Elements of Adaptive Testing

ISBN-13: 9781461425533 / Angielski / Miękka / 2012 / 438 str.

Wim J. Van Der Linden; Cees A. W. Glas

Opis

The arrival of the computer in educational and psychological testing has led to the current popularity of adaptive testing---a testing format in which the computer uses statistical information about the test items to automatically adapt their selection to a real-time update of the test taker's ability estimate. This book covers such key features of adaptive testing as item selection and ability estimation, adaptive testing with multidimensional abilities, sequencing adaptive test batteries, multistage adaptive testing, item-pool design and maintenance, estimation of item and item-family parameters, item and person fit, as well as adaptive mastery and classification testing. It also shows how these features are used in the daily operations of several large-scale adaptive testing programs.

Recenzje

From the reviews:

"Elements of Adaptive Testing is an excellent book on the current state-of-the-art in CAT ... . a highly advanced text, which makes the book most suitable for researchers in the field of adaptive testing. ... Elements of Adaptive Testing covers key features of adaptive testing and addresses many complex design and analysis issues involved, thereby making a crucial read for researchers in any field of CAT." (Usama S. Ali and Peter W. van Rijn, Psychometrika, Vol. 78, 2013)

Spis treści

Item selection and ability estimation in adaptive testing (Wim J. van der Linden and Peter J. PashIey).- Constrained adaptive testing with shadow tests (Wim J. van der Linden).- Principles of multidimensional adaptive testing (Daniel O. Segall).- Multidimensional adaptive testing with Kullback-Liebler information item selection (Wim J. van der Linden and Joris Mulder).- Sequencing an adaptive test battery (Wim J. van der Linden).- Adaptive tests for measuring anxiety and depression (Otto B. Walter).- MATHCAT: A flexible testing system in mathematics education for adults (Alfred J. Verschoor and Gerard J. J. M. Straetmans).- Implementing the Graduate Management admission test computerized adaptive test (Lawrence M. Rudner).- Designing and implementing a multistage adaptive test: The uniform CPA exam (Gerald J. Melican, Krista Breithaupt, and Yanwei Zhang).- A Japanese adaptive test of English as a foreign language: Developmental and operational aspects (Yasuko Nogami and Norio Hayashi).- Innovative items for computerized testing (Cynthia G. Parshall, J. Christine Harmes, Tim Davey, and Peter J. Pashley).- Designing item pools for adaptive testing (Bernard P. Veldkamp and Wim J. van der Linden).- Assembling an inventory of multistage adaptive testing systems (Krista Breithaupt, Adelaide A. Ariel, and Donovan R. Hare).- Item parameter estimation and item fit analysis (Cees A.W. GIas).- Estimation of the parameters in an item-cloning model for adaptive testing (Cees A. W. GIas, Wim J. van der Linden, and Hanneke Geerlings).- Detecting person misfit in adaptive testing using statistical process control techniques (Edith M. L. A. van Krimpen-Stoop and Rob R. Meijer).- The assessment of differential item functioning in computer adaptive tests (Rebecca Zawick).- Multi-stage testing: Issues, designs, and research (April Zenisky, Ronald K.Hambleton, and Richard M. Luecht).- Three-category adaptive classification testing (Theo J.H.M. Eggen).- Testlet-based adaptive mastery testing (Hans J. Vos and Cees A. W. Glas).- Adaptive mastering testing using a multidimensional IRT model (Cees A. W. Glas and Hans J. Vos).

Blurb

The arrival of the computer in educational and psychological testing has led to the current popularity of adaptive testing---a testing format in which the computer uses statistical information about the test items to automatically adapt their selection to a real-time update of the test taker’s ability estimate. This book covers such key features of adaptive testing as item selection and ability estimation, adaptive testing with multidimensional abilities, sequencing adaptive test batteries, multistage adaptive testing, item-pool design and maintenance, estimation of item and item-family parameters, item and person fit, as well as adaptive mastery and classification testing. It also shows how these features are used in the daily operations of several large-scale adaptive testing programs.

Wim J. van der Linden is Chief Research Scientist at CTB/McGraw-Hill, Monterey, CA. His specialization is psychometric theory and methods, and he has been an active researcher of adaptive testing throughout his career. For Springer, he wrote Linear Models for Optimal Test Design (2005) and co-edited Handbook of Modern Item ResponseTheory (1997). He is a past president of the Psychometric Society and recipient of lifetime achievement awards from the National Council for Measurement in Education (NCME) and the Association of Test Publishers (ATP).
Cees A. W. Glas is Professor of Social Science Research Methodology, University of Twente, the Netherlands. His specialization is psychometric theory and methods, with an emphasis on item response theory, adaptive testing, model fit analysis, and missing data. Professor Glas is a co-author of Educational Evaluation, Assessment, and Monitoring (Swets & Zetlinger, 2003). Currently, he is a member of the Editorial Board of Psychometrika and serves as a technical consultant to the OECD programs for international student assessment (PISA) and the assessment of adult competencies (PIAAC).