Will appeal to researchers and advanced students in social and behavioral sciences including social, developmental, organizational, political, clinical and health psychologists, educational and marketing researchers, and economists who collect group data and interest level.

Contents: Preface. L.A. van der Ark, M.A. Croon, K. Sijtsma, Statistical Models for Categorical Variables. J.A. Hagenaars, Misclassification Phenomena in Categorical Data Analysis: Regression Toward the Mean and Tendency Toward the Mode. J.K. Vermunt, J. Magidson, Factor Analysis With Categorical Indicators: A Comparison Between Traditional and Latent Class Approaches. O. Laudy, J. Boom, H. Hoijtink, Bayesian Computational Methods for Inequality Constrained Latent Class Analysis. W.P. Bergsma, M.A. Croon, Analyzing Categorical Data by Marginal Models. I. Moustaki, M. Knott, Computational Aspects of the E-M and Bayesian Estimation in Latent Variable Models. P.W. van Rijn, P.C.M. Molenaar, Logistic Models for Single-Subject Time Series. L.A. van der Ark, K. Sijtsma, The Effect of Missing Data Imputation on Mokken Scale Analysis. H. Kelderman, Building IRT Models From Scratch: Graphical Models, Exchangeability, Marginal Freedom, Scale Types, and Latent Traits. T.M. Bechger, G. Maris, H.H.F.M. Verstralen, N.D. Verhelst, The Nedelsky Model For Multiple-Choice Items. K. Draney, M. Wilson, Application of the Polytomous Saltus Model to Stage-Like Proportional Reasoning Data. J-P. Fox, Multilevel IRT Model Assessment.