Multidimensional Item Response Theory: Quantitative Applications in the Social Sciences, cartea 183
Autor Wes Bonifayen Limba Engleză Paperback – 6 mai 2020
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Specificații
ISBN-13: 9781506384252
ISBN-10: 1506384250
Pagini: 152
Dimensiuni: 140 x 216 x 12 mm
Greutate: 0.14 kg
Ediția:1
Editura: SAGE Publications
Colecția Sage Publications, Inc
Seria Quantitative Applications in the Social Sciences
Locul publicării:Thousand Oaks, United States
ISBN-10: 1506384250
Pagini: 152
Dimensiuni: 140 x 216 x 12 mm
Greutate: 0.14 kg
Ediția:1
Editura: SAGE Publications
Colecția Sage Publications, Inc
Seria Quantitative Applications in the Social Sciences
Locul publicării:Thousand Oaks, United States
Recenzii
Multidimensional IRT in a clear, accessible, and compelling writing style.
Cuprins
Series Editor's Introduction
Acknowledgments
About the Author
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
References
Acknowledgments
About the Author
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
References
Descriere
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. Brief snippets of R code are 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.