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Multidimensional Item Response Theory

Multidimensional Item Response Theory
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Field name Details
Dewey Class 519.5
Title Multidimensional Item Response Theory (EB) / by M.D. Reckase.
Author Reckase, Mark D.
Other name(s) SpringerLink (Online service)
Publication New York, NY : Springer , 2009.
Physical Details : online resource.
Series Statistics for Social and Behavioral Sciences
ISBN 9780387899763
Summary Note Multidimensional Item Response Theory is the first book to give thorough coverage to this emerging area of psychometrics. The book describes the commonly used multidimensional item response theory (MIRT) models and the important methods needed for their practical application. These methods include ways to determine the number of dimensions required to adequately model data, procedures for estimating model parameters, ways to define the space for a MIRT model, and procedures for transforming calibrations from different samples to put them in the same space. A full chapter is devoted to methods for multidimensional computerized adaptive testing. The text is appropriate for an advanced course in psychometric theory or as a reference work for those interested in applying MIRT methodology. A working knowledge of unidimensional item response theory and matrix algebra is assumed. Knowledge of factor analysis is also helpful. Mark D. Reckase is a professor of Measurement and Quantitative Methods in the College of Education at Michigan State University. He has been president of the National Council of Measurement in Education, Vice President of Division D of the American Educational Research Association, on the Board of Trustees of the Psychometric Society, and the editor of Applied Psychological Measurement and the Journal of Educational Measurement. He has been doing research in the area of MIRT since 1972.:
Contents note Introduction -- Historical and intellectual underpinnings of multidimensional item response theory -- Basic background in item response theory -- Extension of item response theory to the multidimensional case -- Estimation of item and person parameters -- Linking of calibrations -- Multidimensional models for computerized adaptive tests -- Other applications of multidimensional item response theory -- Future directions for multidimensional item response theory.
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