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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.
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