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

ISBN-10: 1848728395
ISBN-13: 9781848728394
Edition: 2012
Authors: Barbara Byrne
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Description: Modeled after Barbara Byrne#xE2;#xAC;"s other best-selling structural equation modeling (SEM) books, this practical guide reviews the basic concepts and applications of SEM using MplusVersion 6. The author reviews SEM applications based  More...

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Book details

Copyright year: 2012
Publisher: Taylor & Francis Group
Publication date: 7/21/2011
Binding: Paperback
Pages: 432
Size: 6.25" wide x 9.00" long x 1.00" tall
Weight: 1.584
Language: English

Modeled after Barbara Byrne#xE2;#xAC;"s other best-selling structural equation modeling (SEM) books, this practical guide reviews the basic concepts and applications of SEM using MplusVersion 6. The author reviews SEM applications based on#xE3;#xAC;#xAC;actual data taken from#xE3;#xAC;#xAC;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 explanation and interpretation of all Mplusinput and output files important caveats pertinent to the SEM application under study#xE3;#xAC;#xAC; a description of the data and reference upon which the model was based the corresponding data and syntax files available on the book#xE2;#xAC;"s website. The first two chapters introduce the fundamental concepts of SEM andimportant basics#xE3;#xAC;#xAC;of the Mplus program. The remaining chapters focus on SEM applications and include a variety of SEM models presented within the context of three sections: Single-group analyses, Multiple-group analyses, and other important topics, the latter of which includes the multitrait-multimethod, latent growth curve, and multilevel models. Intended for researchers, practitioners,#xE3;#xAC;#xAC;and students who use SEM and Mplusin their work, this book#xE3;#xAC;#xAC;is an ideal resource for graduate level courses on SEM taught in departments of psychology, education, business, and other social and health sciences and/or as a supplement for courses on applied statistics, multivariate statistics, intermediate or advanced statistics, and/or research design. This book is appropriate for those having limited or no previous exposure to either SEM or Mplus, although a prerequisite of basic statistics through regression analysis is recommended. It serves as an invaluable companion to the Mplus User#xE2;#xAC;"s Guide, as well as to any SEM textbook.

Preface
Acknowledgments
Introduction
Structural Equation Models: The Basics
Basic Concepts
The General Structural Equation Model
The General Mplus Structural Equation Model
Notes
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
Single-Group Analyses
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
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
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
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
Multiple-Group Analyses
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
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
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
Other Important Topics
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
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
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

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