Results for HRP239

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.