LEAD 873 - Doctoral Statistics II

3 Credit Hours
This course is intended for doctoral students who require a working knowledge of advanced statistical methods used in behavioral and social science research. The course covers (1) multivariate analysis of variance, (2) multiple regression, (3) exploratory and confirmatory factor analysis, (4) structural equation modeling, (5) path analysis, (6) cluster analysis, and (7) metaanalysis.Strategies for computing power and estimating sample sizes will be covered. Emphasis is on the mastering the operation intricacies of data transformation, computation and interpretation of results. required onceptual understanding of statistics within the context of research and the interpretation of statistical results. Calculators are required.

Prerequisites: LEAD870 and LEAD871

Restrictions: Must be enrolled in one of the following Majors: Leadership Studies

Levels: Graduate

College of Professional Sci Leadership Studies & HRD