This unit introduces students to advanced principles of Rasch measurement theory in the social sciences. It is a follow-up to EDUC5638 Introduction to Rasch Measurement Theory (formerly EDUC8638 Introduction to Rasch Measurement of Modern Test Theory). Topics include fundamental measurement; elementary discrete probability distribution theory; Dichotomous Rasch Model (review of principles; multiple-choice items and guessing); Polytomous Rasch Model; differential item functioning (DIF); fit of responses to the model (analysis of residuals); violations of the assumption of independence (multidimensionality and response dependence; estimating the degree of dependence); analysis of more than... -- Course Website
Instructor: Winthrop Professor David Andrich and Assistant Professor Ida Marais
Prerequisites: EDUC5638 Introduction to Rasch Measurement Theory (formerly EDUC8638 Introduction to Rasch Measurement of Modern Test Theory)