Description

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 data sets 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.

New to This Edition
*Chapter on multilevel models.
*New material on loglinear models, mixed models, the linear logistic trait model, and fit statistics.
*Many additional worked-through examples.
*Updated guidance on software; now includes R, SAS, and flexMIRT.

The Theory and Practice of Item Response Theory

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Hardback by R. J. de Ayala , Bruno D. Zumbo

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Noted for addressing both the "hows" and "whys" of item response theory (IRT), this text has been revised and updated... Read more

    Publisher: Guilford Publications
    Publication Date: 27/05/2022
    ISBN13: 9781462547753, 978-1462547753
    ISBN10: 1462547753

    Number of Pages: 643

    Non Fiction , Politics, Philosophy & Society

    Description

    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 data sets 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.

    New to This Edition
    *Chapter on multilevel models.
    *New material on loglinear models, mixed models, the linear logistic trait model, and fit statistics.
    *Many additional worked-through examples.
    *Updated guidance on software; now includes R, SAS, and flexMIRT.

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