Apr 14, 2021  
2019-2020 University Catalog 
    
2019-2020 University Catalog [ARCHIVED CATALOG]

PS 723 - Graduate Statistics and Experimental Design I


Designed as a first course in graduate-level statistics for students in psychology, health policy, the behavioral sciences, the health sciences, the biological sciences, and pharmacy. Assumes that students have completed an introductory statistics course and already have knowledge of correlation, and t- and Chi-square tests. Provides in-depth coverage of regression analysis and the general linear model. Addresses simple linear regression, partial and semi-partial correlation analysis, multiple regression analysis, pre- and post-test diagnostics, stepwise models, hierarchical regression analysis, path analysis, dummy coding, coding schemes for experimental data, and logistic regression.
 

Prerequisites & Notes
(Prerequisites: SS 221 and SS 222, or equivalents, and permission of instructor)

Credits: 3