Course Description
Application of generalizability theory to educational problems; emphasis on conducting and interpreting computer analyses and critiquing the research literature using generalizability theory; and use of generalizability for evaluating performance assessments.
Athena Title
GENERALIZABI THEORY
Prerequisite
ERSH 8610
Semester Course Offered
Not offered on a regular basis.
Grading System
A - F (Traditional)
Course Objectives
There are two interrelated objectives of the course. Students are: 1. To attain the necessary background to read and comprehend research based on generalizability theory. 2. To design a generalizability study including (a) set up, run and interpret computer analyses, and (b) report the results in terms of a written paper in the APA-style.
Topical Outline
Course Introduction Practical Issues General Introduction to Generalizability Theory Prestructured Measurement Designs Statistical vs. Psychometric Inference Ordinary Analysis of Variance (ANOVA) vs. Measurement ANOVA Basic Concepts of Generalizability Theory Single-Facet Universes and Designs G-Study and D-Study GENOVA Program Summary of Single-Facet Study Multifacet Universes of Aadmissible Observations and G-study Designs Sources of Variation in Multi-Facet Design Multifacet Universes and G-Study Designs Expected Mean Squares Negative Estimates of Variance Components Different Applications Different Objects of Measurements Gerneralizability of Class means Varieance Components and Their Standard Errors Multivariate Generalizability Theory and Analysis Validity Issues