Course Detail
1.0 - 6.0
Course Components:
In this course students would be exposed to several advanced analysis methods for field and lab studies. Unlike conventional experiment analysis courses, the nature of this course is very applied and is organized in sequential topics according to how behavioral studies are designed, conducted and analyzed in social sciences. The topics that will be covered are: relevance/irrelevance of Null Hypothesis Significance Testing, Power Analysis, Robust Estimation, outlier detection in univariate and multivariate datasets, Difference-In-Differences estimation, Regression Discontinuity, Bayesian methods for experimental analysis, Nonparametric methods, Bootstrapping, Effect size calculation for a wide variety of research problems.