Course Descriptions

HS 510A — Applied Design and Analysis

Focuses on the experiment designs in research and the basics of model building in linear or logistic regression. The goal of the design portion of the class will be to recognize the relative strengths of various designs and identify properties with stronger claims of internal validity and causal inference. The regression portion of the class will touch on variable selection, interpreting coefficients, interactions, model fit statics, and determination of best models. Additional analytic topics, including difference-in-difference modeling, moderation and mediation, matching and propensity score methods, will also be covered. Usually offered every year.