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.
Choosing Between Quantitative, Qualitative, and Mixed Methods
Choosing a dissertation methodology is rarely straightforward. This post explains how committees evaluate quantitative, qualitative, and mixed-methods choices, and how aligning methods with research questions leads to more defensible decisions.
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.