SOWK 828 CASUAL INFERENCE
The primary aims of this course are to provide a foundation in the use of statistics for causal inference in the context of observation (non-experimental) research design, including the use of causal frameworks for describing assumptions and hypotheses to test, and advanced statistical methods for estimating and testing associations and making causal inferences from these associations. This course is designed to provide both conceptual and applied material, including practice at using several frameworks and methods for causal inference. This course assumes that students have taken a doctoral level sequence of statistics courses and research design, and have experience with multivariate linear regression, logistic regression, and randomized controlled trials and quasi-experimental studies in field (non-laboratory) settings. Prerequisite: Permission of instructor
Offered
Spring of each even year (i.e. Spring 2022, 2024, etc.)