Structural Equation Modeling Multiple by Eid Michael (16 results)

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  • Language: English

    Published by The Guilford Press, 2024

    1462555713 / 9781462555710

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  • Language: English

    Published by The Guilford Press, 2024

    1462555713 / 9781462555710

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  • Language: English

    Published by Guilford Publications, 2024

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  • Language: English

    Published by The Guilford Press, 2024

    1462555713 / 9781462555710

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  • Language: English

    Published by The Guilford Press, 2024

    1462555713 / 9781462555710

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  • Language: English

    Published by Guilford Publications, New York, 2024

    1462555713 / 9781462555710

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    Hardcover. Condition: new. Hardcover. The use of multiple raters can improve the validity of conclusions made on self- (and other) reports of emotions, attitudes, goals, and self-perceptions of personality. Yet analyzing these ratings requires special psychometric models that take into account the specific nature of these data. From leading authorities, this book offers the first comprehensive introduction to structural equation modeling (SEM) of multiple rater data. Rather than taking a one-size-fits-all approach, the book shows how the choice of a model should be guided by measurement design and purpose. Practical recommendations are provided for selecting suitable measurement designs, raters, and psychometric models. Models for different combinations of rater types and for cross-sectional as well as longitudinal research designs are described step by step, with a strong emphasis on the substantive meaning of the latent variables in the models. User-friendly features include equation boxes, application boxes, and a companion website with Mplus and lavaan code for the books examples. From leading authorities, this book offers the first comprehensive introduction to structural equation modeling (SEM) of multiple rater data. Rather than taking a one-size-fits-all approach, the book shows how the choice of a model should be guided by measurement design and purpose. Practical recommendations are provided for selecting suitable measurement designs, raters, and psychometric models. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

  • Language: English

    Published by The Guilford Press, 2024

    1462555713 / 9781462555710

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    Condition: New. 1st edition NO-PA16APR2015-KAP.

  • Language: English

    Published by The Guilford Press, 2024

    1462555713 / 9781462555710

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  • Language: English

    Published by The Guilford Press, 2024

    1462555713 / 9781462555710

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  • Language: English

    Published by The Guilford Press, 2024

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  • Language: English

    Published by The Guilford Press, 2024

    1462555713 / 9781462555710

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  • Language: English

    Published by Guilford Pubn, 2024

    1462555713 / 9781462555710

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    Hardcover. Condition: Brand New. 352 pages. 10.00x7.00x10.00 inches. In Stock.

  • Language: English

    Published by Guilford Publications, 2024

    1462555713 / 9781462555710

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  • Language: English

    Published by Guilford Publications, New York, 2024

    1462555713 / 9781462555710

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    Hardcover. Condition: new. Hardcover. The use of multiple raters can improve the validity of conclusions made on self- (and other) reports of emotions, attitudes, goals, and self-perceptions of personality. Yet analyzing these ratings requires special psychometric models that take into account the specific nature of these data. From leading authorities, this book offers the first comprehensive introduction to structural equation modeling (SEM) of multiple rater data. Rather than taking a one-size-fits-all approach, the book shows how the choice of a model should be guided by measurement design and purpose. Practical recommendations are provided for selecting suitable measurement designs, raters, and psychometric models. Models for different combinations of rater types and for cross-sectional as well as longitudinal research designs are described step by step, with a strong emphasis on the substantive meaning of the latent variables in the models. User-friendly features include equation boxes, application boxes, and a companion website with Mplus and lavaan code for the books examples. From leading authorities, this book offers the first comprehensive introduction to structural equation modeling (SEM) of multiple rater data. Rather than taking a one-size-fits-all approach, the book shows how the choice of a model should be guided by measurement design and purpose. Practical recommendations are provided for selecting suitable measurement designs, raters, and psychometric models. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

  • Language: English

    Published by Guilford Publications, 2024

    1462555713 / 9781462555710

    • Hardcover

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    Condition: New. Michael Eid, PhD, is Professor of Methods and Evaluation at the Free University of Berlin in Germany. His research focuses on measurement theory, in particular on the development of psychometric models for longitudinal and multimethod research. Since the.

  • Language: English

    Published by Guilford Publications, New York, 2024

    1462555713 / 9781462555710

    • Hardcover

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    Hardcover. Condition: new. Hardcover. The use of multiple raters can improve the validity of conclusions made on self- (and other) reports of emotions, attitudes, goals, and self-perceptions of personality. Yet analyzing these ratings requires special psychometric models that take into account the specific nature of these data. From leading authorities, this book offers the first comprehensive introduction to structural equation modeling (SEM) of multiple rater data. Rather than taking a one-size-fits-all approach, the book shows how the choice of a model should be guided by measurement design and purpose. Practical recommendations are provided for selecting suitable measurement designs, raters, and psychometric models. Models for different combinations of rater types and for cross-sectional as well as longitudinal research designs are described step by step, with a strong emphasis on the substantive meaning of the latent variables in the models. User-friendly features include equation boxes, application boxes, and a companion website with Mplus and lavaan code for the books examples. From leading authorities, this book offers the first comprehensive introduction to structural equation modeling (SEM) of multiple rater data. Rather than taking a one-size-fits-all approach, the book shows how the choice of a model should be guided by measurement design and purpose. Practical recommendations are provided for selecting suitable measurement designs, raters, and psychometric models. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.