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Dissertation examples

Listed below are some of the best examples of research projects and dissertations from undergraduate and taught postgraduate students at the University of Leeds We have not been able to gather examples from all schools. The module requirements for research projects may have changed since these examples were written. Refer to your module guidelines to make sure that you address all of the current assessment criteria. Some of the examples below are only available to access on campus.

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Full Dissertation Samples and Examples

Students often face difficulty in starting their dissertations. One way to cater to this problem is to look at samples of full dissertations available online. We understand this problem. Therefore, our professionals have curated expert full dissertation examples for students to get inspired by and start working on their own dissertations.

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Discipline: Economics

Quality: 1st / 78%

Discipline: Business

Quality: 1st / 74%

Discipline: Big Data

Quality: 2:1 / 68%

Undergraduate

Discipline: Engineering Management

Quality: 2:1 / 69%

Discipline: Business Management

Discipline: Project Management

Quality: 1st / 73%

Discipline: Physiotherapy

Quality: 1st / 79%

Discipline: Marketing

Quality: 1st / 76%

Discipline: HRM

Discipline: Civil Engineering

Theism and Ultimate Explanation of the Existence of God” against ….

Dissertation

Extraversion and Occupational Choice

Feeding and resource buffers in ccpm and the impact of their use …..

Project Management

Impact of the Global Financial Crisis 2008-2009 on the UK ….

Material selection for innovative design of automotive component.

Engineering

Cognitive Process of Entrepreneurs in the Examination ….

Entrepreneurship

The Impact of Gender on Purchase Decision and Buying Behaviour ….

The leadership styles of successful project managers …., why manchester united football club has been one of the most successful sports …., investigating the impact of employee engagement on organisational performance…., should countries implement a constitutional court for fundamental rights breaches, optimising global supply chain operations: a collection of undergraduate dissertation samples.

Supply Chain

Newspaper coverage of refugees from Mainland China between 1937 and 1941 in Hong Kong

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What is a Dissertation?

A dissertation is a complex and comprehensive academic project students must complete towards the end of their degree programme. It requires deep independent research on a topic approved by your tutor. A dissertation contains five chapters – introduction, literature review, methodology, discussion, and conclusion. This is the standard structure for a dissertation unless stated otherwise by your tutor or institution.

Writing a Dissertation Proposal

After selecting a topic, the next step is preparing a proposal. A dissertation proposal is a plan or outline of the research you intend to conduct. It gives a background to the topic, lays out your research aims and objectives, and gives details of the research methodology you intend to use.

If your university accepts your proposal, you can start work on the dissertation paper. If it’s not accepted at first, make amendments to the proposal based on your supervisor’s feedback.

Referencing

Referencing is not some little detail at the end of the paper. Without correct referencing, even a brilliant paper can fail miserably. Citing every source accurately is an absolute must.

Don't Neglect Small Details.

Completing a dissertation proves you can carry out something thoroughly. Therefore, you should attend to each part of the dissertation and omit nothing.

Things like creating a table of contents with the page numbers listed, the reference list, and appendices are all parts of a dissertation. They all contribute to your grade. Look at our dissertation samples and writing guides to get a good understanding.

Choosing Your Dissertation Topic

Choosing a dissertation topic is the first step towards writing a dissertation. However, you should make sure the topic is relevant to your degree programme. It should investigate a specific problem and contribute towards the existing literature.

In order to stay motivated throughout the process, the research topic should be in line with your interests. At ResearchProspect, our expert academics can provide you with unique, manageable topics so you can choose one that suits your needs. Whether you’re an undergraduate or postgraduate student, topics from ResearchProspect can go a long way towards helping you achieve your desired grade.

How to Write a Dissertation

Acceptance of your dissertation proposal is the starting signal. Check out our dissertation writing service and look through our thesis samples to grasp the typical writing style.

Structure of a Dissertation

You have a topic and it’s been accepted. Now comes the structure and format. The first chapter will introduce the topic, the second should then explore it deeply and discuss relevant models, frameworks, and concepts.

The third chapter is where you explain your methodology in detail. The fourth and fifth chapters are for discussing the results and concluding the research, respectively.

Our full dissertation samples and writing guides will help you better understand dissertation structure and formatting.

How ResearchProspect Can Help!

Looking for dissertation help? At ResearchProspect, we know how difficult producing a first-class dissertation is. When you have other projects on, it’s particularly demanding.

Head to our order form. You can place your order today. If you’re not ready to commit yet, just message us about your project and what you’re considering. We have experts to write your full dissertation to your requirements.

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Students in the School of Economics at the University of Nottingham consistently produce work of a very high standard in the form of coursework essays, dissertations, research work and policy articles.

Below are some examples of the excellent work produced by some of our students. The authors have agreed for their work to be made available as examples of good practice.

Undergraduate dissertations

• The Causal Impact of Education on Crime Rates: A Recent US Analysis . Emily Taylor, BSc Hons Economics, 2022
• Does a joint income taxation system for married couples disincentivise the female labour supply? Jodie Gollop, BA Hons Economics with German, 2022
• Conditional cooperation between the young and old and the influence of work experience, charitable giving, and social identity . Rachel Moffat, BSc Hons Economics, 2021
• An Extended Literature Review on the Contribution of Economic Institutions to the Great Divergence in the 19th Century . Jessica Richens, BSc Hons Economics, 2021
• Does difference help make a difference? Examining whether young trustees and female trustees affect charities’ financial performance. Chris Hyland, BSc Hons Economics, 2021

Postgraduate dissertations

• The impact of Covid-19 on the public and health expenditure gradient in mortality in England . Alexander Waller, MSc Economic Development & Policy Analysis, 2022
• Impact of the Child Support Grant on Nutritional Outcomes in South Africa: Is there a ‘pregnancy support’ effect? . Claire Lynam, MSc Development Economics, 2022
• An Empirical Analysis of the Volatility Spillovers between Commodity Markets, Exchange Rates, and the Sovereign CDS Spreads of Commodity Exporters . Alfie Fox-Heaton, MSc Financial Economics, 2022
• The 2005 Atlantic Hurricane Season and Labour Market Transitions . Edward Allenby, MSc Economics, 2022
• The scope of international agreements . Sophia Vaaßen, MSc International Economics, 2022

Thank you to all those students who have agreed to have their work showcased in this way.

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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?
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Home » Dissertation Methodology – Structure, Example and Writing Guide

Dissertation Methodology – Structure, Example and Writing Guide

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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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25 Thesis Statement Examples That Will Make Writing a Breeze

Understanding what makes a good thesis statement is one of the major keys to writing a great research paper or argumentative essay. The thesis statement is where you make a claim that will guide you through your entire paper. If you find yourself struggling to make sense of your paper or your topic, then it's likely due to a weak thesis statement.

Let's take a minute to first understand what makes a solid thesis statement, and what key components you need to write one of your own.

A thesis statement always goes at the beginning of the paper. It will typically be in the first couple of paragraphs of the paper so that it can introduce the body paragraphs, which are the supporting evidence for your thesis statement.

Your thesis statement should clearly identify an argument. You need to have a statement that is not only easy to understand, but one that is debatable. What that means is that you can't just put any statement of fact and have it be your thesis. For example, everyone knows that puppies are cute . An ineffective thesis statement would be, "Puppies are adorable and everyone knows it." This isn't really something that's a debatable topic.

Something that would be more debatable would be, "A puppy's cuteness is derived from its floppy ears, small body, and playfulness." These are three things that can be debated on. Some people might think that the cutest thing about puppies is the fact that they follow you around or that they're really soft and fuzzy.

All cuteness aside, you want to make sure that your thesis statement is not only debatable, but that it also actually thoroughly answers the research question that was posed. You always want to make sure that your evidence is supporting a claim that you made (and not the other way around). This is why it's crucial to read and research about a topic first and come to a conclusion later. If you try to get your research to fit your thesis statement, then it may not work out as neatly as you think. As you learn more, you discover more (and the outcome may not be what you originally thought).

Additionally, your thesis statement shouldn't be too big or too grand. It'll be hard to cover everything in a thesis statement like, "The federal government should act now on climate change." The topic is just too large to actually say something new and meaningful. Instead, a more effective thesis statement might be, "Local governments can combat climate change by providing citizens with larger recycling bins and offering local classes about composting and conservation." This is easier to work with because it's a smaller idea, but you can also discuss the overall topic that you might be interested in, which is climate change.

So, now that we know what makes a good, solid thesis statement, you can start to write your own. If you find that you're getting stuck or you are the type of person who needs to look at examples before you start something, then check out our list of thesis statement examples below.

Thesis statement examples

A quick note that these thesis statements have not been fully researched. These are merely examples to show you what a thesis statement might look like and how you can implement your own ideas into one that you think of independently. As such, you should not use these thesis statements for your own research paper purposes. They are meant to be used as examples only.

• Vaccinations Because many children are unable to vaccinate due to illness, we must require that all healthy and able children be vaccinated in order to have herd immunity.
• Educational Resources for Low-Income Students Schools should provide educational resources for low-income students during the summers so that they don't forget what they've learned throughout the school year.
• School Uniforms School uniforms may be an upfront cost for families, but they eradicate the visual differences in income between students and provide a more egalitarian atmosphere at school.
• Populism The rise in populism on the 2016 political stage was in reaction to increasing globalization, the decline of manufacturing jobs, and the Syrian refugee crisis.
• Public Libraries Libraries are essential resources for communities and should be funded more heavily by local municipalities.
• Cyber Bullying With more and more teens using smartphones and social media, cyber bullying is on the rise. Cyber bullying puts a lot of stress on many teens, and can cause depression, anxiety, and even suicidal thoughts. Parents should limit the usage of smart phones, monitor their children's online activity, and report any cyber bullying to school officials in order to combat this problem.
• Medical Marijuana for Veterans Studies have shown that the use of medicinal marijuana has been helpful to veterans who suffer from Post-Traumatic Stress Disorder (PTSD). Medicinal marijuana prescriptions should be legal in all states and provided to these veterans. Additional medical or therapy services should also be researched and implemented in order to help them re-integrate back into civilian life.
• Work-Life Balance Corporations should provide more work from home opportunities and six-hour workdays so that office workers have a better work-life balance and are more likely to be productive when they are in the office.
• Teaching Youths about Consensual Sex Although sex education that includes a discussion of consensual sex would likely lead to less sexual assault, parents need to teach their children the meaning of consent from a young age with age appropriate lessons.
• Whether or Not to Attend University A degree from a university provides invaluable lessons on life and a future career, but not every high school student should be encouraged to attend a university directly after graduation. Some students may benefit from a trade school or a "gap year" where they can think more intensely about what it is they want to do for a career and how they can accomplish this.
• Studying Abroad Studying abroad is one of the most culturally valuable experiences you can have in college. It is the only way to get completely immersed in another language and learn how other cultures and countries are different from your own.
• Women's Body Image Magazines have done a lot in the last five years to include a more diverse group of models, but there is still a long way to go to promote a healthy woman's body image collectively as a culture.
• Cigarette Tax Heavily taxing and increasing the price of cigarettes is essentially a tax on the poorest Americans, and it doesn't deter them from purchasing. Instead, the state and federal governments should target those economically disenfranchised with early education about the dangers of smoking.
• Veganism A vegan diet, while a healthy and ethical way to consume food, indicates a position of privilege. It also limits you to other cultural food experiences if you travel around the world.
• University Athletes Should be Compensated University athletes should be compensated for their service to the university, as it is difficult for these students to procure and hold a job with busy academic and athletic schedules. Many student athletes on scholarship also come from low-income neighborhoods and it is a struggle to make ends meet when they are participating in athletics.
• Women in the Workforce Sheryl Sandberg makes a lot of interesting points in her best-selling book, Lean In , but she only addressed the very privileged working woman and failed to speak to those in lower-skilled, lower-wage jobs.
• Assisted Suicide Assisted suicide should be legal and doctors should have the ability to make sure their patients have the end-of-life care that they want to receive.
• Celebrity and Political Activism Although Taylor Swift's lyrics are indicative of a feminist perspective, she should be more politically active and vocal to use her position of power for the betterment of society.
• The Civil War The insistence from many Southerners that the South seceded from the Union for states' rights versus the fact that they seceded for the purposes of continuing slavery is a harmful myth that still affects race relations today.
• Blue Collar Workers Coal miners and other blue-collar workers whose jobs are slowly disappearing from the workforce should be re-trained in jobs in the technology sector or in renewable energy. A program to re-train these workers would not only improve local economies where jobs have been displaced, but would also lead to lower unemployment nationally.
• Diversity in the Workforce Having a diverse group of people in an office setting leads to richer ideas, more cooperation, and more empathy between people with different skin colors or backgrounds.
• Re-Imagining the Nuclear Family The nuclear family was traditionally defined as one mother, one father, and 2.5 children. This outdated depiction of family life doesn't quite fit with modern society. The definition of normal family life shouldn't be limited to two-parent households.
• Digital Literacy Skills With more information readily available than ever before, it's crucial that students are prepared to examine the material they're reading and determine whether or not it's a good source or if it has misleading information. Teaching students digital literacy and helping them to understand the difference between opinion or propaganda from legitimate, real information is integral.
• Beauty Pageants Beauty pageants are presented with the angle that they empower women. However, putting women in a swimsuit on a stage while simultaneously judging them on how well they answer an impossible question in a short period of time is cruel and purely for the amusement of men. Therefore, we should stop televising beauty pageants.
• Supporting More Women to Run for a Political Position In order to get more women into political positions, more women must run for office. There must be a grassroots effort to educate women on how to run for office, who among them should run, and support for a future candidate for getting started on a political career.

Still stuck? Need some help with your thesis statement?

If you are still uncertain about how to write a thesis statement or what a good thesis statement is, be sure to consult with your teacher or professor to make sure you're on the right track. It's always a good idea to check in and make sure that your thesis statement is making a solid argument and that it can be supported by your research.

After you're done writing, it's important to have someone take a second look at your paper so that you can ensure there are no mistakes or errors. It's difficult to spot your own mistakes, which is why it's always recommended to have someone help you with the revision process, whether that's a teacher, the writing center at school, or a professional editor such as one from ServiceScape .

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The Dissertation Abstract: 101

How to write a clear & concise abstract (with examples).

By:   Madeline Fink (MSc) Reviewed By: Derek Jansen (MBA)   | June 2020

So, you’ve (finally) finished your thesis or dissertation or thesis. Now it’s time to write up your abstract (sometimes also called the executive summary). If you’re here, chances are you’re not quite sure what you need to cover in this section, or how to go about writing it. Fear not – we’ll explain it all in plain language , step by step , with clear examples .

Overview: The Dissertation/Thesis Abstract

• What exactly is a dissertation (or thesis) abstract
• What’s the purpose and function of the abstract
• Why is the abstract so important
• How to write a high-quality dissertation abstract
• Example/sample of a quality abstract
• Quick tips to write a high-quality dissertation abstract

What is an abstract?

Simply put, the abstract in a dissertation or thesis is a short (but well structured) summary that outlines the most important points of your research (i.e. the key takeaways). The abstract is usually 1 paragraph or about 300-500 words long (about one page), but but this can vary between universities.

A quick note regarding terminology – strictly speaking, an abstract and an executive summary are two different things when it comes to academic publications. Typically, an abstract only states what the research will be about, but doesn’t explore the findings – whereas an executive summary covers both . However, in the context of a dissertation or thesis, the abstract usually covers both, providing a summary of the full project.

In terms of content, a good dissertation abstract usually covers the following points:

• The purpose of the research (what’s it about and why’s that important)
• The methodology (how you carried out the research)
• The key research findings (what answers you found)
• The implications of these findings (what these answers mean)

We’ll explain each of these in more detail a little later in this post. Buckle up.

What’s the purpose of the abstract?

A dissertation abstract has two main functions:

The first purpose is to  inform potential readers  of the main idea of your research without them having to read your entire piece of work. Specifically, it needs to communicate what your research is about (what were you trying to find out) and what your findings were . When readers are deciding whether to read your dissertation or thesis, the abstract is the first part they’ll consider. 

The second purpose of the abstract is to  inform search engines and dissertation databases  as they index your dissertation or thesis. The keywords and phrases in your abstract (as well as your keyword list) will often be used by these search engines to categorize your work and make it accessible to users. 

Simply put, your abstract is your shopfront display window – it’s what passers-by (both human and digital) will look at before deciding to step inside. 

Why’s it so important?

The short answer – because most people don’t have time to read your full dissertation or thesis! Time is money, after all…

If you think back to when you undertook your literature review , you’ll quickly realise just how important abstracts are! Researchers reviewing the literature on any given topic face a mountain of reading, so they need to optimise their approach. A good dissertation abstract gives the reader a “TLDR” version of your work – it helps them decide whether to continue to read it in its entirety. So, your abstract, as your shopfront display window, needs to “sell” your research to time-poor readers.

You might be thinking, “but I don’t plan to publish my dissertation”. Even so, you still need to provide an impactful abstract for your markers. Your ability to concisely summarise your work is one of the things they’re assessing, so it’s vital to invest time and effort into crafting an enticing shop window.  

A good abstract also has an added purpose for grad students . As a freshly minted graduate, your dissertation or thesis is often your most significant professional accomplishment and highlights where your unique expertise lies. Potential employers who want to know about this expertise are likely to only read the abstract (as opposed to reading your entire document) – so it needs to be good!

Think about it this way – if your thesis or dissertation were a book, then the abstract would be the blurb on the back cover. For better or worse, readers will absolutely judge your book by its cover .

How to write your abstract

As we touched on earlier, your abstract should cover four important aspects of your research: the purpose , methodology , findings , and implications . Therefore, the structure of your dissertation or thesis abstract needs to reflect these four essentials, in the same order.  Let’s take a closer look at each of them, step by step:

Step 1: Describe the purpose and value of your research

Here you need to concisely explain the purpose and value of your research. In other words, you need to explain what your research set out to discover and why that’s important. When stating the purpose of research, you need to clearly discuss the following:

• What were your research aims and research questions ?
• Why were these aims and questions important?

It’s essential to make this section extremely clear, concise and convincing . As the opening section, this is where you’ll “hook” your reader (marker) in and get them interested in your project. If you don’t put in the effort here, you’ll likely lose their interest.

Step 2: Briefly outline your study’s methodology

In this part of your abstract, you need to very briefly explain how you went about answering your research questions . In other words, what research design and methodology you adopted in your research. Some important questions to address here include:

• Did you take a qualitative or quantitative approach ?
• Who/what did your sample consist of?
• How did you collect your data?
• How did you analyse your data?

Simply put, this section needs to address the “ how ” of your research. It doesn’t need to be lengthy (this is just a summary, after all), but it should clearly address the four questions above.

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Step 3: Present your key findings

Next, you need to briefly highlight the key findings . Your research likely produced a wealth of data and findings, so there may be a temptation to ramble here. However, this section is just about the key findings – in other words, the answers to the original questions that you set out to address.

Again, brevity and clarity are important here. You need to concisely present the most important findings for your reader.

Step 4: Describe the implications of your research

Have you ever found yourself reading through a large report, struggling to figure out what all the findings mean in terms of the bigger picture? Well, that’s the purpose of the implications section – to highlight the “so what?” of your research. 

In this part of your abstract, you should address the following questions:

• What is the impact of your research findings on the industry /field investigated? In other words, what’s the impact on the “real world”. 
• What is the impact of your findings on the existing body of knowledge ? For example, do they support the existing research?
• What might your findings mean for future research conducted on your topic?

If you include these four essential ingredients in your dissertation abstract, you’ll be on headed in a good direction.

Example: Dissertation/thesis abstract

Here is an example of an abstract from a master’s thesis, with the purpose , methods , findings , and implications colour coded.

The U.S. citizenship application process is a legal and symbolic journey shaped by many cultural processes. This research project aims to bring to light the experiences of immigrants and citizenship applicants living in Dallas, Texas, to promote a better understanding of Dallas’ increasingly diverse population. Additionally, the purpose of this project is to provide insights to a specific client, the office of Dallas Welcoming Communities and Immigrant Affairs, about Dallas’ lawful permanent residents who are eligible for citizenship and their reasons for pursuing citizenship status . The data for this project was collected through observation at various citizenship workshops and community events, as well as through semi-structured interviews with 14 U.S. citizenship applicants . Reasons for applying for U.S. citizenship discussed in this project include a desire for membership in U.S. society, access to better educational and economic opportunities, improved ease of travel and the desire to vote. Barriers to the citizenship process discussed in this project include the amount of time one must dedicate to the application, lack of clear knowledge about the process and the financial cost of the application. Other themes include the effects of capital on applicant’s experience with the citizenship process, symbolic meanings of citizenship, transnationalism and ideas of deserving and undeserving surrounding the issues of residency and U.S. citizenship. These findings indicate the need for educational resources and mentorship for Dallas-area residents applying for U.S. citizenship, as well as a need for local government programs that foster a sense of community among citizenship applicants and their neighbours.

Practical tips for writing your abstract

When crafting the abstract for your dissertation or thesis, the most powerful technique you can use is to try and put yourself in the shoes of a potential reader. Assume the reader is not an expert in the field, but is interested in the research area. In other words, write for the intelligent layman, not for the seasoned topic expert. 

Start by trying to answer the question “why should I read this dissertation?”

Remember the WWHS.

Make sure you include the  what , why ,  how , and  so what  of your research in your abstract:

• What you studied (who and where are included in this part)
• Why the topic was important
• How you designed your study (i.e. your research methodology)
• So what were the big findings and implications of your research

Keep it simple.

Use terminology appropriate to your field of study, but don’t overload your abstract with big words and jargon that cloud the meaning and make your writing difficult to digest. A good abstract should appeal to all levels of potential readers and should be a (relatively) easy read. Remember, you need to write for the intelligent layman.

Be specific.

When writing your abstract, clearly outline your most important findings and insights and don’t worry about “giving away” too much about your research – there’s no need to withhold information. This is the one way your abstract is not like a blurb on the back of a book – the reader should be able to clearly understand the key takeaways of your thesis or dissertation after reading the abstract. Of course, if they then want more detail, they need to step into the restaurant and try out the menu.

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17 Comments

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How to tackle the PhD dissertation

Finding time to write can be a challenge for graduate students who often juggle multiple roles and responsibilities. Mabel Ho provides some tips to make the process less daunting

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Writing helps you share your work with the wider community. Your scholarship is important and you are making a valuable contribution to the field. While it might be intimidating to face a blank screen, remember, your first draft is not your final draft! The difficult part is getting something on the page to begin with. 

As the adage goes, a good dissertation is a done dissertation, and the goal is for you to find balance in your writing and establish the steps you can take to make the process smoother. Here are some practical strategies for tackling the PhD dissertation.

Write daily

This is a time to have honest conversations with yourself about your writing and work habits. Do you tackle the most challenging work in the morning? Or do you usually start with emails? Knowing your work routine will help you set parameters for the writing process, which includes various elements, from brainstorming ideas to setting outlines and editing. Once you are aware of your energy and focus levels, you’ll be ready to dedicate those times to writing.

While it might be tempting to block a substantial chunk of time to write and assume anything shorter is not useful, that is not the case. Writing daily, whether it’s a paragraph or several pages, keeps you in conversation with your writing practice. If you schedule two hours to write, remember to take a break during that time and reset. You can try:

• The Pomodoro Technique: a time management technique that breaks down your work into intervals
• Taking breaks: go outside for a walk or have a snack so you can come back to your writing rejuvenated
• Focus apps: it is easy to get distracted by devices and lose direction. Here are some app suggestions: Focus Bear (no free version); Forest (free version available); Cold Turkey website blocker (free version available) and Serene (no free version). 

This is a valuable opportunity to hone your time management and task prioritisation skills. Find out what works for you and put systems in place to support your practice. 

• Resources on academic writing for higher education professionals
• Stretch your work further by ‘triple writing’
• What is your academic writing temperament?

Create a community

While writing can be an isolating endeavour, there are ways to start forming a community (in-person or virtual) to help you set goals and stay accountable. There might be someone in your cohort who is also at the writing stage with whom you can set up a weekly check-in. Alternatively, explore your university’s resources and centres because there may be units and departments on campus that offer helpful opportunities, such as a writing week or retreat. Taking advantage of these opportunities helps combat isolation, foster accountability and grow networks. They can even lead to collaborations further down the line.

• Check in with your advisers and mentors. Reach out to your networks to find out about other people’s writing processes and additional resources.
• Don’t be afraid to share your work. Writing requires constant revisions and edits and finding people who you trust with feedback will help you grow as a writer. Plus, you can also read their work and help them with their editing process.
• Your community does not have to be just about writing!  If you enjoy going on hikes or trying new coffee shops, make that part of your weekly habit.  Sharing your work in different environments will help clarify your thoughts and ideas.

Address the why

The PhD dissertation writing process is often lengthy and it is sometimes easy to forget why you started. In these moments, it can be helpful to think back to what got you excited about your research and scholarship in the first place. Remember it is not just the work but also the people who propelled you forward. One idea is to start writing your “acknowledgements” section. Here are questions to get you started:

• Do you want to dedicate your work to someone? 
• What ideas sparked your interest in this journey? 
• Who cheered you on? 

This practice can help build momentum, as well as serve as a good reminder to carve out time to spend with your community. 

You got this!

Writing is a process. Give yourself grace, as you might not feel motivated all the time. Be consistent in your approach and reward yourself along the way. There is no single strategy when it comes to writing or maintaining motivation, so experiment and find out what works for you. 

Suggested readings

• Thriving as a Graduate Writer by Rachel Cayley (2023)
• Destination Dissertation by Sonja K. Foss and William Waters (2015)
• The PhD Writing Handbook by Desmond Thomas (2016).

Mabel Ho is director of professional development and student engagement at Dalhousie University.

If you would like advice and insight from academics and university staff delivered direct to your inbox each week,  sign up for the Campus newsletter .

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8 Tips for Writing Dissertation Data Analysis to Elevate Your Scholarship

Dissertation data analysis is the process by which researchers interpret findings to drive useful insights. In this way, they can divide the big chunks of results into smaller fragments that make more sense to the reader. It helps to draw evidence-based conclusions and provides the basis for making claims and recommendations. 

Writing up such data analysis is not a skill that someone is born with. You need guidance or practice to meet the standards. If you want to elevate your research skills by writing an exceptional data analysis for your thesis, then consider the guidance provided in this article. Here are the top tips that can help you while you are describing your approach to draw results. If a deeper understanding of the process stresses its complexity, then asking for dissertation help online can take away this academic anxiety. The experts are well aware of the patterns, trends and relationships within the data. So, the write-up can stand out as unique due to the exceptional organizations involved. 

Keep reading to learn the top tips for writing a data analysis chapter in your dissertation. This way, you can stand out in the increasing competition by showcasing your research skills to readers. 

What Is a Data Analysis Dissertation?

Dissertation data analysis is the systematic examination, organization, or interpretation of data from your research findings. The intent is to define patterns to provide a deeper understanding of the qualitative or quantitative results. It addresses the intriguing research question in data analysis dissertations. 

How Do You Write Data Analysis Dissertation? 8 Tips

In presenting data analysis for dissertation, you need to define the statistical test conducted for the process. You will also crack the assumptions underlying these tests, the sample size and how to conclude. Here we will demystify the process of writing the data analysis of your dissertation. These are the expert tips that can assist you in addition to a basic understanding of the process. 

1. The Data Must Be Relevant 

Do not blindly follow all the data collected in the data analysis and findings dissertation. For the data analysis, you will check which part of the data has a close resemblance with your research objectives. The inclusion of irrelevant data will showcase the incoherence of the findings. Ultimately, it can raise questions about your research expertise. 

2. Use Appropriate Methods 

You must use appropriate dissertation data analysis methods to fulfill your aims. These methods need to be justified by providing proper reasoning. Remember that the reader should not feel that you chose your method haphazardly. Rather write in the data analysis chapter dissertation how you find these approaches meaningful. 

3. Make Use of Info Graphics 

It can be difficult to cover large amounts of information within a given word count limit in dissertation data analysis. So, you should use all the possible means to present the data that you collected. Consider using diagrams, graphs, charts, and formulas to provide a unique advantage to the paper. If it seems difficult for you to present your findings in a presentational way, then availing yourself of dissertation writing services UK can be one of the best possible options. These experts can better illustrate the data in a succinate manner that no longer bores the reader with long phrases. 

4. Explain Thoroughly 

Most of the students make this mistake when conducting qualitative data analysis in dissertations. They think that writing a quote is enough for the reader to understand. Remember, a qualitative data analysis dissertation never speaks for itself. You should demonstrate all the areas with a critical perspective so that no ambiguity remains for the reader.  

5. Write Some Data in the Appendix  

It is always scary for the writer to remove long information from dissertation data analysis if it seems irrelevant after proofreading. If you feel unwilling to cut down the long data that you spend hours collecting, then simply shift it to the appendix. Only the most relevant snippet of the information should be part of the dissertation itself. 

The National Academies Press presents a sample of the appendix where questionnaires are used to illustrate the data. 

6. Consider Various Interpretations 

You will cover this part in the discussion chapter of the data collection and analysis dissertation. Here demonstrate the trends, patterns and themes within the data. Highlight the strengths as well as limitations so that there must not be any bias in the findings. 

7. Relate With Previous Literature 

It is advisable to compare your dissertation data analysis with other academia to highlight the points of agreement and differences. Make sure that your findings are consistent with the previous data or does it create some sort of controversy in the literature? It is important to create this link explicitly. 

8. Seek Professional Help 

Writing a dissertation itself is not a difficult process. A researcher who can go through the complex research process can also perform well in writing those findings. However, the critical analysis of these findings may be challenging. Dissertation data analysis is more than presenting what has been found out after experimentation. 

If including a critical perspective in your writing is difficult for you, ask a dissertation writer to conduct these critiques for you. These experts offer customized assistance tailored to the specific needs of the researcher. 

How Do You Write a Statistical Analysis for A Dissertation?

To write the statistical dissertation data analysis, the below five-step guide can direct you to its effective implementation. 

• Describe your hypothesis and research design.
• Data collection. 
• Summarise your findings and give a descriptive explanation. 
• Test your hypothesis. 
• Interpret findings. 

Data Analysis Dissertation Examples

The Bridge Point Education describes the whole dissertation writing process. The dissertation data analysis chapter can be helpful for students struggling with the complexity of it. All the related details, such as what to discuss here and how to align with the research design, are mentioned in side notes as,  

Conclusion 

The dissertation data analysis is one of the most important chapters of your dissertation. It involves the critical evaluation of your results. Consequently, you will tell the reader how the specific methodology and the draw conclusions are sound to be used in your research design. 

The data analysis section of a dissertation is not only essential but also difficult. Many students struggle here as they do not know how to identify the related pattern and organize their thoughts. That is why we presented expert tips to assist the process smoothly. It involves using relevant data, an appropriate approach, a thorough explanation, infographics, an appendix, or relating your findings to previous literature. All of this means contributing to the quality of your paper.

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• Dissertation
• How to Write a Results Section | Tips & Examples

How to Write a Results Section | Tips & Examples

Published on 27 October 2016 by Bas Swaen . Revised on 25 October 2022 by Tegan George.

A results section is where you report the main findings of the data collection and analysis you conducted for your thesis or dissertation . You should report all relevant results concisely and objectively, in a logical order. Don’t include subjective interpretations of why you found these results or what they mean – any evaluation should be saved for the discussion section .

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Table of contents

How to write a results section, reporting quantitative research results, reporting qualitative research results, results vs discussion vs conclusion, checklist: research results, frequently asked questions about results sections.

When conducting research, it’s important to report the results of your study prior to discussing your interpretations of it. This gives your reader a clear idea of exactly what you found and keeps the data itself separate from your subjective analysis.

Here are a few best practices:

• Your results should always be written in the past tense.
• While the length of this section depends on how much data you collected and analysed, it should be written as concisely as possible.
• Only include results that are directly relevant to answering your research questions . Avoid speculative or interpretative words like ‘appears’ or ‘implies’.
• If you have other results you’d like to include, consider adding them to an appendix or footnotes.
• Always start out with your broadest results first, and then flow into your more granular (but still relevant) ones. Think of it like a shoe shop: first discuss the shoes as a whole, then the trainers, boots, sandals, etc.

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If you conducted quantitative research , you’ll likely be working with the results of some sort of statistical analysis .

Your results section should report the results of any statistical tests you used to compare groups or assess relationships between variables . It should also state whether or not each hypothesis was supported.

The most logical way to structure quantitative results is to frame them around your research questions or hypotheses. For each question or hypothesis, share:

• A reminder of the type of analysis you used (e.g., a two-sample t test or simple linear regression ). A more detailed description of your analysis should go in your methodology section.
• A concise summary of each relevant result, both positive and negative. This can include any relevant descriptive statistics (e.g., means and standard deviations ) as well as inferential statistics (e.g., t scores, degrees of freedom , and p values ). Remember, these numbers are often placed in parentheses.
• A brief statement of how each result relates to the question, or whether the hypothesis was supported. You can briefly mention any results that didn’t fit with your expectations and assumptions, but save any speculation on their meaning or consequences for your discussion  and conclusion.

A note on tables and figures

In quantitative research, it’s often helpful to include visual elements such as graphs, charts, and tables , but only if they are directly relevant to your results. Give these elements clear, descriptive titles and labels so that your reader can easily understand what is being shown. If you want to include any other visual elements that are more tangential in nature, consider adding a figure and table list .

As a rule of thumb:

• Tables are used to communicate exact values, giving a concise overview of various results
• Graphs and charts are used to visualise trends and relationships, giving an at-a-glance illustration of key findings

Don’t forget to also mention any tables and figures you used within the text of your results section. Summarise or elaborate on specific aspects you think your reader should know about rather than merely restating the same numbers already shown.

Figure 1: Intention to donate to environmental organisations based on social distance from impact of environmental damage.

In qualitative research , your results might not all be directly related to specific hypotheses. In this case, you can structure your results section around key themes or topics that emerged from your analysis of the data.

For each theme, start with general observations about what the data showed. You can mention:

• Recurring points of agreement or disagreement
• Patterns and trends
• Particularly significant snippets from individual responses

Next, clarify and support these points with direct quotations. Be sure to report any relevant demographic information about participants. Further information (such as full transcripts , if appropriate) can be included in an appendix .

‘I think that in role-playing games, there’s more attention to character design, to world design, because the whole story is important and more attention is paid to certain game elements […] so that perhaps you do need bigger teams of creative experts than in an average shooter or something.’

Responses suggest that video game consumers consider some types of games to have more artistic potential than others.

Your results section should objectively report your findings, presenting only brief observations in relation to each question, hypothesis, or theme.

It should not  speculate about the meaning of the results or attempt to answer your main research question . Detailed interpretation of your results is more suitable for your discussion section , while synthesis of your results into an overall answer to your main research question is best left for your conclusion .

I have completed my data collection and analyzed the results.

I have included all results that are relevant to my research questions.

I have concisely and objectively reported each result, including relevant descriptive statistics and inferential statistics .

I have stated whether each hypothesis was supported or refuted.

I have used tables and figures to illustrate my results where appropriate.

All tables and figures are correctly labelled and referred to in the text.

There is no subjective interpretation or speculation on the meaning of the results.

You've finished writing up your results! Use the other checklists to further improve your thesis.

The results chapter of a thesis or dissertation presents your research results concisely and objectively.

In quantitative research , for each question or hypothesis , state:

• The type of analysis used
• Relevant results in the form of descriptive and inferential statistics
• Whether or not the alternative hypothesis was supported

In qualitative research , for each question or theme, describe:

• Recurring patterns
• Significant or representative individual responses
• Relevant quotations from the data

Don’t interpret or speculate in the results chapter.

Results are usually written in the past tense , because they are describing the outcome of completed actions.

The results chapter or section simply and objectively reports what you found, without speculating on why you found these results. The discussion interprets the meaning of the results, puts them in context, and explains why they matter.

In qualitative research , results and discussion are sometimes combined. But in quantitative research , it’s considered important to separate the objective results from your interpretation of them.

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APPLICATIONS OF ACOUSTIC RADIATION MODES IN ACOUSTIC HOLOGRAPHY AND STRUCTURAL OPTIMIZATION FOR NOISE REDUCTION

Acoustic holography is a powerful tool in the visualization of sound fields and sound sources. It provides engineers and researchers clear insights into sound fields as well as their sound sources. Some widely-used methods include Nearfield Acoustical Holography (NAH), Statistically Optimized Nearfield Acoustic Holography (SONAH) and the Equivalent Source Method (ESM). SONAH and ESM were developed specifically to tackle the intrinsic deficiency of the Fourier-based NAH which requires that the sound field fall to negligible levels at the edges of the measurement aperture, a requirement rarely met in practice. Besides the aforementioned methods, the Inverse Boundary Element Method (IBEM) can be used, given sufficient measurements and computational resources. As useful as they are in visualizing the sound field, none of these methods can provide direct guidance on potential design modifications of the observed structure in order to unequivocally reduce sound power radiation. Acoustic radiation mode analysis has previously been primarily associated with active noise control applications. Since the radiation modes radiate sound power independently, it is only necessary to modify the surface vibration patterns so that they do not couple well with the radiation modes in order to guarantee a reduction of the radiated sound power. Since the radiation modes are orthogonal and complete, they can be used as the basis functions through which the source surface vibration can be described. Therefore, an acoustic holography method based on the acoustic radiation modes will enable the sound power ranking of the modal components of the surface vibration pattern, and in turn, point out the component(s) which should be targeted in order to reduce the overall sound power. However, use of the acoustic radiation modes in the inverse procedure comes with a price: the detailed geometry of the object to be measured must be obtained, thus enabling the calculation of acoustic radiation modes and the modal pressures. But this is not an issue for original equipment manufacturers given that almost all prototypes are now designed with CAD, as is the case with the engine example to be described next.

In modern engine design, downsizing and reducing weight while still providing an increased amount of power has been a general trend in recent decades. Traditionally, an engine design with superior NVH performance usually comes with a heavier, thus sturdier structure. Therefore, modern engine design requires that NVH be considered in the very early design stage to avoid modifications of engine structures at the last minute, when very few changes can be made. NVH design optimization of engine components has become more practical due to the development of computer software and hardware. However, there is still a need for smarter algorithms to draw a direct relationship between the design and the radiated sound power. At the moment, techniques based on modal acoustic transfer vectors (MATVs) have gained popularity in design optimization for their good performance in sound pressure prediction. Since MATVs are derived based on structural modes, they are not independent with respect to radiated sound power. In contrast, as noted, acoustic radiation modes are an orthogonal set of velocity distributions on the structure’s surface that contribute to the radiated sound power independently. As a result, it is beneficial to describe structural vibration in terms of acoustic radiation modes in order to identify the velocity distributions that contribute the majority of the radiated sound power. Measures can then be taken to modify the identified vibration patterns to reduce their magnitudes, which will in turn result in an unequivocal reduction of the radiated sound power. A workflow of the structural optimization procedure is proposed in this dissertation.

While acoustic radiation modes have great efficiencies in describing radiated acoustic power, the computation of acoustic radiation modes can be time consuming. In the last chapter of this thesis, a novel way of calculating acoustic radiation modes is proposed, which differs from the traditional singular value decomposition of the power radiation resistance matrix, and which is more efficient than previously proposed procedures.

Degree Type

• Doctor of Philosophy
• Mechanical Engineering

Campus location

• West Lafayette

Advisor/Supervisor/Committee Chair

Advisor/supervisor/committee co-chair, additional committee member 2, additional committee member 3, usage metrics.

• Acoustics and noise control (excl. architectural acoustics)