DESIGN AND ANALYSIS OF PSYCHOLOGICAL EXPERIMENTS II
Statistical power, paired-samples t-test, within-subjects ANOVA, mixed models, mediation in within-subjects designs, contrast analysis (= the analysis of categorical predictors with 3 or more levels), multilevel modeling, linear mixed-effects models, restricted maximum likelihood, signal detection theory, logistic regression, exploratory factor analysis, missing data.
Prerequisites & course information
Requisites: Consent of instructor Course Designation: Grad 50% - Counts toward 50% graduate coursework requirement Repeatable for Credit: No Last Taught: Spring 2026 Learning Outcomes: 1. Master analysis of a single and multiple dichotomous within-subject predictors (within-subjects ANOVA) Audience: Graduate 2. Master analysis of a single and multiple continuous within-subject predictors (mixed models) Audience: Graduate 3. Master analysis of indirect effects in within-subjects designs (mediation) Audience: Graduate 4. Master analysis of categorical predictors with 3 or more levels (contrast analysis) Audience: Graduate 5. Master power analysis Audience: Graduate 6. Master analysis of dichotomous outcome variables (logistic regression Audience: Graduate Learning Outcomes: 1. Master analysis of a single and multiple dichotomous within-subject predictors (within-subjects ANOVA) Audience: Graduate 2. Master analysis of a single and multiple continuous within-subject predictors (mixed models) Audience: Graduate 3. Master analysis of indirect effects in within-subjects designs (mediation) Audience: Graduate 4. Master analysis of categorical predictors with 3 or more levels (contrast analysis) Audience: Graduate 5. Master power analysis Audience: Graduate 6. Master analysis of dichotomous outcome variables (logistic regression Audience: Graduate
Sources
- Course catalogue ↗2026-2027