Handbook of Item Response Theory, Volume Two

Drawing on the work of internationally acclaimed experts in the field, this second volume in a three-volume set presents classical and modern statistical tools used in item response theory (IRT). The book covers common probability distributions, the issue of models with both intentional and nuisance parameters, the use of information criteria, methods for dealing with missing data, and model identification issues. It also addresses recent developments in parameter estimation and model fit and comparison, such as Bayesian approaches.