Starting in the spring of 2016, EPSY 5610 (Applied Regression Analysis for the Education Sciences) will be offered in both the fall and the spring semesters. EPSY 5610 (or an equivalent course of equal rigor) is recommended as a prerequisite to several courses including Structural Equation Modeling (EPSY6615), Hierarchical Linear Modeling (EPSY6611), Multivariate Analysis (EPSY 5613), Dyadic Analysis (EPSY 6194), and Advanced Casaul Inference (EPSY 6655), among others.
EPSY 5610
Applied Regression Analysis for the Education Sciences
Course Description
The course is designed to provide a comprehensive introduction to regression analysis for students in education, social, and behavioral sciences. The course will provide the background for advanced studies in multivariate analysis, structural equation modeling, and multilevel modeling. Topics covered include model specification, assumptions, interpretation of parameters, and tests of hypotheses; modeling of categorical predictors and experimental designs, including Analysis of Covariance; modeling and interpreting interactions among predictors; assessment of fit and model diagnostics; polynomial models; logistic regression; autoregressive models, with application to quasi-experimental time series and single subject designs; and path analysis.
For more information, contact: Betsy at betsy@uconn.edu