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M.D. Reckase (2009) Multidimensional Item Response Theory (Statistics for Social and Behavioral Sciences). New York: Springer. 354 pages. US$79.95. ISBN: 978-0387899756

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M.D. Reckase (2009) Multidimensional Item Response Theory (Statistics for Social and Behavioral Sciences). New York: Springer. 354 pages. US$79.95. ISBN: 978-0387899756

Published online by Cambridge University Press:  01 January 2025

Hua-Hua Chang  and
Chun Wang
Hua-Hua Chang
Affiliation:
University of Illinois at Urbana-Champaign
Chun Wang
Affiliation:
University of Illinois at Urbana-Champaign
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Abstract

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Type
Book Review
Information
Psychometrika , Volume 76 , Issue 3 , July 2011 , pp. 504 - 506
Copyright
Copyright © 2011 The Psychometric Society

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References

Mulder, J., van der Linden, W.J. (2009). Multidimensional adaptive testing with optimal design criterion for item selection. Psychometrika, 74, 273–296.CrossRefGoogle ScholarPubMed
Roussos, L., Stout, W. (1996). A multidimensionality-based DIF analysis paradigm. Applied Psychological Measurement, 20(4), 355–371.CrossRefGoogle Scholar
Wang, C., & Chang, H.H. (2011, in press). Item selection in multidimensional computerized adaptive testing—gaining information from different angles. Psychometrika.CrossRefGoogle Scholar
Wang, C., Chang, H.H., Boughton, K.A. (2011). Kullback–Leibler information and its applications in multi-dimensional adaptive testing. Psychometrika, 76(1), 13–39.CrossRefGoogle Scholar