Structural Equation Modeling with AMOS: Basic Concepts, Applications and Programming (Multivariate Applications Series)

Structural Equation Modeling with AMOS: Basic Concepts, Applications and Programming (Multivariate Applications Series)

by Barbara M. Byrne

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Overview

Structural Equation Modeling with AMOS: Basic Concepts, Applications and Programming (Multivariate Applications Series) by Barbara M. Byrne

This book illustrates the ease with which AMOS 4.0 can be used to address research questions that lend themselves to structural equation modeling (SEM). This goal is achieved by: 1) presenting a nonmathematical introduction to the basic concepts and applications of structural equation modeling; 2) demonstrating basic applications of SEM using AMOS 4.0; and 3) highlighting features of AMOS 4.0 that address important caveats related to SEM analyses.

Written in a "user-friendly" style, the author "walks" the reader through 10 SEM applications from model specification to estimation to the assessment and interpretation of the output. Each of the book's applications is accompanied by:


  • a statement of the hypothesis being tested;

  • a schematic representation of the model under study;

  • the use and function of a wide variety of icons and pull-down menus;

  • a full explanation of related AMOS Graphic input models and output files;

  • a model input file based on AMOS BASIC; and

  • the published reference from which each application was drawn.

Product Details

ISBN-13: 9780805833225
Publisher: Taylor & Francis
Publication date: 11/28/2000
Series: Multivariate Applications Series
Pages: 352
Product dimensions: 6.00(w) x 9.00(h) x 1.00(d)

Table of Contents

Contents: Preface. Part I: Introduction. Structural Equation Models: The Basics. The AMOS Program. Part II: Single-Group Analyses. Application 1: Testing for the Factorial Validity of a Theoretical Construct (First-Order CFA Model). Application 2: Testing for the Factorial Validity of Scores From a Measuring Instrument (First-Order CFA Model). Application 3: Testing for the Factorial Validity of Scores From a Measuring Instrument (Second-Order CFA Model). Application 4: Testing for the Validity of a Causal Structure. Part III: Multiple-Group Analyses. Application 5: Testing for Invariant Factorial Structure of a Measuring Instrument (First-Order CFA Model). Application 6: Testing for Invariant Factorial Structure of a Theoretical Construct (First-Order CFA Model). Application 7: Testing for Invariant Latent Mean Structures. Application 8: Testing for Invariant Pattern of Casual Structure. Part IV: Other Important Topics. Application 9: Bootstrapping as an Aid to Nonnormal Data. Application 10: Dealing With Incomplete Data. Appendices.

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