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Sep 07, 2024
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2021-2022 Graduate Catalog [ARCHIVED CATALOG]
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EDUC 844 - Intermediate Regression and ANOVACredit(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).
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