Structural Equation Modeling With AMOS
Basic Concepts, Applications, and Programming
Published March 7th 2013 by Psychology Press – 352 pages
Series: Multivariate Applications Series
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:
"I believe that Byrne's book is a valuable companion to those who aspire to analyse their data with SEM. It is written in a clear style, richly illustrated, and discusses most of the problems readers will encounter in their own research….also suitable for use as a textbook on structural equation modelling." - European Journal of Work and Organizational Psychology
"…considerable effort is devoted to introducing statistical principles, concepts, and measures in nonmathematical terms….its excellent treatment of the practical aspects of modeling and because it provides useful and accessible material about some of the statistical aspects of SEM." - Contemporary Psychology
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.