How to Justify Your Sample Size in a Dissertation Proposal
Sample size questions often create anxiety during dissertation proposals. This post explains how to justify your sample using power analysis, saturation, and feasibility reasoning in ways committees recognize as defensible.
Choosing the Right Statistical Software
Choosing statistical software is a strategic research decision, not a technical preference. This post explains how to select between Stata, R, Python, SPSS, and more based on your research design, timeline, and committee expectations.
Common Mistakes in Quantitative Dissertations
Quantitative dissertations often face pushback not because analyses are incorrect, but because analytic choices are poorly aligned or under explained. This post outlines common mistakes in quantitative dissertations and explains how clarity and justification can strengthen committee evaluation.
What Makes Research Methodologically Defensible?
Research is rarely evaluated on whether it follows a single correct path. Instead, it is judged on whether methodological decisions are coherent, justified, and appropriate for the research context. This post explains what makes research methodologically defensible across review settings.
Power, Sample Size, and Feasibility in Real-World Research
Power and sample size decisions in real-world research are shaped by feasibility, access, and constraints. This post explains how evaluators assess these decisions and how transparency and alignment support defensible research design.