In this course, students master the analysis of OLS general and generalised linear models using SPSS. Starting with a comparison of ANOVA and regression approaches, and how their respective SPSS dialogues can be used flexibly to produce similar results. Students are familiarised with analyses of between groups, repeated measures, and mixed datasets; higher-order interactions and moderation; crossing fixed factors with covariates; traditional and bootstrapping approaches to mediation; handling non-normal outcomes; and the basics of Bayesian inference. Along the way, students discuss and consider the details of experimental design, measurement, power,and ethics.