Structural Equation Modeling with Mplus Basic Concepts, Applications, and Programming

[This book] reviews the basic concepts and applications of SEM using Mplus Version 6. ... The first two chapters introduce the fundamental concepts of SEM and important basics of the Mplus program. The remaining chapters focus on SEM applications and include a variety of SEM models presented within...

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Bibliographic Details
Main Author: Byrne, Barbara M
Format: eBook Book
Language:English
Published: United Kingdom Routledge 2011
Taylor and Francis
Taylor & Francis Group
Edition:1
Series:Multivariate applications series
Subjects:
Beispiel
Datenanalyse
Empirische Forschung
Factor Analysis, SEM, Multilevel & Longitudinal Modeling
Faktorenanalyse
Mehrebenenanalyse
Messverfahren
Modell
Modellierung
Mplus
Multivariate Analyse
Multivariate analysis
Multivariate Statistics
Programmierung
Prüfverfahren
Psychology
Quantitative Methods
Social sciences
Social sciences > Statistical methods
Software
Statistical methods
Statistik
Structural equation modeling
Validität
Variable
Wachstumsmodell
Structural Regression Paths
Hypothesize CFA Model
residual
covariance
item13
Mplus Input File
Latent Factor Means
ITEM3 ITEM6 ITEM8 ITEM13 ITEM14
Latent Growth Curve Model
MLR Estimator
output
Full SEM
file
Multitrait Multimethod Model
Mplus Output
CFA Model
WLSMV Estimator
Post Hoc
EE
ICC Value
MLM Estimator
Multigroup Invariance
input
Standardized Model Results
Nigerian Adolescents
DWLS Estimate
Residual Covariance
Model Command
CU Model
item8
files
Full SEM Model
item3
item6
Input File
ISBN:1136663460, 9781136663468, 9781848728394, 1848728395, 0805859861, 9780805859867
Online Access:Get full text
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Table of Contents:
  • Chapter 7 Testing the Factorial Equivalence of a Measuring Instrument: Analysis of Covariance Structures -- Testing 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 -- Testing Multigroup Invariance: Other Considerations -- Notes -- 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 -- Examining Evidence of Construct Validity at the Matrix Level -- Examining Evidence of Construct Validity at the Parameter Level -- The Correlated Uniquenesses Approach to MTMM Analyses -- Notes -- Chapter 11 Testing Change Over Time: The Latent Growth Curve Model -- Measuring Change in Individual Growth Over Time: The General Notion -- The Hypothesized Dual-Domain LGC Model -- Mplus Input File Specification and Output File Results -- Hypothesized Covariate Model: Age and Surgery as Predictors of Change -- Notes -- Chapter 12 Testing Within- and Between-Level Variability: The Multilevel Model -- Overview of Multilevel Modeling -- The Hypothesized Model
  • Mplus Input File Specification and Output File Results -- Notes -- References -- Author Index -- Subject Index
  • Cover -- 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 -- Chapter 3 Testing the Factorial Validity of a Theoretical Construct: First-Order Confirmatory Factor Analysis Model -- The 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 -- Mplus Input File Specification and Output File Results -- Notes -- 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