EDP571

039183

An introduction to item response theory (IRT), the leading measurement theory in educational and psychological measurement. IRT is an advanced statistical framework for modeling item response patterns as a function of underlying traits. Topics covered are: Essential concepts and terminology of IRT; the mathematical and theoretical rationale underlying IRT; commonly used statistical models for dichotomous and polytomous item responses, parameter estimation, standard error of measurement; applications of IRT to common assessment problems (linking, differential item functioning, computerized adaptive testing); relevant statistical software. The course includes a series of assignments that focus on carrying out and interpreting basic item and scale calibrations as well as linking or DIF analyses and a final project, but no final examination. This course is designed for graduate students with an interest in measurement, instrument development, and quantitative empirical research.

GRD - Regular Grades A, B, C, D, E

Graduate