Multidimensional Item Response Theory / Edition 1

Multidimensional Item Response Theory / Edition 1

by M.D. Reckase
ISBN-10:
1461417147
ISBN-13:
9781461417149
Pub. Date:
12/02/2011
Publisher:
Springer New York
ISBN-10:
1461417147
ISBN-13:
9781461417149
Pub. Date:
12/02/2011
Publisher:
Springer New York
Multidimensional Item Response Theory / Edition 1

Multidimensional Item Response Theory / Edition 1

by M.D. Reckase
$219.99
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Overview

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.


Product Details

ISBN-13: 9781461417149
Publisher: Springer New York
Publication date: 12/02/2011
Series: Statistics for Social and Behavioral Sciences
Edition description: 2009
Pages: 354
Product dimensions: 6.10(w) x 9.10(h) x 0.90(d)

Table of Contents

Unidimensional Item Response Theory Models.- Historical Background for Multidimensional Item Response Theory (MIRT).- Multidimensional Item Response Theory Models.- Statistical Descriptions of Item and Test Functioning.- Estimation of Item and Person Parameters.- Analyzing the Structure of Test Data.- Transforming Parameter Estimates to a Specified Coordinate System.- Linking and Scaling.- Computerized Adaptive Testing Using MIRT.
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