Side-by-side comparison of one-way ANOVA and Kruskal-Wallis ANOVA — including the mathematical equivalence of F and H statistics, power efficiency, and a practical decision framework for psychology research.
Master causal comparative (ex-post-facto) research design — its definition, procedure, data analysis techniques (t-test, ANOVA, chi-square), and comparison with correlational and experimental designs.
Understand factorial design in psychological research — definition, key terms like main effects, interaction, randomization, and blocking — with examples and diagrams.
Comprehensive introduction to the Kruskal-Wallis one-way ANOVA by ranks — the non-parametric alternative to one-way ANOVA for comparing three or more independent groups in psychology research.
Comprehensive guide to One-Way ANOVA: the F-ratio, between/within group variance, assumptions, worked examples with post-hoc t-tests, and applications in psychology research.
Comprehensive answers to all previous year questions on One-Way ANOVA in MPC-006 Statistics in Psychology (22 papers, 2011–2024)
Comprehensive guide to the major parametric statistical tests—t-tests for two samples, ANOVA for three or more samples, and Pearson's r and Fisher's Z for correlation—including formulas, assumptions, and worked examples.
Master standardised regression coefficients (beta weights), the multiple regression equation with two or more predictors, ANOVA table for multiple regression, and the hierarchical vs. simultaneous entry methods.
Comprehensive guide to Two-Way ANOVA: main effects, interaction effects, factorial designs, worked examples with 2×2 designs, graphical interpretation, and psychology applications.
Comprehensive answers to all previous year questions on Two-Way ANOVA in MPC-006 Statistics in Psychology (14 papers, 2011–2024)