Announcements

Lecture 1. Review of basic statistical concepts / Introduction to statistical software (Online).

Lecture 2. Normality testing and bias reduction, sample size and power / Introduction to statistical software (Online).

Lecture 3. Regression – Correlation, simple linear regression (quantitative and qualitative variables), multiple linear regression (In person).

Lecture 4. Regression – mediation, moderation, logistic regression (In person).

Lecture 5. T-test and non-parametric tests, Analysis of Variance (ANOVA) (In person).

Lecture 6. Repeated measures (Online).

Lecture 7. Analysis of Covariance (ANCOVA) (In person).

Lecture 8. Multivariate Analysis of Variance (MANOVA) (In person).

Lecture 9. Factor analysis (exploratory factor analysis) (Online).

Lecture 10. Path analysis, SEM, latent growth modeling (In person).

Lecture 11. Cluster Analysis / Discriminant Analysis (In person).

Lecture 12. Systematic review, Critical appraisal of research, Meta-analysis (Online).

Lecture 13. Review – Questions (Online).