Multidimensional Item Response Theory (Statistics for Social and Behavioral Sciences) - Softcover

Reckase, M.D.

Softcover

ISBN 10: 1461417147 ISBN 13: 9781461417149

Publisher: Springer, 2011

Synopsis

This book is a description of the theoretical foundations of multidimensional item response theory and the methodologies for applying multidimensional item response theory to practical testing problems.

About this title

From the Back Cover

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.

Edition details

• Publisher: Springer
• Publication date: 2011
• Language: English
• ISBN 10: 1461417147
• ISBN 13: 9781461417149
• Binding: Paperback
• Number of pages: 364