Handbook of Polytomous Item Response Theory Models

Part 1. Development of Polytomous IRT Models. R. Ostini, M. Nering, New Perspectives and Applications. R. Hambleton, W. van der Linden, C. Well, IRT Models for the Analysis of Polytomously-Scored Data: Brief and Selected History of Model Building Advances. D. Thissen, L. Cai, R.D. Bock, The Nominal Categories Item Response Model. F. Samejima, The General Graded Response Model. G. Masters, The Partial Credit Model. D. Andrich, Understanding the Response Structure and Process in the Polytomous Rasch Model. Part 2. Polytomous IRT Model Evaluation. R.D. Bock, R. Gibbons, Factor Analysis of Categorical Item Responses. C.A.W. Glas, Testing Fit to IRT Models for Polytomously Scored Items. Part 3. Application of Polytomous IRT Models. C. Huang, R. Mislevy, An Application of the Polytomous Rasch Model to Mixed Strategies. A. Boyd, B. Dodd, S. Choi, Polytomous Models in Computerized Adaptive Testing. S. Kim, D. Harris, M. Kolen, Equating with Polytomous Item Response Models.

Biography

Michael L. Nering is the Director of the Psychometrics Department at Measured Progress, Inc. He received his Ph.D. in Psychology at the University of Minnesota in 1996. His research interests include person fit, computer-based assessment, equating and item response theory. He has published research in such journals as Applied Psychological Measurement, Measurement and Evaluation in Counseling and Development, Journal of Educational Measurement, and Educational and Psychological Measurement.

Remo Ostini is a Research Fellow in the Healthy Communities Research Centre at the University of Queensland in Australia. He received his Ph.D. in Psychology from the University of Minnesota in 2001. His research interests include health literacy motivation, personality and attitude measurement, and the psychology of morality. He has published research in such journals as the Journal of Medical Ethics, Pharmacoepidemiology and Drug Safety, and the Annals of Pharmacotherapy.

"I am excited to share this book with graduate students and fellow IRT researchers. ... There is a lot of rich information in here that helps even seasoned IRT researchers develop a greater appreciation and understanding. ... It is one of the most useful measurement-related edited volumes that I have read and I will be referring to this book for years to come." - Michael Zickar, Bowling Green State University, USA, in The American Statistician

"This really is a ‘must read’ for measurement students and specialists alike. An outstanding group of authors explain the models, clarify misconceptions, and offer new historical material, methods for evaluating model fit, and innovative applications." - Edward Haertel, Stanford University, USA

"It will likely become a standard reference on polytomous IRT analyses …I would definitely buy it and recommend it. I would most likely use it for an advanced IRT course." - Mark D. Reckase, Michigan State University, USA

" I expect this book will quickly become a seminal resource for researchers and practitioners… it will … have a large impact on the measurement community... Nering and Ostini have put together a very impressive group of experts in the area of polytomous IRT modeling. … This book fills a big gap … I would certainly purchase the book and use it in teaching my advanced IRT classes." - Terry Ackerman, University of North Carolina, Greensboro, USA

"An outstanding collection of original chapters by the principal developers of polytomous IRT models, supplemented by important contributions on model evaluation and example applications. This book will be a standard reference on these models for years to come." - David J. Weiss, Professor of Psychology, University of Minnesota, USA