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Experimental Research Design and Analysis

EDUC
430A
Instructors
Bettinger, E. (PI)
Novicoff, S. (TA)
Section Number
1
The course will cover the following topics: a) the logic of causal inference and the Fisher/Neyman/Rubin counterfactual causal model (Fisher, 1935; Heckman, 1979; Holland, 1986; Neyman, 1990; Rubin, 1978); b) randomized experiments; c) complex randomized experiments in education (cluster randomized trials, multi-site trials, staggered implementation via randomization, etc.); d) policy experiments with randomization; e) meta-analysis; and f) power in randomized experiments; g) the ethics and politics of randomized experiments.
Grading
Letter (ABCD/NP)
Units
3-5
Academic Career
Graduate
Course Tags
Computational Policy Analysis
Academic Year
Quarter
Autumn
Section Days
Monday Wednesday
Start Time
8:30 AM
End Time
10:20 AM
Location
Ceras 108