Lecture Notes for Quantitative Social Science Methods, IIntroductionTheories of InferenceModels for Binary Outcome VariablesAssorted Models for Single Variable OutcomesModel EvaluationResearch Designs for Causal InferenceDetecting and Reducing Model Dependence in Causal InferenceMultiple Equation ModelsModels for Missing DataAnchoring Vignettes for Interpersonally Incomparable Survey ResponsesSupplement: What's the Big Idea? The lecture slides are here and the handout for one-page-at-a-time (color) printing is here. "Research Designs for Causal Inference" covers the following topics: Components of Causal Estimation Error Research Designs Issues in Ideal Designs Printer-friendly version
