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Drawing on the work of internationally acclaimed experts in the field, this first volume in a three-volume set presents all major item response models. It covers many model developments that have occurred in the field during the last 20 years.
FORMATHardcover LANGUAGEEnglish CONDITIONBrand New Publisher Description
Drawing on the work of internationally acclaimed experts in the field, Handbook of Item Response Theory, Volume One: Models presents all major item response models. This first volume in a three-volume set covers many model developments that have occurred in item response theory (IRT) during the last 20 years. It describes models for different response formats or response processes, the need of deeper parameterization due to a multilevel or hierarchical structure of the response data, and other extensions and insights.In Volume One, all chapters have a common format with each chapter focusing on one family of models or modeling approach. An introductory section in every chapter includes some history of the model and a motivation of its relevance. Subsequent sections present the model more formally, treat the estimation of its parameters, show how to evaluate its fit to empirical data, illustrate the use of the model through an empirical example, and discuss further applications and remaining research issues.
Author Biography
Wim J. van der Linden is a distinguished scientist and director of research innovation at Pacific Metrics Corporation. He is also a professor emeritus of measurement and data analysis at the University of Twente. He is a past president of the Psychometric Society and National Council on Measurement in Education (NCME) and a recipient of career achievement awards from NCME, Association of Test Publishers (ATP), and American Educational Research Association (AERA). His research interests include test theory, computerized adaptive testing, optimal test assembly, parameter linking, test equating, and response-time modeling as well as decision theory and its application to problems of educational decision making. Dr. van der Linden earned a PhD in psychometrics from the University of Amsterdam.
Table of Contents
Dichotomous Models. Nominal and Ordinal Models. Multidimensional and Multicomponent Models. Models for Response Times. Nonparametric Models. Models for Nonmonotone Items. Hierarchical Response Models. Generalized Modeling Approaches.
Review
"Handbook I is likely to be useful for undergraduate or graduate students who have an interest in pursuing quantitative research in educational and psychological testing, especially with datasets that contain multiple discrete outcomes. Master- and doctoral-level students seeking dissertation topics and doing literature reviews will find Handbook I a valuable resource."~Edward H. Ip, Wake Forest School of Medicine, Journal of the American Statistical Association
Review Quote
"Handbook I is likely to be useful for undergraduate or graduate students who have an interest in pursuing quantitative research in educational and psychological testing, especially with datasets that contain multiple discrete outcomes. Master- and doctoral-level students seeking dissertation topics and doing literature reviews will find Handbook I a valuable resource." ~Edward H. Ip, Wake Forest School of Medicine, Journal of the American Statistical Association
Details ISBN1466514310 Publisher Taylor & Francis Inc Series Chapman & Hall/CRC Statistics in the Social and Behavioral Sciences ISBN-10 1466514310 ISBN-13 9781466514317 Format Hardcover Imprint CRC Press Inc Place of Publication Bosa Roca Country of Publication United States Edited by Wim J. van der Linden Year 2016 DEWEY 150.287 Pages 595 Short Title Handbook of Item Response Theory Language English Series Number 24 Publication Date 2016-08-15 AU Release Date 2016-08-15 NZ Release Date 2016-08-15 US Release Date 2016-08-15 UK Release Date 2016-08-15 Author Wim J. van der Linden Illustrations 69 Tables, black and white; 93 Illustrations, black and white Subtitle Volume 1: Models Alternative 9780367220013 Audience General We've got this
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