Structural Equation Modeling With Mplus: Basic Concepts, Applications, and Programming

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Structural Equation Modeling With Mplus: Basic Concepts, Applications, and Programming

Format:  Hardcover,

412 pages

Publisher: Taylor & Francis

Publish Date: Jul 2011

ISBN-13: 9780805859867

ISBN-10: 0805859861

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Book Information

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Specifications

Publisher: Taylor & Francis
Publish Date: Jul 2011
ISBN-13: 9780805859867
ISBN-10: 0805859861
Format: Hardcover
Number of Pages: 412
Shipping Weight (in pounds): 1.55
Product in Inches (L x W x H): 6.25 x 9.25 x 1.0

Chapter outline

Introduction
Structural Equation Models: The Basics
Using the Mplus Program
Single-Group Analyses.Confirmatory Factor Analytic Models
Testing the Factorial Validity of a Theoretical Construct (1st-order CFA Model)
Testing the Factorial Validity of Scores from a Measuring Instrument (1st-order CFA Model)
Testing the Validity of Scores from a Measuring Instrument (2nd-order CFA Model). The Full Latent Variable Model
Testing the Validity of a Causal Structure
Multiple-Group Analyses. Confirmatory Factor Analytic Models
Testing for the Factorial Equivalence of a Measuring Instrument (Analysis of Covariance Structures)
Testing for the Equivalence of Latent Factor Means (Analysis of Mean and Covariance Structures). The Full Latent Variable Model
Testing for the Equivalence of a Causal Structure (Analysis of Covariance Structures)
Other Important Topics
Testing Evidence of Construct Validity: The Multitrait-multimethod Model
Testing Change Over Time: The Latent Growth Curve Model
Testing Within- and Between-level Variability: The Multilevel Model

Book description

Modeled after Barbara Byrneâ€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 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
  • explanation and interpretation of all Mplusinput and output files
  • important caveats pertinent to the SEM application under study
  • a description of the data and reference upon which the model was based
  • the corresponding data and syntax files available on the bookâ€s website.

The first two chapters introduce the fundamental concepts of SEM andimportant basics 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, and students who use SEM and Mplusin their work, this book 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 Userâ€s Guide, as well as to any SEM textbook.

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