Applied structural equation modeling using AMOS : basic to advanced techniques
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Bibliographic Information
Applied structural equation modeling using AMOS : basic to advanced techniques
Routledge, 2020
- : pbk
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"Research methods and statistics"--Back cover
Includes bibliographical references and index
Description and Table of Contents
Description
This is an essential how-to guide on the application of structural equation modeling (SEM) techniques with the AMOS software, focusing on the practical applications of both simple and advanced topics.
Written in an easy-to-understand conversational style, the book covers everything from data collection and screening to confirmatory factor analysis, structural model analysis, mediation, moderation, and more advanced topics such as mixture modeling, censored date, and non-recursive models. Through step-by-step instructions, screen shots, and suggested guidelines for reporting, Collier cuts through abstract definitional perspectives to give insight on how to actually run analysis. Unlike other SEM books, the examples used will often start in SPSS and then transition to AMOS so that the reader can have full confidence in running the analysis from beginning to end. Best practices are also included on topics like how to determine if your SEM model is formative or reflective, making it not just an explanation of SEM topics, but a guide for researchers on how to develop a strong methodology while studying their respective phenomenon of interest.
With a focus on practical applications of both basic and advanced topics, and with detailed work-through examples throughout, this book is ideal for experienced researchers and beginners across the behavioral and social sciences.
Table of Contents
Preface 1. Introduction to Structural Equation Modeling 2. Data Screening, Assessing Reliability, Validity, and Identification 3. Understanding the AMOS Program 4. Measurement Model Analysis 5. Path and Full Structural Models 6. Mediation 7. Moderation 8. Using Categorical Independent Variables in SEM 9. Latent Growth Curve Models 10. Advanced Topics in SEM Appendix
by "Nielsen BookData"