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

ISBN-10: 0805841261
ISBN-13: 9780805841268
Edition: 2nd 2006 (Revised)
Authors: Barbara M. Byrne
List price: $59.95
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Description: Readersnbsp;who want a less mathematical alternative to the EQS manual will find exactly what they're looking for in this practical text. Written specifically for those with little to no knowledge of structural equation modeling (SEM) or EQS, the  More...

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Book details

List price: $59.95
Edition: 2nd
Copyright year: 2006
Publisher: Taylor & Francis Group
Publication date: 2/17/2006
Binding: Paperback
Pages: 454
Size: 5.75" wide x 8.75" long x 0.75" tall
Weight: 1.628

Readersnbsp;who want a less mathematical alternative to the EQS manual will find exactly what they're looking for in this practical text. Written specifically for those with little to no knowledge of structural equation modeling (SEM) or EQS, the author's goal is to provide a non-mathematical introduction to the basic concepts of SEM by applying these principles to EQS, Version 6.1. The book clearly demonstrates a wide variety of SEM/EQS applications that include confirmatory factor analytic and full latent variable models. Written in a "user-friendly" style, the author "walks" the reader through the varied steps involved in the process of testing SEM models:nbsp;model specification and estimation, assessment of model fit, EQS output, and interpretation of findings. Each of the book's applications is accompanied by: a statement of the hypothesis being tested, a schematic representation of the model, explanations of the EQS input and output files, tips on how to use the pull-down menus, and the data file upon which the application is based. The book carefully works through applications starting with relatively simple single group analyses, through to more advanced applications, such as a multi-group, latent growth curve, and multilevel modeling. The new edition features: *many new applications that include a latent growth curve model, a multilevel model, a second-order model based on categorical data, a missing data multigroup model based on the EM algorithm, and the testing for latent mean differences related to a higher-order model; *a CD enclosed with the book that includes all application data; *vignettes illustrating procedural and/or data management tasks; *description of how to build models both interactively using the BUILD-EQ interface and graphically using the EQS Diagrammer.

Preface and Acknowledgments
Introduction
Structural Equation Models: The Basics
Basic Concepts
The General Structural Equation Model
The General EQS Structural Equation Model
Using the EQS Program
Components of the EQS Input File
The Concept of Model Identification
Creating the EQS Input File
Building an Input File Manually
Building an Input File Interactively Using BUILD_EQS
Building an Input File Graphically Using the DIAGRAMMER
The EQS Output File in General
EQS Error Messages
Overview of Remaining Chapters
Single-Group Analyses
Application 1: Testing for the Factorial Validity of a Theoretical Construct (First-Order CFA Model)
The Hypothesized Model
The EQS Input File
The EQS Output File
Model Specification and Analysis Summary
Model Assessment
Model Misspecification
Post Hoc Analyses
Application 2: Testing for the Factorial Validity of Scores From a Measuring Instrument (First-Order CFA Model)
The Hypothesized Model
The EQS Input File
The EQS Output File
Post Hoc Analyses
Application 3: Testing for the Factorial Validity of Scores From a Measuring Instrument (Second-Order CFA Model)
The Hypothesized Model
Analysis of Categorical Data
Categorical Variables Analyzed as Continuous Variables
Categorical Variables Analyzed as Categorical Variables
Analyses Based on Data Regarded as Categorical
The EQS Input File
The EQS Output File
Post Hoc Analyses
Analyses Based on Data Regarded as Continuous
The EQS Output File
Application 4: Testing for the Validity of a Causal Structure
The Hypothesized Model
Formulation of Indicator Variables
Confirmatory Factor Analyses
The EQS Input File
The EQS Output File
Post Hoc Analyses
Multiple-Group Analyses
Application 5: Testing for the Factorial Invariance of a Measuring Instrument
Testing for Multigroup Invariance
Testing for Invariance Across Independent Samples
The Hypothesized Model
The EQS Input File
The EQS Output File
Other Considerations in Testing for Multiple Group Invariance
Application 6: Testing for the Invariance of a Causal Structure
Cross-Validation in SEM
Testing for Invariance Across Calibration/Validation Samples
The Hypothesized Model
The EQS Input File
The EQS Output File
Application 7: Testing for Latent Mean Differences (First-Order CFA Model)
Basic Concepts Underlying Tests of Latent Mean Structures
Modeling Mean Structures in EQS
Testing for Latent Mean Differences of a First-Order CFA Model
The Strategy
The Hypothesized Model
The EQS Input File
The EQS Output File
Application 8: Testing for Latent Mean Differences (Second-Order CFA Model)
Testing for Latent Mean Differences of a Second-Order Model
The Strategy
The Hypothesized Model
Other Important Topics
Application 9: Testing for Construct Validity: The Multitrait-Multimethod Model
The General CFA Approach to MTMM Analyses
The Hypothesized Model
The EQS Input File
The EQS Output File
The Correlated Uniqueness Approach to MTMM Analyses
The Hypothesized Model
The EQS Input File
The EQS Output File
Application 10: Testing for Change Over Time: The Latent Growth Curve Model
Measuring Change in Individual Growth Over Time: The General Notion
The Hypothesized Model
Modeling Intraindividual Change
Modeling Inter-individual Differences in Change
Testing for Inter-individual Differences in Change
The EQS Input File
The EQS Output File
Gender as a Time-Invariant Predictor of Change
The EQS Input File
The EQS Output File
Application 11: Testing for Within- and Between-Level Variance: The Multilevel Model
Overview of Multilevel Modeling
Single-Level Analyses of Hierarchically Structured Data: Related Problems
Multiple Level Analyses of Hierarchically Structured Data: Multilevel Modeling
The Hypothesized Model
The EQS Input File
The EQS Output File
References
Author Index
Subject Index

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