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: |
1. Overview 4. Probability |
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Inference: |
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Binary outcome models: |
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Discrete & limited outcome models: |
11. Discrete outcome models |
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Model evaluation: |
12. Model evaluation |
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Research design for causal inference: |
14. Research design |
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Reducing model dependence: |
15. Model dependence 16. Matching methods |
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Multiple equation models: |
17. Multiple equation models |
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Missing data: |
18. Missing data |
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Anchoring vignettes: |
19. Anchoring vignettes |