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.
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.