you choose. However, you'll learn about these justifications in detail in the Quantitative Dissertations part of Lærd Dissertation, where you can choose between one of three routes (i.e., Route #1: Replication-based dissertations , Route #2: Data-driven dissertations , and Route #3: Theory-driven dissertations ).

Personal or practical justifications

One of the major challenges of doing a dissertation, especially if you are an undergraduate, is uncertainty : Can I plan out the dissertation process from the start? Will I be able to finish on time? Can I get my head around the research paradigms and research designs that guide my choice of dissertation (i.e., qualitative, quantitative or mixed methods)? Do I have the right skills to analyse qualitative or quantitative data? What software packages will I have to learn to do this, if any?

Dissertations are often worth a good proportion of your final year mark, if not the grade of your entire degree, so how tolerant you are to uncertainty matters. On this basis, think about the following:

Am I a bit of a planning freak?

If you are, you may prefer to take on a quantitative dissertation rather than qualitative dissertation . One of the broad advantages of quantitative dissertations is that they tend to be more sequential in nature, such that you can often set out, right from the start of the dissertation process, the various stages you will need to go through in order to answer your research questions or hypotheses. This is because in quantitative dissertations, it is far less common to change major components of the research process (e.g., your research questions or hypotheses, or research design), after you've decided what these are going to be, which you typically do at the very start of the dissertation process. Not only does this make it possible to plan what you will be doing from month-to-month, but it also reduces the uncertainty through the dissertation process. You'll see in the Quantitative Dissertations section how we have been able to provide comprehensive, step-by-step guides to walk you through the dissertation process, as well as chapter-by-chapter guides to show you how to write up.

By contrast, qualitative dissertations are not sequential, but reflexive and emergent in nature, which means that what you planned to do at the start of the dissertation process is more likely to have to be modified. Such modification takes place because one of the tenets of qualitative research is flexibility to allow for things that are learnt during the research process to be integrated (e.g., initial interviews may suggest that you need to add or omit a particular research question). Whilst such changes may only happen a few times, and may be minor in many cases, they do add an element of uncertainty. At a basic level, imagine the difference between knowing how many participants you need to have to fill in your questionnaire, and therefore, roughly how long this will take (i.e., a quantitative dissertation ), as opposed to being quite uncertain how many interviews you need to arrange to collect sufficient data to answer your research questions (i.e., a qualitative dissertation ). Whilst these might sound like small points, it can mean having to put aside another month to collect sufficient interview data in a qualitative dissertation compared with a quantitative one.

What are my strong points?

Whilst qualitative and quantitative dissertations are more than just the use of qualitative or qualitative research methods and data, there is no escaping the fact that qualitative dissertations use qualitative research methods and collect qualitative data (i.e., from unstructured interviews, focus groups, participant observation, etc.), and quantitative dissertations use quantitative research methods, collecting quantitative data (i.e., from data sets, surveys, structured interviews, structured observation, etc.). If you've spent your degree working with quantitative research designs (e.g., randomized control trials, pre- and post-test designs, relationship-based designs, etc.), as well as quantitative research methods and data, the logical choice might be to take on a quantitative dissertation . The same can be said for qualitative dissertations , since in both cases, the learning curve will be a lot higher if you're completely unaccustomed to the components that make up these different types of dissertation.

What am I interested in?

At the end of the day, the dissertation process is a long one, lasting around 6 months (in most cases). If you're not interested in experimental research, you prefer working with more unstructured research methods (e.g., depth interviews, unstructured observation, etc.), or you hate quantitative data analysis (i.e., any form of statistics), taking on a quantitative dissertation may not be a good idea. The same can be said for qualitative dissertations , which require a lot of perseverance and dedication, especially during the data collection process, which can be time consuming and requires a lot of toeing-and-froing. Choose a type of dissertation that is going to keep you interested, and which you will not find boring or demoralizing.

If you're taking on a qualitative dissertation , we wish you good luck (although you will still be able to learn a little about appropriate research methods and sampling techniques in the Fundamentals section of Lærd Dissertation). However, if you're taking on a quantitative dissertation (or a mixed methods dissertation that is mainly quantitative in its focus), go to the Quantitative Dissertations part of Lærd Dissertation now. We have extensive guides to help you through the process.

While Sandel argues that pursuing perfection through genetic engineering would decrease our sense of humility, he claims that the sense of solidarity we would lose is also important.

This thesis summarizes several points in Sandel’s argument, but it does not make a claim about how we should understand his argument. A reader who read Sandel’s argument would not also need to read an essay based on this descriptive thesis.  

Broad thesis (arguable, but difficult to support with evidence) 

Michael Sandel’s arguments about genetic engineering do not take into consideration all the relevant issues.

This is an arguable claim because it would be possible to argue against it by saying that Michael Sandel’s arguments do take all of the relevant issues into consideration. But the claim is too broad. Because the thesis does not specify which “issues” it is focused on—or why it matters if they are considered—readers won’t know what the rest of the essay will argue, and the writer won’t know what to focus on. If there is a particular issue that Sandel does not address, then a more specific version of the thesis would include that issue—hand an explanation of why it is important.  

Arguable thesis with analytical claim 

While Sandel argues persuasively that our instinct to “remake” (54) ourselves into something ever more perfect is a problem, his belief that we can always draw a line between what is medically necessary and what makes us simply “better than well” (51) is less convincing.

This is an arguable analytical claim. To argue for this claim, the essay writer will need to show how evidence from the article itself points to this interpretation. It’s also a reasonable scope for a thesis because it can be supported with evidence available in the text and is neither too broad nor too narrow.  

Arguable thesis with normative claim 

Given Sandel’s argument against genetic enhancement, we should not allow parents to decide on using Human Growth Hormone for their children.

This thesis tells us what we should do about a particular issue discussed in Sandel’s article, but it does not tell us how we should understand Sandel’s argument.  

Questions to ask about your thesis 

• Is the thesis truly arguable? Does it speak to a genuine dilemma in the source, or would most readers automatically agree with it?  
• Is the thesis too obvious? Again, would most or all readers agree with it without needing to see your argument?  
• Is the thesis complex enough to require a whole essay's worth of argument?  
• Is the thesis supportable with evidence from the text rather than with generalizations or outside research?  
• Would anyone want to read a paper in which this thesis was developed? That is, can you explain what this paper is adding to our understanding of a problem, question, or topic?
• picture_as_pdf Thesis

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Researchers at UC Davis and Oak Ridge National Laboratory Develop New Tool for Neuron Experiments 

• by College of Engineering Communications
• June 04, 2024

A collaboration between Adam Moulé , the Joe and Essie Smith Endowed Chair of Chemical Engineering at the University of California, Davis, former UC Davis Ph.D. student Daniel Vong, and Luke Daemen, a researcher at Oak Ridge National Laboratory, or ORNL, has resulted in rotating sample holder that enables new types of neuron experiments.   

The sample holder tumbles powdered photochemical materials within a neutron beamline. The rotating holder exposes more of the material to light for increased photoactivation and better photochemistry data capture. Conventional sample holders were unable to rotate, or tumble, powdered samples, which meant light could only reach and activate molecules on the sample’s surface, reducing the amount and quality of data that could be captured.   

The new sample holder has already enabled the first neutron scattering observations of an optically excited photon splitting into two particles  —  a process that could lead to increased solar energy conversion efficiency in photovoltaic devices, such as solar cells or solar panels, and industrial processes.   

Vong, the first author of the paper for this research , was a researcher in Moulé’s Renewable Energy Electronics Lab while pursuing his doctorate in materials science and engineering at UC Davis. He spent a year at ORNL collaborating with Daemon on developing the new sample environment based on Moulé’s ideas.   

Vong is now at Intel in Portland, Oregon, and Moulé and his lab group continue to collaborate with Daemon. They plan to do more experiments this year.   

“The collaboration was a win-win, demonstrating how the university and ORNL scientists can work together successfully,” said Moulé. “It was a great opportunity for one of our researchers to intern at ORNL, learning from an expert instrument scientist and having access to the resources needed to build such an innovative sample holder.”   

Read about the collaborative research at ORNL

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