●Contents for Statistical ToolsContents for ApplicationsPrefaceContributors 1. Introduction Wire J. van der LindenSection Ⅰ Dichotomous Models 2. Unidimensional Logistic Response Models Wire J. van der Linden 3. Rasch Model Matthias von DavierSection Ⅱ Nominal and Ordinal Models 4. Nominal Categories Models David Thissen and Li Cai 5. Rasch Rating-Scale Model David Andrich 6. Graded Response Models Fumiko Samejima 7. Partial Credit Model Geoff N. Masters 8. Generalized Partial Credit Model Eiji raki and Mari raki 9. Sequential Models for Ordered Responses Gerhard Tutz 10. Models for Continuous Responses Gideon J. MellenberghSection Ⅲ ltidimensional and lticomponent Models 11. Normal-Ogive ltidimensional Models Hariharan Swaminathan and H. Jane Rogers 12. Logistic ltidimensional Models Mark D. Reckase 13. Linear Logistic Models Rianne Janssen 14. lticomponent Models Susan E. EmbretsonSection Ⅳ Models for Response Times 15. Poisson and Gamma Models for Reading Speed and Error Margo G. H. Jansen 16. Lognormal Response-Time Model Wire J. van der Linden 17. Diffusion-Based Response-Time Models Francis Tuerlinckx, Dylan Molenaar, and Han L. J. van der MaasSection Ⅴ Nonparametric Models 18. Mokken Models Klaas Sijtsma and Ivo W. Molenaar 19. Bayesian Nonparametric Response Models George Karabatsos 20. Functional Approaches to Modeling Response Data James O. RamsaySection Ⅵ Models for Nonmonotone Items