printer friendly pageHRP 239: Statistical Methods for Group Comparisons and Causal Inference (EDUC 260X, STATS 209)
Critical examination of statistical methods in social science applications, especially for cause and effect determinations. Topics: path analysis, multilevel models, matching and propensity score methods, analysis of covariance, instrumental variables, compliance, longitudinal data, mediating and moderating variables. See
http://web.stanford.edu/~rag/stat209/. Prerequisite: intermediate-level statistical methods.
Terms: Win
| Units: 3
Instructors:
Rogosa, D. (PI)
;
Du, W. (TA)
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