DESIGN AND ANALYSIS OF PSYCHOLOGICAL EXPERIMENTS I
Reliability, validity, one-sample t-test, independent-samples t-test, simple and multiple regression, effect size indicators, analysis of variance (ANOVA), analysis of covariance (ANCOVA), case analysis, model assumptions, transformations, polynomial regression, simple mediation, and moderated mediation.
Prerequisites & course information
Requisites: Consent of instructor Course Designation: Grad 50% - Counts toward 50% graduate coursework requirement Repeatable for Credit: No Last Taught: Fall 2026 Learning Outcomes: 1. Master reliability and validity in empirical research Audience: Graduate 2. Master inferences about a single mean (t-test) Audience: Graduate 3. Master analysis of single and multiple dichotomous predictors (ANOVA) Audience: Graduate 4. Master analysis of single and multiple continuous predictors (regression) Audience: Graduate 5. Master analysis of indirect effects (mediation) Audience: Graduate 6. Master analysis of non-linear relationships (polynomial regression) Audience: Graduate 7. Generate publication-level graphs Audience: Graduate Learning Outcomes: 1. Master reliability and validity in empirical research Audience: Graduate 2. Master inferences about a single mean (t-test) Audience: Graduate 3. Master analysis of single and multiple dichotomous predictors (ANOVA) Audience: Graduate 4. Master analysis of single and multiple continuous predictors (regression) Audience: Graduate 5. Master analysis of indirect effects (mediation) Audience: Graduate 6. Master analysis of non-linear relationships (polynomial regression) Audience: Graduate 7. Generate publication-level graphs Audience: Graduate
Sources
- Course catalogue ↗2026-2027