Lectures & Readings

Students in our class use Perusall to watch the lecture videos while helping each other, annotating the timelines, and responding to each other's annotations, questions, and other discussions.  If you're enrolled, you'll receive access to Perusall automatically (through Canvas, Harvard's learning management system).

Students not in our class can access the videos directly on YouTube here (or via direct links below; also below are PDFs of the slides I use to display during video lectures [see "Lecture slides" for each below] and in a printable format ["Handout"]). Instructors, or groups of students watching together, may alternatively create their own free Perusall class account by registering here, creating a course, and entering in "copy code" 6AFEYRZH4P, which will pull in all of the videos.

Lecture Notes Lecture Videos Readings

Introduction:

Handout 

Lecture slides

 1. Overview (Week 1)

 2. Statistical models (Week 2)

 3. Data generation process (Week 2)

 4. Probability  (Week 3)

 

Inference:

Handout

Lecture slides

 5. Theories of inference (Week 3)

 6. Likelihood inference (Week 4)

 7. Uncertainty estimates (Week 5)

 8. Statistical simulation (Week 5)

 

Binary outcome models:

Handout

Lecture slides

 9. Binary outcome models (Week 6)

10. Interpreting and presenting statistical results (Week 6)

 

Discrete & limited outcome models:

Handout

Lecture slides

11. Discrete outcome models (Week 7)  

Model evaluation:

Handout

Lecture slides

12. Model evaluation (Week 8)

13. Robust standard errors (Week 8)

 

Research design for causal inference:

Handout

Lecture slides

14. Research design (Week 9)  

Reducing model dependence:

Handout

Lecture slides

15. Model dependence (Week 9)

16. Matching methods (Week 10)

 

Multiple equation models:

Handout

Lecture slides

17. Multiple equation models (Week 11)  

Missing data:

Handout

Lecture slides

18. Missing data (Week 12)  

Anchoring vignettes:

Handout

Lecture slides

19. Anchoring vignettes (Week 12)