Course Description
Extends the measurement topics introduced in Rasch Measurement Theory to rating scales. This course specifically addresses the modeling of rating scale data scored in ordered categories, such as Likert scales. Problems encountered in rater-mediated assessments (e.g., writing) that require judgments are also examined.
Athena Title
Rasch Measurement Rating
Prerequisite
ERSH 8610
Semester Course Offered
Offered spring
Grading System
A - F (Traditional)
Course Objectives
1. Students will explore Rasch measurement theory for modeling polytomous data (rating scales). 2. Students will develop an historical and philosophical perspective on the test-score and scaling traditions in measurement for rating scales and rater-mediated assessments. 3. Students will understand the distinctive philosophy of measurement (invariant measurement) underlying Rasch measurement theory. 4. Students will learn to apply Rasch measurement theory to solve practical problems encountered in a variety of settings related to rating scales and raters.
Topical Outline
1. Introduction and overview - What is Rasch measurement theory? - How is Rasch measurement theory related to other measurement models in the human sciences? 2. Rasch models for rating scales - Polytomous Rasch models - Partial credit model - Rating scale model - Many facet model 3. Methods of estimation for the polytomous Rasch models - Methods of estimation - Non-iterative estimation methods - Iterative estimation methods 4. Model-Data fit for the polytomous Rasch models - Conceptual framework for model-data fit based on residual analyses 5. Solving measurement problems with the Rasch model (polytomous data) - Rating scale design - Rater-mediated assessments - Standard setting - Differential rater functioning