Quant Meth 3 Experimental Meth
5:40pm–6:55pm
URIS HALL URI 307
Morningside
Seat data provenance: Directory as of September 29, 2026 at 4:00 AM
Description
In this course, we will discuss the logic of experimentation, its strengths and weaknesses compared to other methodologies, and the ways in which experimentation has been — and could be — used to investigate social phenomena. Students will learn how to interpret, design, and execute experiments. Special attention will be devoted to field experiments, or randomized trials conducted in real-world settings. Prerequisites: Students should have taken at least one or two semesters of statistics. Some understanding of probability, hypothesis testing, and regression are assumed. Familiarity with statistical software such as R is helpful. We will be working with data in class throughout the term. The examples used in the textbook and lectures are written in R, and R tutorials will be taught in special sessions early in the term
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Instructor quality
n=2, 2013–2020
Aggregated across every course Donald P Green has taught.
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Difficulty
1.5 / 5 · Easy
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Positive
In your week
Where it meets
Flat map — motion reduced
Workload and grading
- Grading
- Not published
- Format
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- Credits
- 4 credits
Reported workload
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