Multidimensional item response theory
Material type:
TextSeries: Quantitative Applications in the Social SciencesPublication details: California Sage Publications, Inc. 2020 Description: xiii, 138 pISBN: 9781506384252Subject(s): Psychometrics | Projective techniques | Item response theory | Multidimensional scaling | Educational tests and measurementsDDC classification: 155.284 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.
| Item type | Current library | Collection | Call number | Copy number | Status | Date due | Barcode |
|---|---|---|---|---|---|---|---|
Book
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Indian Institute of Management LRC General Stacks | Operations Management & Quantitative Techniques | 155.284 BON (Browse shelf(Opens below)) | 1 | Available | 003332 |
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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