Lectures

  1. Aug 24 Introduction
  2. Aug 26 Introduction to R
  3. Aug 31 Graphical display of data (1)
  4. Sep 2 Graphical display of data (2)
  5. Sep 7 Basic statistical methods
  6. Sep 9 p-value and confidence intervals
  7. Sep 14 Bootstrap
  8. Sep 16 Multiple regression
  9. Sep 21 Variable selection for regression
  10. Sep 23 Regression diagnostics (1)
  11. Sep 28 Regression diagnostics (2)
  12. Sep 30 Power analysis
  13. Oct 5 Regression with categorical covariates
  14. Oct 7 Logistic regression Moore 16
  15. Oct 12 Lecture and homework review
  16. Oct 14 Midterm Exam
  17. Oct 26 Mediation analysis (1)
  18. Oct 28 Mediation analysis (2)
  19. Nov 2 Moderation analysis
  20. Nov 4 Factor analysis (1)
  21. Nov 9 Factor analysis (2)
  22. Nov 11 Path analysis
  23. Nov 16 Latent variable models
  24. Nov 18 Longitudinal data analysis (1)
  25. Nov 23 Longitudinal data analysis (2)
  26. 25 Thanksgiving Holiday (no class)
  27. Nov 30 Qualitative data analysis (1)
  28. Dec 2 Qualitative data analysis (2)
  29. Dec 7 Classification
  30. Dec 9 Lecture and homework review