EMR 6650 - Data Analytics II: Correlation Studies

This course presents a continuation in the study of the principles of data analytics appropriate for correlation and related research designs. The general linear model serves as the over-riding analytical model. Advanced skills in design and analysis are developed through examination of design issues common in educational, social science and health science settings. Design tools covered will include experimental, quasi-experimental, cross-sectional, and correlational designs. Analytics topics covered will include ANOVA for unbalanced designs, ANCOVA, stratified analysis, multiple and logistic regression. All topics will be taught from an applied perspective that will include statistical computing and interpretation of statistical output. Some prior skills in the use of computer programs for data analysis are required.

Note: Open to graduate students only.

Prerequisites/Corequisites: Prerequisite: EMR 6450 with grade a B of or better or the faculty member teaching the course must approve any prerequisite exception.

Credits: 3 hours