ADVANCED DATA ANALYSIS TECHNIQUES IN HIGHER EDUCATION

Catalog description

Prerequisites: Graduate Student Status, HEA 689 or equivalent. Advanced knowledge of research design and skill development in statistical analysis applied to the generation of new knowledge, as well as the interpretation of existing higher education research. Topics include analysis of variance, correlations, linear and logistic regression, analysis of categorical data, factor analysis, and other data analysis techniques commonly used in higher education research. Offered annually each semester.