9781462544646 - Handbook of Structural Equation Modeling, Second Edition (26 resultados)

Hardcover. Condición: Very Good. Second. It's a well-cared-for item that has seen limited use. The item may show minor signs of wear. All the text is legible, with all pages included. It may have slight markings and/or highlighting.

Condición: New.

HRD. Condición: New. New Book. Shipped from UK. Established seller since 2000.

Condición: New.

HRD. Condición: New. New Book. Shipped from UK. Established seller since 2000.

Condición: As New. Unread book in perfect condition.

Condición: New. pp. 785 2nd Edition NO-PA16APR2015-KAP.

Hardcover. Condición: New.

Condición: As New. Unread book in perfect condition.

Condición: New. pp. 785.

Condición: New. In.

Condición: NEW.

Hardcover. Condición: new. Hardcover. The definitive one-stop resource on structural equation modeling (SEM) from leading methodologists is now in a significantly revised second edition. Twenty-three new chapters cover model selection, bifactor models, item parceling, multitraitmultimethod models, exploratory SEM, mixture models, SEM with small samples, and more. The book moves from fundamental SEM topics (causality, visualization, assumptions, estimation, model fit, and managing missing data); to major model types focused on unobserved causes of covariance between observed variables; to more complex, specialized applications. Each chapter provides conceptually oriented descriptions, fully explicated analyses, and engaging examples that reveal modeling possibilities for use with the reader's data. The expanded companion website presents full data sets, code, and output for many of the chapters, as well as bonus selected chapters from the prior edition. New to This Edition *Chapters on additional topics not mentioned above: SEM-based meta-analysis, dynamic SEM, machine-learning approaches, and more. *Chapters include computer code associated with example analyses (in Mplus and/or the R package lavaan), along with written descriptions of results. *60% new material reflects a decade's worth of developments in the mechanics and application of SEM. *Many new contributors and fully rewritten chapters. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Condición: New. 2023. 2nd Edition. Hardcover. . . . . .

Hardback. Condición: New. The definitive one-stop resource on structural equation modeling (SEM) from leading methodologists is now in a significantly revised second edition. Twenty-three new chapters cover model selection, bifactor models, item parceling, multitrait-multimethod models, exploratory SEM, mixture models, SEM with small samples, and more. The book moves from fundamental SEM topics (causality, visualization, assumptions, estimation, model fit, and managing missing data); to major model types focused on unobserved causes of covariance between observed variables; to more complex, specialized applications. Each chapter provides conceptually oriented descriptions, fully explicated analyses, and engaging examples that reveal modeling possibilities for use with the reader's data. The expanded companion website presents full data sets, code, and output for many of the chapters, as well as bonus selected chapters from the prior edition. New to This Edition *Chapters on additional topics not mentioned above: SEM-based meta-analysis, dynamic SEM, machine-learning approaches, and more. *Chapters include computer code associated with example analyses (in Mplus and/or the R package lavaan), along with written descriptions of results. *60% new material reflects a decade's worth of developments in the mechanics and application of SEM. *Many new contributors and fully rewritten chapters.

Hardcover. Condición: Brand New. 2nd edition. 842 pages. 9.25x7.50x1.75 inches. In Stock.

Hardback. Condición: New. The definitive one-stop resource on structural equation modeling (SEM) from leading methodologists is now in a significantly revised second edition. Twenty-three new chapters cover model selection, bifactor models, item parceling, multitrait-multimethod models, exploratory SEM, mixture models, SEM with small samples, and more. The book moves from fundamental SEM topics (causality, visualization, assumptions, estimation, model fit, and managing missing data); to major model types focused on unobserved causes of covariance between observed variables; to more complex, specialized applications. Each chapter provides conceptually oriented descriptions, fully explicated analyses, and engaging examples that reveal modeling possibilities for use with the reader's data. The expanded companion website presents full data sets, code, and output for many of the chapters, as well as bonus selected chapters from the prior edition. New to This Edition *Chapters on additional topics not mentioned above: SEM-based meta-analysis, dynamic SEM, machine-learning approaches, and more. *Chapters include computer code associated with example analyses (in Mplus and/or the R package lavaan), along with written descriptions of results. *60% new material reflects a decade's worth of developments in the mechanics and application of SEM. *Many new contributors and fully rewritten chapters.

Hardcover. Condición: new. Hardcover. The definitive one-stop resource on structural equation modeling (SEM) from leading methodologists is now in a significantly revised second edition. Twenty-three new chapters cover model selection, bifactor models, item parceling, multitraitmultimethod models, exploratory SEM, mixture models, SEM with small samples, and more. The book moves from fundamental SEM topics (causality, visualization, assumptions, estimation, model fit, and managing missing data); to major model types focused on unobserved causes of covariance between observed variables; to more complex, specialized applications. Each chapter provides conceptually oriented descriptions, fully explicated analyses, and engaging examples that reveal modeling possibilities for use with the reader's data. The expanded companion website presents full data sets, code, and output for many of the chapters, as well as bonus selected chapters from the prior edition. New to This Edition *Chapters on additional topics not mentioned above: SEM-based meta-analysis, dynamic SEM, machine-learning approaches, and more. *Chapters include computer code associated with example analyses (in Mplus and/or the R package lavaan), along with written descriptions of results. *60% new material reflects a decade's worth of developments in the mechanics and application of SEM. *Many new contributors and fully rewritten chapters. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Condición: New. Rick H. Hoyle, PhD, is Professor of Psychology and Neuroscience and Director of the Center for the Study of Adolescent Risk and Resilience at Duke University. He is a Fellow of the Association for Psychological Science, the American Psychological Associatio.

Condición: New. 2023. 2nd Edition. Hardcover. . . . . . Books ship from the US and Ireland.

Hardback. Condición: New. The definitive one-stop resource on structural equation modeling (SEM) from leading methodologists is now in a significantly revised second edition. Twenty-three new chapters cover model selection, bifactor models, item parceling, multitrait-multimethod models, exploratory SEM, mixture models, SEM with small samples, and more. The book moves from fundamental SEM topics (causality, visualization, assumptions, estimation, model fit, and managing missing data); to major model types focused on unobserved causes of covariance between observed variables; to more complex, specialized applications. Each chapter provides conceptually oriented descriptions, fully explicated analyses, and engaging examples that reveal modeling possibilities for use with the reader's data. The expanded companion website presents full data sets, code, and output for many of the chapters, as well as bonus selected chapters from the prior edition. New to This Edition *Chapters on additional topics not mentioned above: SEM-based meta-analysis, dynamic SEM, machine-learning approaches, and more. *Chapters include computer code associated with example analyses (in Mplus and/or the R package lavaan), along with written descriptions of results. *60% new material reflects a decade's worth of developments in the mechanics and application of SEM. *Many new contributors and fully rewritten chapters.

Buch. Condición: Neu. Neuware - The definitive one-stop resource on structural equation modeling (SEM) from leading methodologists is now in a significantly revised second edition. Twenty-three new chapters cover model selection, bifactor models, item parceling, multitrait-multimethod models, exploratory SEM, mixture models, SEM with small samples, and more. The book moves from fundamental SEM topics (causality, visualization, assumptions, estimation, model fit, and managing missing data); to major model types focused on unobserved causes of covariance between observed variables; to more complex, specialized applications. Each chapter provides conceptually oriented descriptions, fully explicated analyses, and engaging examples that reveal modeling possibilities for use with the reader's data. The expanded companion website presents full data sets, code, and output for many of the chapters, as well as bonus selected chapters from the prior edition. New to This Edition \*Chapters on additional topics not mentioned above: SEM-based meta-analysis, dynamic SEM, machine-learning approaches, and more. \*Chapters include computer code associated with example analyses (in Mplus and/or the R package lavaan), along with written descriptions of results. \*60% new material reflects a decade's worth of developments in the mechanics and application of SEM. \*Many new contributors and fully rewritten chapters.

Buch. Condición: Neu. Handbook of Structural Equation Modeling, Second Edition | Rick H. Hoyle | Buch | Einband - fest (Hardcover) | Englisch | 2023 | Guilford Publications | EAN 9781462544646 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu.

Hardback. Condición: New. The definitive one-stop resource on structural equation modeling (SEM) from leading methodologists is now in a significantly revised second edition. Twenty-three new chapters cover model selection, bifactor models, item parceling, multitrait-multimethod models, exploratory SEM, mixture models, SEM with small samples, and more. The book moves from fundamental SEM topics (causality, visualization, assumptions, estimation, model fit, and managing missing data); to major model types focused on unobserved causes of covariance between observed variables; to more complex, specialized applications. Each chapter provides conceptually oriented descriptions, fully explicated analyses, and engaging examples that reveal modeling possibilities for use with the reader's data. The expanded companion website presents full data sets, code, and output for many of the chapters, as well as bonus selected chapters from the prior edition. New to This Edition *Chapters on additional topics not mentioned above: SEM-based meta-analysis, dynamic SEM, machine-learning approaches, and more. *Chapters include computer code associated with example analyses (in Mplus and/or the R package lavaan), along with written descriptions of results. *60% new material reflects a decade's worth of developments in the mechanics and application of SEM. *Many new contributors and fully rewritten chapters.

Hardcover. Condición: new. Hardcover. The definitive one-stop resource on structural equation modeling (SEM) from leading methodologists is now in a significantly revised second edition. Twenty-three new chapters cover model selection, bifactor models, item parceling, multitraitmultimethod models, exploratory SEM, mixture models, SEM with small samples, and more. The book moves from fundamental SEM topics (causality, visualization, assumptions, estimation, model fit, and managing missing data); to major model types focused on unobserved causes of covariance between observed variables; to more complex, specialized applications. Each chapter provides conceptually oriented descriptions, fully explicated analyses, and engaging examples that reveal modeling possibilities for use with the reader's data. The expanded companion website presents full data sets, code, and output for many of the chapters, as well as bonus selected chapters from the prior edition. New to This Edition *Chapters on additional topics not mentioned above: SEM-based meta-analysis, dynamic SEM, machine-learning approaches, and more. *Chapters include computer code associated with example analyses (in Mplus and/or the R package lavaan), along with written descriptions of results. *60% new material reflects a decade's worth of developments in the mechanics and application of SEM. *Many new contributors and fully rewritten chapters. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

Condición: New. pp. 785 This item is printed on demand.