BIBLIOTECA MANUEL BELGRANO - Facultad de Ciencias Económicas - UNC

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Handbook of structural equation modeling / Edited by Rick H. Hoyle.

Colaborador(es): Tipo de material: TextoTextoDetalles de publicación: New York, N.Y. : The Guilford Press, 2012Descripción: xi, 740 p. : ilISBN:
  • 9781606230770
Tema(s): Clasificación CDD:
  • 21 300.015195
Contenidos:
Part I. Background. Introduction and overview / Rick H. Hoyle -- Key advances in the history of structural equation modeling / Ross L. Matsueda ; Graphical representation of structural equation models using path diagrams / Moon-ho Ringo Ho, Stephen Stark, and Olexander Chernyshenko ; Latent variables in structural equation modeling / Kenneth A. Bollen and Rick H. Hoyle ; The causal foundations of structural equation modeling / Judea Pearl ; Simulation methods in structural equation modeling / Deborah L. Bandalos and Phillip Gagné -- Part II. Fundamentals. Assumptions in structural equation modeling / Rex B. Kline ; Model specification in structural equation modeling / Rick H. Hoyle ; Identification : a nontechnical discussion of a technical issue / David A. Kenny and Stephanie Milan ; Estimation in structural equation modeling / Pui-Wa Lei and Qiong Wu ; Power analysis for tests of structural equation models / Taehun Lee, Li Cai, and Robert C. MacCallum ; Categorical data in the structural equation modeling framework / Michael C. Edwards, R.J. Wirth, Carrie R. Houts, and Nuo Xi ; Model fit and model selection in structural equation modeling / Stephen G. West, Aaron B. Taylor, and Wei Wu ; Model modification in structural equation modeling / Chih-Ping Chou and Jimi Huh ; Equivalent models : concepts, problems, alternatives / Larry J. Williams -- Part III. Implementation. Preparing data for structural equation modeling : doing your homework / Patrick S. Malone and Jill B. Lubansky ; Structural equation modeling with missing data / John W. Graham and Donna L. Coffman ; Bootstrapping standard errors and data-model fit statistics in structural equation modeling / Gregory R. Hancock and Min Liu ; Choosing structural equation modeling computer software: snapshots of LISREL, EQS, Amos, and Mplus / Barbara M. Byrne ; Structural equation modeling in R with the sem and OpenMx packages / John Fox, Jarrett E. Byrnes, Steven Boker, and Michael C. Neale ; The structural equation modeling research report / Anne Boomsma, Rick H. Hoyle, and Abigail T. Panter.
Resumen: The first comprehensive structural equation modeling (SEM) handbook, this accessible volume presents both the mechanics of SEM and specific SEM strategies and applications. The editor, along with an international group of contributors, and editorial advisory board are leading methodologists who have organized the book to move from simpler material to more statistically complex modeling approaches. Sections cover the foundations of SEM; statistical underpinnings, from assumptions to model modifications; steps in implementation, from data preparation through writing the SEM report; and basic and advanced applications, including new and emerging topics in SEM. Each chapter provides conceptually oriented descriptions, fully explicated analyses, and engaging examples that reveal modeling possibilities for use with readers' data. Many of the chapters also include access to data and syntax files at the companion website, allowing readers to try their hands at reproducing the authors' results.
Existencias
Tipo de ítem Biblioteca actual Signatura Estado Fecha de vencimiento Código de barras
Libro Libro Biblioteca Manuel Belgrano 330.015195 H 55965 (Navegar estantería(Abre debajo)) Disponible 55965

Incluye bibliografía.

Part I. Background. Introduction and overview / Rick H. Hoyle -- Key advances in the history of structural equation modeling / Ross L. Matsueda ; Graphical representation of structural equation models using path diagrams / Moon-ho Ringo Ho, Stephen Stark, and Olexander Chernyshenko ; Latent variables in structural equation modeling / Kenneth A. Bollen and Rick H. Hoyle ; The causal foundations of structural equation modeling / Judea Pearl ; Simulation methods in structural equation modeling / Deborah L. Bandalos and Phillip Gagné -- Part II. Fundamentals. Assumptions in structural equation modeling / Rex B. Kline ; Model specification in structural equation modeling / Rick H. Hoyle ; Identification : a nontechnical discussion of a technical issue / David A. Kenny and Stephanie Milan ; Estimation in structural equation modeling / Pui-Wa Lei and Qiong Wu ; Power analysis for tests of structural equation models / Taehun Lee, Li Cai, and Robert C. MacCallum ; Categorical data in the structural equation modeling framework / Michael C. Edwards, R.J. Wirth, Carrie R. Houts, and Nuo Xi ; Model fit and model selection in structural equation modeling / Stephen G. West, Aaron B. Taylor, and Wei Wu ; Model modification in structural equation modeling / Chih-Ping Chou and Jimi Huh ; Equivalent models : concepts, problems, alternatives / Larry J. Williams -- Part III. Implementation. Preparing data for structural equation modeling : doing your homework / Patrick S. Malone and Jill B. Lubansky ; Structural equation modeling with missing data / John W. Graham and Donna L. Coffman ; Bootstrapping standard errors and data-model fit statistics in structural equation modeling / Gregory R. Hancock and Min Liu ; Choosing structural equation modeling computer software: snapshots of LISREL, EQS, Amos, and Mplus / Barbara M. Byrne ; Structural equation modeling in R with the sem and OpenMx packages / John Fox, Jarrett E. Byrnes, Steven Boker, and Michael C. Neale ; The structural equation modeling research report / Anne Boomsma, Rick H. Hoyle, and Abigail T. Panter.

The first comprehensive structural equation modeling (SEM) handbook, this accessible volume presents both the mechanics of SEM and specific SEM strategies and applications. The editor, along with an international group of contributors, and editorial advisory board are leading methodologists who have organized the book to move from simpler material to more statistically complex modeling approaches. Sections cover the foundations of SEM; statistical underpinnings, from assumptions to model modifications; steps in implementation, from data preparation through writing the SEM report; and basic and advanced applications, including new and emerging topics in SEM. Each chapter provides conceptually oriented descriptions, fully explicated analyses, and engaging examples that reveal modeling possibilities for use with readers' data. Many of the chapters also include access to data and syntax files at the companion website, allowing readers to try their hands at reproducing the authors' results.

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