How to Conduct Literature Review for Your Dissertation
October 15, 2023Outline
I. Research Philosophy and Approach
II. Research Questions and Objectives
III. Data Collection Methods
IV. Target Population and Sampling
V. Justify Sample Size
VI. Data Analysis Methods
VII. Validity, Reliability and Ethics
VIII. Structure and Cohesion
IX. Frequently Asked Questions
How to Write an Outstanding Methodology Chapter
The methodology section is a critical component of your dissertation, outlining the approaches and techniques you will use to conduct your research. A robust methodology demonstrates the validity and reliability of your study while providing a blueprint that other researchers can follow. Here are tips for writing an outstanding methodology:
Define Your Research Philosophy and Approach
Start by clearly articulating your research philosophy and approach. For example, state whether your study is framed by a positivist perspective that uses objective measures to test theories, or an interpretivist perspective focused on subjective experiences and qualitative data.
If your philosophy aligns with positivism, your approach will likely be deductive involving hypothesis testing. An interpretivist study often uses an inductive approach to generate new theories from observations.
You can also combine deductive and inductive techniques in a mixed methods approach. Use relevant examples to illustrate your philosophical stance and approach. For instance, explain how a deductive approach guided the development of testable hypotheses from established theories on the research topic.
Compose Strong Research Questions and Objectives
Your research questions are the cornerstones of the dissertation, guiding all methodological choices. To formulate robust questions, carefully review existing literature to identify knowledge gaps. Refine broad topics into focused, answerable research questions that will provide new insights.
For example, a vague research area like “social media addiction” can be transformed into a specific question like “What is the relationship between high social media use and symptoms of anxiety and depression among teenagers?” Include clear definitions of key concepts being investigated.
The research objectives derive logically from the questions, setting out the study’s overall aims such as “to assess the prevalence of social media addiction among teenagers” or “to examine the impacts of social media use on mental health.”
Selecting Appropriate Data Collection Methods
Outline the data collection tools you will use and demonstrate how they align with your research questions and objectives. For a study using interviews, detail the open-ended nature of the interview questions and how this technique will capture participants’ perspectives. In a survey-based study, illustrate how the questionnaire items connect to the constructs and relationships being measured.
Provide specifics on the data collection process – how participants will be recruited, the expected number and length of interviews or the survey distribution and administration procedures. Justify why your chosen techniques are suited to gathering the required data to answer the research questions.
Define the Target Population and Sample
Clearly describe the target population using relevant characteristics like demographics, professions, behaviors or attitudes. Then detail your sampling strategy for selecting participants from that population.
For example, explain how probability sampling using a random number generator will identify survey respondents from the target population. Or illustrate how purposive sampling will help recruit interview participants with distinct experiences related to the research questions.
Justify the Sample Size
Use appropriate statistical techniques and sample size calculators to determine your required sample size. For example, you may need a sample of at least 385 respondents to provide a 95% confidence level with a 5% margin of error on a survey-based study. Consider factors like the level of variability in the target population, desired confidence level, acceptable margin of error, and expected response rates when justifying your sample size.
Describe Data Analysis Methods
Articulate how you will analyze data to answer the research questions by describing specific quantitative (e.g. statistical tests) and qualitative (e.g. coding) techniques. For example, explain that interview transcripts will be coded using thematic analysis to identify key themes related to the research topic. Or survey data will be analyzed using correlation tests to assess the relationship between variables. Outline which data analysis software or tools you will utilize.
Address Validity, Reliability and Research Ethics
Demonstrate how your methodology ensures validity and reliability. For example, discuss how mixed methods triangulation compares and validates consistent findings from both quantitative and qualitative techniques. Explain any efforts to enhance reliability, like ensuring consistent survey administration procedures or developing an interview protocol.
Also address ethical issues like informed consent, potential harm, and confidentiality protections. For instance, describe how you will 1) obtain and document informed consent from all participants, 2) anonymize interview data, and 3) securely store all data in password-protected files.
Follow Appropriate Structure and Cohesion
Adhere to logical structure by moving from broad foundation to specific techniques. Ensure smooth flow between sections using transitional phrases like “The next component of the methodology is…” or “Building on the research questions, the data collection approach will involve…”
In summary, an outstanding methodology provides a robust framework for your dissertation research. Clearly articulate your philosophical approach, research design, data collection tools, sampling technique, analysis methods, ethics, and validity measures. Pay close attention to detail while structuring your methodology in a logical and cohesive sequence. A well-defined, rigorous methodology will demonstrate the credibility of your study and its contributions to the field.
FAQs
1. What should I include in the methodology chapter of my dissertation?
The methodology chapter provides a detailed overview of your research design and methods. It should include your research philosophy (positivism, interpretivism etc), approach (deductive, inductive), data collection and analysis techniques, sampling strategy, and measures taken to ensure validity and reliability.
2. How do I choose the right research methodology for my study?
Consider the research questions, goals and variables you are examining. Quantitative methods like surveys align with positivist deductive research while qualitative techniques like interviews suit interpretivist inductive approaches. Choose methods that will effectively collect the right data to answer your questions.
3. What makes for a robust sampling technique?
Provide details about your target population as well as the rationale for your chosen sampling method (e.g. random, purposive). Your sampling technique should enable you to select participants or data sources relevant to your research questions and study phenomena. Also justify your sample size using power analysis or sample size calculators.
4. Should I include ethical considerations in my methodology?
Yes, discuss ethical issues like informed consent, confidentiality, anonymity and any potential harm or risks to participants. Outline steps you will take to protect participants and ensure you conduct research in an ethical manner. This is a key component of a rigorous methodology.
5. How do I demonstrate the reliability of my dissertation research?
Reliability refers to the consistency and reproducibility of your findings. Discuss steps to ensure consistency in your data collection procedures and analysis techniques. You can also adopt methods like test-retest reliability to assess the stability of results over time.
6. What is the best way to structure my methodology chapter?
Organize your methodology logically, starting with a restatement of the research questions, then moving on to articulate your philosophical assumptions, research design, data collection tools, sampling techniques, data analysis methods, ethical considerations, and reliability/validity measures.