LEAD 621 Statistical Methods for Social Science Research: Design and Analysis

Prerequisites: LEAD 601 and LEAD 620.  This course presents an overview of social science research and presents the most popular quantitative data analytical techniques. Covers topics include analysis of variance, analysis of covariance, discriminant analysis, multiple regression, factorial analysis, and correlational analysis. Remedies for validity threats such as multicollinearity and heteroscedasticity, are addressed.

Credits

3.0

Offered

Spring Semester