Program
Course Title: Linear Regression Analysis
Lead Faculty: Yu Xie
Course description:This would be the second course in the statistics sequence required for a doctoral degree in a top US sociology program. The course begins with linear algebra and reviews linear regression in matrices. At the core of the course are linear regression and its applications in social science research. A few special topics cover path analysis, the analysis of longitudinal data, and logit analysis for binary dependent variables. Students are required to conduct statistical analyses of real data sets using STATA. Evaluation is based on six exercises, two exams, and a final project.
Course Title: Hierarchical Linear Model
Lead Faculty: Stephen Raudenbush
Course description:Applied statistics at the level of multiple regression (e.g., ED795) is required; prior experience with hierarchical models or an advanced course in linear models useful.>>