Students in our class will 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 lectures on video). 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.
| Notes | Videos |
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Introduction: |
2. Statistical models (Week 2) |
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Inference: |
5. Theories of inference (Week 3) 6. Likelihood inference (Week 4) |
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Binary outcome models: |
9. Binary outcome models (Week 6) 10. Interpreting and presenting statistical results (Week 6) |
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Discrete & limited outcome models: |
11. Discrete outcome models (Week 7) |
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Model evaluation: |
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Research design for causal inference: |
14. Research design (Week 9) |
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Reducing model dependence: |
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Multiple equation models: |
17. Multiple equation models (Week 11) |
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Missing data: |
18. Missing data (Week 12) |
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Anchoring vignettes: |
19. Anchoring vignettes (Week 12) |