JCAT is a peer-reviewed electronic journal designed to advance the science and practice of computerized adaptive testing (CAT) by publishing empirical research reports, theoretical papers, and integrative critical reviews on topics directly related to CAT (e.g., item selection algorithms, security algorithms, multistage designs, examinee reactions to CAT, DIF in CAT, item bank development, the psychometrics of CAT) and on important ancillary topics (e.g., innovative item types, assessment engineering, psychometric models, issues surrounding the technology of adaptive testing, or validity studies).
JCAT is the official journal of the International Association for Computerized Adaptive Testing.
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Editor
David J. Weiss, University of Minnesota, U.S.A.
Associate Editors
G. Gage Kingsbury, Psychometric Consultant, U.S.A
Bernard P. Veldkamp, University of Twente, The Netherlands
Consulting Editors
John Barnard, EPEC, Australia
Juan Ramón Barrada, Universidad de Zaragoza, Spain
Kirk A. Becker, Pearson VUE, U.S.A.
Barbara G. Dodd, University of Texas at Austin, U.S.A.
Theo Eggen, Cito and University of Twente, The Netherlands
Andreas Frey, Friedrich Schiller University Jena, Germany
Kyung T. Han, Graduate Management Admission Council, U.S.A.
Wim J. van der Linden, CTB/McGraw-Hill, U.S.A.
Alan D. Mead, Illinois Institute of Technology, U.S.A.
Mark D. Reckase, Michigan State University, U.S.A.
Barth Riley, University of Illinois at Chicago, U.S.A.
Otto B. Walter, University of Bielefeld, Germany
Wen-Chung Wang, The Hong Kong Institute of Education
Steven L. Wise, Northwest Evaluation Association, U.S.A.
ISSN: 2165-6592