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Structural equation modeling with Mplus : basic concepts, applications, and programming /

Modeled after Barbara Byrne's other best-selling structural equation modeling (SEM) books, this practical guide reviews the basic concepts and applications of SEM using Mplus Versions 5 & amp; 6. The author reviews SEM applications based on actual data taken from her own research. Using non...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Byrne, Barbara M.
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Hoboken, NJ : Taylor & Francis, 2011.
Colección:Multivariate applications book series.
Temas:
Acceso en línea:Texto completo

MARC

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505 0 |a Structural Equation Modeling with Mplus Basic Concepts, Applications, and Programming; Copyright; Contents; Preface; Acknowledgments; Section I: Introduction; Chapter 1 Structural Equation Models: The Basics; Basic Concepts; The General Structural Equation Model; The General Mplus Structural Equation Model; Notes; Chapter 2 Using the Mplus Program; Mplus Notation and Input File Components and Structure; The Mplus Language Generator; Model Specification From Two Perspectives; The Concept of Model Identification; Overview of Remaining Chapters; Notes; Section II: Single-Group Analyses. 
505 8 |a Chapter 3 Testing the Factorial Validity of a Theoretical Construct: First-Order Confirmatory Factor Analysis ModelThe Hypothesized Model; Mplus Input File Specification and Output File Results; Hypothesis 2: Self-Concept Is a Two-Factor Structure; Mplus Input File Specification and Output File Results; Hypothesis 3: Self-Concept Is a One-Factor Structure; Notes; Chapter 4 Testing the Factorial Validity of Scores From a Measuring Instrument: First-Order Confirmatory Factor Analysis Model; The Measuring Instrument Under Study; The Hypothesized Model. 
505 8 |a Mplus Input File Specification and Output File ResultsNotes; Addendum; Chapter 5 Testing the Factorial Validity of Scores From a Measuring Instrument: Second-Order Confirmatory Factor Analysis Model; The Hypothesized Model; Analysis of Categorical Data; Mplus Input File Specification and Output File Results; Notes; Chapter 6 Testing the Validity of a Causal Structure: Full Structural Equation Model; The Hypothesized Model; Mplus Input File Specification and Output File Results; Post Hoc Analyses; Notes; Section III: Multiple-Group Analyses. 
505 8 |a Chapter 7 Testing the Factorial Equivalence of a Measuring Instrument: Analysis of Covariance StructuresTesting Multigroup Invariance: The General Notion; Testing Multigroup Invariance Across Independent Samples; The Hypothesized Model; Mplus Input File Specification and Output File Results; Notes; Chapter 8 Testing the Equivalence of Latent Factor Means: Analysis of Mean and Covariance Structures; Testing Latent Mean Structures: The Basic Notion; The Hypothesized Model; Testing Multigroup Invariance; Mplus Input File Specification and Output File Results. 
505 8 |a Testing Multigroup Invariance: Other ConsiderationsNotes; Chapter 9 Testing the Equivalence of a Causal Structure: Full Structural Equation Model; Cross-Validation in Structural Equation Modeling; Testing Invariance Across Calibration and Validation Samples; The Hypothesized Model; Mplus Input File Specification and Output File Results; Notes; Section IV: Other Important Topics; Chapter 10 Testing Evidence of Construct Validity: The Multitrait-Multimethod Model; The General CFA Approach to MTMM Analyses; The Hypothesized Model; Mplus Input File Specification and Output File Results. 
520 |a Modeled after Barbara Byrne's other best-selling structural equation modeling (SEM) books, this practical guide reviews the basic concepts and applications of SEM using Mplus Versions 5 & amp; 6. The author reviews SEM applications based on actual data taken from her own research. Using non-mathematical language, it is written for the novice SEM user. With each application chapter, the author "walks" the reader through all steps involved in testing the SEM model including: an explanation of the issues addressed illustrated and annotated testing of the hypothesized and post hoc models expl. 
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650 6 |a Modèles d'équations structurales. 
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650 7 |a Structural equation modeling  |2 fast 
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830 0 |a Multivariate applications book series. 
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