The Theory and Practice of Item Response Theory

✍ Scribed by R. J. de Ayala

Publisher: The Guilford Press
Year: 2022
Tongue: English
Leaves: 670
Series: Methodology in the Social Sciences
Edition: 2
Category: Library

No coin nor oath required. For personal study only.

✦ Synopsis

Noted for addressing both the "hows" and "whys" of item response theory (IRT), this text has been revised and updated with the latest techniques (multilevel models, mixed models, and more) and software packages. Simple to more complex models are covered in consistently formatted chapters that build sequentially. The book takes the reader from model development through the fit analysis and interpretation phases that would be performed in practice. To facilitate understanding, common datasets are used across chapters, with the examples worked through for increasingly complex models. Exemplary model applications include free (BIGSTEPS, NOHARM, Facets, R packages) and commercial (BILOG-MG, flexMIRT, SAS, WINMIRA, SPSS, SYSTAT) software packages. The companion website provides data files and online-only appendices.

✦ Table of Contents

Dedication
Series Editor’s Note • Todd D. Little
Preface
Contents
Symbols and Acronyms
1 · Introduction to Measurement
2 · The One-Parameter Model
3 · Joint Maximum Likelihood Parameter Estimation
4 · Marginal Maximum Likelihood Parameter Estimation
5 · The Two-Parameter Model
6 · The Three-Parameter Model
7 · Rasch Models for Ordered Polytomous Data
8 · Non-Rasch Models for Ordered Polytomous Data
9 · Models for Nominal Polytomous Data
10 · Models for Multidimensional Data
11 · Linking and Equating
12 · Differential Item Functioning
13 · Multilevel IRT Models
References
Author Index
Subject Index
About the Author

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