Multidimensional item response theory

By:

Bonifay, Wes

Material type: Text

TextSeries: Quantitative Applications in the Social SciencesPublication details: Sage Publications, Inc. California 2020Description: xiii, 138 pISBN:

9781506384252

Subject(s):

DDC classification:

155.284 BON

Summary: Several decades of psychometric research have led to the development of sophisticated models for multidimensional test data, and in recent years, multidimensional item response theory (MIRT) has become a burgeoning topic in psychological and educational measurement. Considered a cutting-edge statistical technique, the methodology underlying MIRT can be complex, and therefore doesn’t receive much attention in introductory IRT courses. However author Wes Bonifay shows how MIRT can be understood and applied by anyone with a firm grounding in unidimensional IRT modeling. His volume includes practical examples and illustrations, along with numerous figures and diagrams. Multidimensional Item Response Theory includes snippets of R code interspersed throughout the text (with the complete R code included on an accompanying website) to guide readers in exploring MIRT models, estimating the model parameters, generating plots, and implementing the various procedures and applications discussed throughout the book.

List(s) this item appears in: Operation & quantitative Techniques

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Item type	Current library	Collection	Call number	Copy number	Status	Date due	Barcode
Book	Indian Institute of Management LRC General Stacks	Operations Management & Quantitative Techniques	155.284 BON (Browse shelf(Opens below))	1	Available		003332

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Table of content

1. Introduction 2. Unidimensional Item Response Theory 3. MIRT Models for Dichotomous Data 4. MIRT Models for Polytomous Data 5. Descriptive MIRT Statistics 6. Item Factor Structures 7. Estimation in MIRT Models 8. MIRT Model Diagnostics and Evaluation 9. MIRT Applications

Several decades of psychometric research have led to the development of sophisticated models for multidimensional test data, and in recent years, multidimensional item response theory (MIRT) has become a burgeoning topic in psychological and educational measurement. Considered a cutting-edge statistical technique, the methodology underlying MIRT can be complex, and therefore doesn’t receive much attention in introductory IRT courses. However author Wes Bonifay shows how MIRT can be understood and applied by anyone with a firm grounding in unidimensional IRT modeling. His volume includes practical examples and illustrations, along with numerous figures and diagrams. Multidimensional Item Response Theory includes snippets of R code interspersed throughout the text (with the complete R code included on an accompanying website) to guide readers in exploring MIRT models, estimating the model parameters, generating plots, and implementing the various procedures and applications discussed throughout the book.

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