A Beginner's Guide to Structural Equation Modeling: with LISREL, Mplus, and R
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A Beginner's Guide to Structural Equation Modeling: with LISREL, Mplus, and R

by Randall E. Schumacker, Tiffany A. Whittaker

statistics data analysis Research Methods
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A Beginner's Guide to Structural Equation Modeling offers a clear introduction to SEM techniques using LISREL, Mplus, and R. It walks readers through model building, estimation, and interpretation with practical guidance. Ideal for newcomers in statistics and research seeking to analyze complex data relationships.

About This Book

Structural equation modeling (SEM) is a powerful statistical technique for testing and estimating causal relationships using a combination of statistical data and qualitative causal assumptions. This book serves as an accessible entry point for those new to SEM.

The guide covers the fundamentals of SEM and demonstrates its application through popular software tools: LISREL for comprehensive SEM analysis, Mplus for flexible modeling options, and R for open-source statistical computing.

Readers will learn to build, estimate, and interpret SEM models step by step, with practical examples to reinforce concepts. The authors emphasize clear explanations to help beginners grasp the methodology without prior advanced knowledge.

Whether for research, academia, or professional analysis, this resource equips users with the skills to apply SEM effectively in their work.

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I will be using this book for: