Jonathan S. Gore, PhD

Lecture 1 (intro & variability)

Lecture 2 (variables)

Lecture 3 (correlational designs)

Lecture 4 (items, scores, & reliability)

Lecture 5 (Method sections)

Lecture 6 (underlying factors)

Lecture 7 (factor and cluster analyses)

Lecture 8 (validity)

Lecture 9 (discriminant & logistic analyses)

Lecture 10 (Results sections)

Lecture 11 (experimental designs)

Lecture 12 (experimental variables)

Lecture 13 (ANOVA, Trend, ANCOVA)

Lecture 14 (factorial ANOVA, MANOVA)

Lecture 15 (Hypotheses)

Lecture 16 (advanced correlational designs)

Lecture 17 (correlational analyses)

Lecture 18 (regression analyses)

Lecture 19 (mediation)

Lecture 20 (moderation)

Lecture 21 (structural equation modeling)

Lecture 22 (longitudinal & multilevel modeling)