Analyze key concepts and methods of causal inference. Examine strategies for isolating the relationship between a given predictor and dependent variable of interest from potential confounders to determine whether any quantitative social science study is employing causal inference or "naive" methods; articulate the pros, cons, and assumptions made by different causal inference strategies; and understand how to engineer a causal study. Three lecture hours a week for one semester. Sociology 385N and 387C (Topic: Causal Inference) may not both be counted. Prerequisite: Graduate standing.