Blog
Practical guides on choosing, running, interpreting, and reporting statistical tests for your research.
How to Choose the Right Statistical Test: A Beginner's Guide
A step-by-step guide to selecting the right statistical test for your research question, data type, and study design. Covers t-tests, ANOVA, chi-square, correlation, and regression.
Free Statistics Tools Every Graduate Student Should Bookmark
Discover the best free statistics tools for dissertation research. Includes calculators, software, and resources for power analysis, effect sizes, and more.
The Assumption of Normality: How to Test It and What to Do If It Fails
Learn how to test the normality assumption using Shapiro-Wilk, Q-Q plots, and skewness. Includes practical solutions when your data isn't normally distributed.
Interpreting Regression Output: A Plain-Language Guide
Learn how to read and interpret regression output from SPSS or R. Covers R-squared, coefficients, p-values, beta weights, and how to report results in APA.
What Is Statistical Power and Why Should You Care?
Understand statistical power in plain language. Learn why low power leads to missed findings, how to calculate it, and what it means for your dissertation.
How to Report Mixed Methods Results
Learn how to report mixed methods research results in your dissertation. Covers integration strategies, joint displays, and writing up qualitative and quantitative findings.
Pre-Test/Post-Test Designs: Which Statistical Test to Use
Learn which statistical test to use for pre-test/post-test research designs. Covers paired t-tests, repeated measures ANOVA, ANCOVA, and mixed ANOVA.
Understanding Confidence Intervals for Non-Statisticians
A plain-language guide to confidence intervals. Learn what they mean, how to interpret them, and why they matter more than p-values for your dissertation.
Correlation Does Not Imply Causation: What It Actually Means
Understand why correlation doesn't equal causation. Learn about confounding variables, spurious correlations, and how to discuss causal claims in research.
How to Create an APA-Formatted Results Table
Step-by-step guide to creating APA 7th edition results tables. Includes formatting rules, examples for t-tests, ANOVA, and regression, plus common mistakes.
Hedges' g vs. Cohen's d: Which Effect Size Should You Report?
Understand the difference between Hedges' g and Cohen's d. Learn when to use each effect size measure and why it matters for your dissertation results.
The 5 Most Common Statistical Mistakes in Dissertation Research
Avoid the top 5 statistical mistakes that dissertation committees catch. From ignoring assumptions to misinterpreting p-values, learn how to get it right.