Item Response Theory clearly describes the most recently developed IRT models and furnishes detailed explanations of algorithms that can be used to estimate the item or ability parameters under various IRT models. Extensively revised and expanded, this edition offers three new chapters discussing parameter estimation with multiple groups, parameter

chapter 5|48 pages

The Rasch Model

chapter 7|26 pages

Bayesian Parameter Estimation Procedures

chapter 8|30 pages

The Graded Item Response

chapter 9|34 pages

Nominally Scored Items

chapter 10|16 pages

Parameter Estimation for Multiple Group Data

chapter 12|18 pages

Parameter Estimation via Gibbs Sampler

chapter |20 pages

E. Implementing The Bayesian Approach

chapter |10 pages

K. Implementation of Gibbs Sampler