Book contents
- Elements of Structural Equation Models (SEMs)
- Elements of Structural Equation Models (SEMs)
- Copyright page
- Dedication
- Contents
- List of Acronyms
- Preface
- 1Overview
- 2Building Blocks and Tools
- 3Multiple Regression as a Structural Equation Model
- 4Simultaneous Equation Models
- 5Confirmatory Factor Analysis
- 6Latent Variable Structural Equation Models
- 7Structural Equation Models with Categorical Indicators and Outcomes
- Afterword
- References
- Index
Afterword
Published online by Cambridge University Press: 05 February 2026
Book contents
- Elements of Structural Equation Models (SEMs)
- Elements of Structural Equation Models (SEMs)
- Copyright page
- Dedication
- Contents
- List of Acronyms
- Preface
- 1Overview
- 2Building Blocks and Tools
- 3Multiple Regression as a Structural Equation Model
- 4Simultaneous Equation Models
- 5Confirmatory Factor Analysis
- 6Latent Variable Structural Equation Models
- 7Structural Equation Models with Categorical Indicators and Outcomes
- Afterword
- References
- Index
Summary
In the Preface, I wrote that the primary purpose of the book was to provide readers with a solid foundation in structural equation models (SEMs). I had several audiences in mind. One was those who desired to be more informed users of SEMs. These readers aspire to an understanding that goes beyond the input commands and output of SEM programs. I also hoped to reach quantitative methodologists who sought to master and to create new tools for SEMs. Finally, I aimed to compose a resource for statisticians, biostatisticians, and data scientists who wished to learn about latent variable modeling with multiple indicators and systems of equations. For those who have made it this far, I hope that your knowledge of SEMs is much deeper than before.
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- Elements of Structural Equation Models (SEMs) , pp. 590 - 591Publisher: Cambridge University PressPrint publication year: 2026
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