EDUC 844 - Intermediate Regression and ANOVA

Credit(s): 3

INTERMEDIATE REGRESSION/ANOVA
Component: Lecture
This is an intermediate applied statistics course focused on linear statistical modeling procedures (e.g., regression, ANOVA) in education research. Topics include model specification of non-parametric procedures, assumptions, post-hoc analyses, interactions, diagnostic and remedial techniques, and data visualization. It emphasizes guidelines for selecting statistical tests, computer-aided computation, and interpretation of results.
Repeatable for Credit: N Allowed Units: 3 Multiple Term Enrollment: N Grading Basis: Student Option
RESTRICTIONS: This doctoral-level course covers ANOVA and Regression at an intermediate level. Students will gain more from this course if they have successfully completed at least one introductory level graduate course (e.g., EDUC856).