Multidimensional Item Response Theory

  • M.D.┬áReckase
Part of the Statistics for Social and Behavioral Sciences book series (SSBS)

Table of contents

  1. Front Matter
    Pages i-ix
  2. Mark D. Reckase
    Pages 1-10
  3. Mark D. Reckase
    Pages 11-55
  4. Mark D. Reckase
    Pages 79-112
  5. Mark D. Reckase
    Pages 137-178
  6. Mark D. Reckase
    Pages 179-231
  7. Mark D. Reckase
    Pages 275-310
  8. Mark D. Reckase
    Pages 311-339
  9. Back Matter
    Pages 341-353

About this book

Introduction

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.

Keywords

Factor Analysis methodology model psychometrics

Authors and affiliations

  • M.D.┬áReckase
  1. 1.Michigan State UniversityEast LansingU.S.A.

Bibliographic information

  • DOI https://doi.org/10.1007/978-0-387-89976-3
  • Copyright Information Springer-Verlag New York 2009
  • Publisher Name Springer, New York, NY
  • eBook Packages Mathematics and Statistics
  • Print ISBN 978-0-387-89975-6
  • Online ISBN 978-0-387-89976-3