The Dissertation Compass | dissertationcompass.com
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Provide context for your study. What is the broader issue? Why does it matter? Use statistics, recent events, or trends to establish relevance. (1-2 paragraphs)
Clearly articulate the specific problem your research addresses. What gap exists in current knowledge or practice? (1 paragraph)
State the purpose of your study in one clear sentence. Begin with: "The purpose of this [qualitative/quantitative/mixed methods] study is to..." (1 paragraph)
List your research questions or hypotheses. Quantitative studies typically use hypotheses; qualitative studies use open-ended questions.
Briefly introduce the theory or framework guiding your study. Explain how it connects to your research questions. (1-2 paragraphs; expanded in Chapter 2)
Explain why this study matters. Who benefits? How does it contribute to theory, practice, or policy? (2-3 paragraphs)
Define specialized terms that readers need to understand your study.
Assumptions: What you take as true without proof. Limitations: Potential weaknesses. Delimitations: Boundaries you set.
Briefly describe the scope and organization of your review. What topics will you cover and in what order?
Discuss the theory or model that undergirds your study. Explain its origins, key constructs, and how it has been applied in prior research.
Synthesize the literature on your first major theme. Group by findings, methodology, or chronology -- not source by source.
Summarize the key findings from the literature. Clearly identify the gap your study will address.
Describe and justify your research design (e.g., qualitative case study, quantitative correlational, mixed methods explanatory sequential).
Describe the target population and your sampling strategy. Include sample size justification (power analysis for quantitative; saturation for qualitative).
Describe the instruments you will use (surveys, interview protocols, observation checklists). Include reliability and validity information.
Describe step-by-step how you will collect data. Include recruitment, consent, and data storage procedures.
Describe how you will analyze the data. Include specific statistical tests or qualitative analysis methods, and the software you will use.
Address threats to validity (quantitative) or describe trustworthiness strategies (qualitative: credibility, transferability, dependability, confirmability).
Describe how you will protect participants. Include IRB review level, informed consent, confidentiality measures, and data security.
List all sources cited in your proposal, formatted according to your required style guide (APA, Chicago, etc.).
Include: survey instruments, interview protocols, consent forms, IRB approval letter, recruitment materials, and any other supplementary materials.