Building on skills acquired in Statistics for Psychology I and II, this course introduces students to more advanced statistical techniques and contemporary data analysis software. In addition, the course will focus on data visualization and written communication of statistical results in psychology. Analyses covered may include factor analysis, mediation and moderation, hierarchical regression, multi-way ANOVA designs, linear mixed models, and Bayesian methods.

Antirequisite(s): Psychology 3800F/G, Psychology 3830F/G, Psychology 3891F/G, Psychology 3892F/G.

Prerequisite(s): Both Psychology 2850A/B and Psychology 2851A/B and both Psychology 2855F/G and Psychology 2856F/G or both Psychology 2800E and Psychology 2810.

Extra Information: 2 lecture hours, 2 laboratory hours.