EMR 6650 - General Linear Models

A continuation of the study of the principles of research design and data analysis techniques concentrating on the general linear model as an over-riding analytical model. Advanced skills in design and analysis are developed in addition to an examination of design issues in educational settings. Skills in the use of computer programs for data analysis are required. Design topics covered will include experimental, quasi-experimental, cross-sectional, and correlational designs. Analytic topics covered will include ANOVA for unbalanced designs, ANCOVA, stratified analysis, and multiple regression. All topics will be taught from an applied perspective which will include statistical computing using a mainframe or PC environment and interpretation of statistical output.

Prerequisites/Corequisites: Prerequisite: EMR 6550.

Credits: 3 hrs.

Notes: Open to Graduate Students Only.