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How to Write Your Dissertation Chapter 3?

Table of Contents

In this article, we are going to discuss dissertation chapter 3 , as many students consider it to be the most challenging section to write and for a good reason.

The body of the dissertation research papers is divided into different chapters and sections. The standard dissertation structure may vary from discipline to discipline, but it typically includes sections like:

• Introduction
• Literature review
• Methodology

Each part of the dissertation should have a central idea, which is introduced and argued.

We will provide you with a concise and in-depth overview of chapter 3 methodology to help you get started.

What is dissertation chapter 3 about?

Chapter 3 dissertation outlines specific methods chosen by a writer to research a problem. It’s essential to provide enough information so that an experienced researcher could replicate the study.

You need to explain what techniques were used for data collection and provide an analysis of results to answer your college research paper question. Besides, you need to explain the chosen methods and justify them, describe the research setting, and give a detailed explanation of how you applied those methods in your study.

… How you do that?

• Start with a clear explanation of approaches used for solving the problem.
• Describe all the components of methodology in detail.
• Describe all methods and tell how you used them in your study. Clarify why each particular technique would be the best choice for answering your research question.

Below is the basic outline you can use as a template when writing dissertation methodology section.

How to write AP government chapter 3 outline?

Looking for AP Government chapter 3 outline which provides a college-level introduction to the structure and function of the US government and politics? Keep in mind that it’s not the same thing as a typical outline of the methodology section in your final paper.

Example of outline for chapter 3

• Introduction , stating the purpose of the part, introducing the methods, and outlining the section’s organization.
• Research questions , hypothesis, and variables.
• Research design – describe the investigation approach and justify specific chosen methods, citing relevant literature.
• Study setting – describe the role of the researcher in gathering data.
• Study participants and data sources – explain criteria and strategies used when selecting participants and describe systems used for collecting and storing information.
• Procedures and instruments – demonstrate methods and state each step for performing the study in detail.
• Data analysis – discuss statistical tools and methods applied to analyze information and measures to increase validity.
• Summary of the key points.

What is chapter 3 methodology?

When reporting about their new studies, scholars always have to answer 2 main questions:

• How was the latest information gathered or generated?
• Which specific techniques and procedures were utilized when analyzing data?

There are loads of different techniques and procedures you can choose to investigate a particular research problem.

Remember: choosing appropriate methodology is critical to the success of any study.

If you select an unreliable technique, it will produce inaccurate results during the interpretation of your findings. That’s not the outcome you want.

There are two groups of primary data collection methods: qualitative and quantitative.

Qualitative research techniques don’t involve any mathematical calculations and numbers.

They are strongly connected with emotions, words, feelings, sounds. Qualitative study ensures in-depth investigation and a greater level of problem understanding.

The qualitative investigation includes interviews, case studies, role-playing, games, observations, focus groups, and questionnaires with open-ended questions.

Quantitative techniques for data collection and analysis are based on mathematical calculations in a variety of forms and statistics.

They include methods of correlation and regression, questionnaires with close-ended questions, median, mode, and mean and procedures.

These procedures are cheaper to apply than qualitative ones. They require less time for implementation. They are highly standardized and, as a result, scientists can easily compare findings.

Wondering which approach to choose to cover your investigation question? It depends on the research area and specific objectives.

Few thoughts on chapter 3 thesis

In chapter 3 thesis, which is written in the same way as methodology part of a dissertation, you discuss how you performed the study in great detail. It usually includes the same elements and has a similar structure.

You can use the outline example of this section for a dissertation but you should take into account that its structure should illustrate the research approach and design of your specific study.

That’s why you should be careful and include only relevant elements into your methodology section.

As you see, dissertation chapter 3 is a very significant part of the lengthy academic paper students write to get their degrees.

It should be written like a recipe so that anyone could adopt your techniques and replicate your investigation.

It requires strong analytical and critical thinking skills, dedication, and many hours of reading and writing.

It’s essential to choose the right approach to selecting and explaining investigation techniques.

We hope that this quick guide will help you create an impressive methodology section of your final academic project.

Not feeling like writing your dissertation chapter 3? How about handing it to a pro? Few clicks, brief instructions, and you’re free. Come on, our writers strive to help you out!

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CHAPTER 3 QUALITATIVE RESEARCH

The chapter outlines the research design off the study which includes the philosophical assumption, interpretive frameworks, research design, participants and sampling, ethical consideration, role of the researcher, data collection, data analysis and trustworthiness of the study about the victims of online scamming

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All research is based on some underlying philosophical assumptions about what constitutes 'valid' research and which research method(s) is/are appropriate for the development of knowledge in a given study. In order to conduct and evaluate any research, it is therefore important to know what these assumptions are. This chapter discusses the philosophical assumptions and also the design strategies underpinning this research study. Common philosophical assumptions were reviewed and presented; the interpretive paradigm was identified for the framework of the study. In addition, the chapter discusses the research methodologies, and design used in the study including strategies, instruments, and data collection and analysis methods, while explaining the stages and processes involved in the study. The research design for this study is a descriptive and interpretive case study that is analysed through qualitative methods. Questionnaires were used to evaluate participants' WebCT skills (before the course starts) and to determine their levels of satisfaction in the course (at the end of the case study). A descriptive statistical method was used to analyze the student satisfaction survey. Participant observation, face-to-face interviews, focus-group interviews, questionnaires, and member checking were used as data collection methods. Furthermore, the justification for each of the data collection methods used in the study was discussed. Finally, in order to ensure trustworthiness of the research, appropriate criteria for qualitative research were discussed, and several methods that include member checks, peer reviews, crystallisation and triangulation were suggested and later employed. The chapter closed with a diagrammatic representation of the major facets of the envisaged framework for the research design and development of the study, and a discussion on the project management approach envisaged for this study.

saeed ahmed

The research design for this study is a descriptive and interpretive case study that is analysed through qualitative methods. Questionnaires were used to evaluate participants' WebCT skills (before the course starts) and to determine their levels of satisfaction in the course (at the end of the case study). A descriptive statistical method was used to analyze the student satisfaction survey. Participant observation, face-to-face interviews, focus-group interviews, questionnaires, and member checking were used as data collection methods. Furthermore, the justification for each of the data collection methods used in the study was discussed. Finally, in order to ensure trustworthiness of the research, appropriate criteria for qualitative research were discussed, and several methods that include member checks, peer reviews, crystallisation and triangulation were suggested and later employed. The chapter closed with a diagrammatic representation of the major facets of the envisaged framework for the research design and development of the study, and a discussion on the project management approach envisaged for this study.

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Duff, P. (2019). Case study. In C. Chapelle (Ed.), Concise encyclopedia of applied linguistics. Wiley. ABSTRACT:This encyclopedia entry provides a methodological overview of case study research in applied linguistics, and especially in the area of second language teaching and learning. The entry begins with a definition and description of case study and references to other recent reviews of this qualitative approach to research. Examples of case study research are presented, together with a discussion of issues and options that arise in conducting and reporting on such research, such as ethical considerations, sampling or selection decisions, issues of generalizability, possibilities and challenges when conducting longitudinal research, and ways of analyzing and presenting data in single-case versus multiple-case studies. Next, the entry discusses ways of including case study in mixed-method research and cites an example from the field of study-abroad research. The entry concludes with some criteria for the assessment of effective and engaging case studies.

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CHAPTER THREE Sample – A sample Research methodology Chapter 3

Chapter three, research methodology, 3.1 introduction.

It is standard practice in research for researchers to specify the methods they used to achieve their study objectives. Thus, this chapter presents the methodology adopted in this study in order to achieve the study objectives and provide answers to the research questions. Specifically, this section explains the research design, the population of the study, the study model, the sources of data , and the method for analyzing the data, among other things.

Content Outline

3.2 Research Design

The general framework or strategy that logically merges the diverse components of a study in a coherent manner and is often adopted by a researcher in order to ensure that the research problems are effectively addressed is known as a research design (Myers et al., 2013). In the view of Marczyk et al. (2010), a research design contains the plan for measurement, collection, and analysis of data. In this study, a quantitative study design was adopted. A quantitative research design stresses objective measurement and the numerical, mathematical, and statistical analysis of data (Apuke, 2017). A quantitative design is considered appropriate for this study because it provides a statistical answer to the research questions.

3.3 Population of Study

A population is the total number of entities that are of interest to a researcher (Crane et al., 2017). The population of this study is made up of listed IT firms in the UK and Europe. According to Nasdaq (2022), there are 3 listed UK-based IT firms and 16 European-based IT firms. This makes the total population of the study 19 IT firms. However, the three IT listed firms in the UK will be considered. This includes Atlassian Corporation Plc Class, Mimecast Limited, and GAN Limited. The selected European IT firms include ASML Holding N.V., Seagate Technology Holding Plc., and Ericsson. The financial statements of the IT firms in the UK from 2018 to 2021 will be analyzed in order to get the financial performance data of the studied firms. Also, the demographic compositions of the selected IT firms will be investigated to determine their gender diversity.

3.4 Model Specification

The model developed for this study specifies the financial performance of selected IT firms (profitability) as a function of gender diversity. The functional representation of the study model is presented thus:

ROA= F (GD) ………………………………………………. (1)

ROA = Return on Asset

GD = Gender diversity

However, the functional model presented in equation (1) can be transformed into an econometric model for the estimation of the relationship between the variables. The econometrically transformed model is presented below:

ROAt = β0 + β1GDt + ðt

β0 = intercept

β1 = Coefficient of Gender Diversity

ðt = Error term

3.5 Variables Measurement and Description

Return on asset (roa).

The ROA is a monetary ratio that signals the profitability of a firm in relation to its total assets (Almira et al., 2020). Based on this definition, the ROA, which is also a measure of the financial performance of a firm, is measured by dividing the monetary value of net income by total assets. This is consistent with the study by Polina (2017), who investigated the impact of board diversity on corporate financial performance. The formula is expressed thus:

Gender Diversity

Gender diversity refers to the fair or equal representation of individuals of diverse genders in a group (Reddy and Jadhav, 2019). It is commonly described as an equal ratio of women and men. The gender diversity of boards in this study is measured by dividing the number of females in managerial and administrative positions by the total number of board members. The formula is specified thus,

3.6 Source of Data

This study is exclusively dependent on secondary sources of information. Since the study design adopted in this study is quantitative, secondary sources of quantitative data on the study variable were used in gathering relevant information. Specifically, the major source of data for the study was the annual financial report of the selected IT firms. The financial statements of these firms were gotten from the Nasdaq website, which is one of the sites where listed companies’ financial activities are documented. Each IT firm’s data was analyzed over a period of four years (from 2018 to 2021). Also, some information on the composition of the selected IT firms was obtained from the websites of those firms.

3.7 Method of Data Analysis

The quantitative method of analysis was adopted in this study. The data analysis begins with descriptive statistics of the study variable. A descriptive method of analysis was also used to analyze the extent to which women are given managerial and administrative roles in IT firms in the UK and to compare the extent of board gender diversity between the UK and Europe. Also, a correlation and regression analysis were used in this study to assess the impact of board gender diversity on the financial performance of the selected listed IT firms in the UK. Specifically, this study adopted a pooled balance panel data regression. This was to ensure completeness of data and simplicity of study analysis. Data analysis was done using the EViews statistical software version

Almira, N.P.A.K. and Wiagustini, N.L.P., (2020). Return on asset, return on equity, dan earning per share berpengaruh terhadap return saham.  E-Jurnal Manajemen ,  9 (3), pp.1069-1088. [Online] Available at: https://pdfs.semanticscholar.org/3066/9c80597a2d8f3125bf97837e6498d44b07b9.pdf [Accessed: 6 March, 2022].

Apuke, O.D., (2017). Quantitative research methods: A synopsis approach.  Kuwait Chapter of Arabian Journal of Business and Management Review ,  33 (5471), pp.1-8. [Online] Available at: https://www.proquest.com/openview/058c84ecfd436cf965eacb1556000ab0/1?pq-origsite=gscholar&cbl=2042228 [Accessed: 6 March, 2022].

Crane, A., Henriques, I., Husted, B.W. and Matten, D., (2017). Measuring corporate social responsibility and impact: Enhancing quantitative research design and methods in business and society research.  Business & Society ,  56 (6), pp.787-795. [Online] Available at: https://journals.sagepub.com/doi/full/10.1177/0007650317713267 [Accessed: 6 March, 2022].

Marczyk, G.R., DeMatteo, D. and Festinger, D. (2010) “ Essentials of research design and methodology”  (Vol. 2). John Wiley & Sons 12 pp.25-39 [Online] Available at: http://dspace.vnbrims.org:13000/xmlui/bitstream/handle/123456789/4650/Essentials%20of%20Research%20Design%20and%20Methodology%202005.pdf?sequence=1&isAllowed=y [Accessed: 6 March, 2022].

Myers, J.L., Well, A.D. and Lorch Jr, R.F. (2013) “ Research design and statistical analysis ”. Routledge 53 pp.202-214 [Online] Available at: https://doi.org/10.4324/9780203726631 [Accessed: 7 March, 2022].

Nasdaq (2022) “Stock Screener” [Online] Available at: https://www.nasdaq.com/market-activity/stocks/screener [Accessed: 8 February, 2022].

Polina, T. (2017) “The Impact of Board of Directors Diversity Upon Corporate Financial Performance” Business ethics: A European review , 16(4) pp.344-357 [Online] Available at: https://dspace.spbu.ru/bitstream/11701/9533/7/reviewSV_Tingli_P__mag_rec.pdf [Accessed: 20 February, 2022].

Reddy, S. and Jadhav, A.M., (2019). Gender diversity in boardrooms–A literature review.  Cogent Economics & Finance ,  7 (1), p.1644703. [Online] Available at: https://www.tandfonline.com/doi/full/10.1080/23322039.2019.1644703[Accessed: 6 March, 2022].

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