Lecture Topics
Lecture 1: Experimental research
Lecture 2: Correlational research
Lecture 3: Variables, distributions, and scales
Lecture 4: Summary statistics
Lecture 5: Correlation
Lecture 6: Measurement
Lecture 7: Introduction to regression
Lecture 8: Null hypothesis significance testing
Lecture 9: The central limit theorem
Lecture 10: Confidence intervals
Lecture 11: Multiple regression
Lecture 12: The general linear model
Lecture 13: Moderation
Lecture 14: Mediation
Lecture 15: Student’s t-test
Lecture 16: Analysis of variance (ANOVA)
Lecture 17: Factorial ANOVA
Lecture 18: Repeated measures ANOVA
Lecture 19: Chi-square tests
Lecture 20: Binary logistic regression
Lecture 21: Assumptions revisited
Lecture 22: Non-parametric statistics
Lecture 23: Generalized linear model
Lecture 24: Course summary
Lab Topics
Lab 1: Introduction to R
Lab 2: Histograms and summary statistics
Lab 3: Scatterplots and correlations
Lab 4: Regression
Lab 5: Confidence intervals
Lab 6: Multiple regression
Lab 7: Moderation and mediation
Lab 8: Group comparisons (t-tests, ANOVA, post-hoc tests)
Lab 9: Factorial ANOVA
Lab 10: Chi-square
Lab 11: Non-parametric tests
Lab 12: Non-linear regression