Graduate Statistics Seminar
Ken Fujimoto
UIC
Introduction to Item Response Theory and Differential Item Functioning I
Abstract: I will introduce the basic theory and assumptions of the 1-parameter, 2-parameter, and 3-parameter logistic item response (IRT) models and a Markov chain Monte Carlo algorithm used to estimate the parameters of an IRT model. These measurement models are frequently used to analyze test data, such as the data arising from the GRE, MCAT, GMAT, and ACT tests. IRT models establish a mathematical relationship between a person's ability level and the technical properties of an item (e.g., item difficulty, discrimination level, and/or guessing).
Tuesday April 8, 2014 at 3:30 PM in SEO 636