Brian F. French is a Professor of Measurement, Statistics, and Research Methods at Washington State University.

W. Holmes Finch is the George and Frances Ball Distinguished Professor of Educational Psychology and Professor of Statistics and Psychometrics at Ball State University.

1. Introduction to basic data handling in R 2. Exploratory Factor analysis 3. Confirmatory Factor analysis 4. Foundations of Structural Equation Modeling (SEM) 5. SEM for multiple groups, the MIMIC model, and latent means comparisons 6. Further Topics in SEM 7. Growth Curve Modeling 8. Mixture models 9. Item Response Theory for dichotomous and polytomous items 10. Further topics in Item Response Theory 11. Data simulation for latent variable modeling in R Appendix A. Key R Commands

This book demonstrates how to conduct latent variable modeling in R by highlighting the features of each model, their specialized uses, examples, sample code and output, and an interpretation of the results. Each chapter features an example with an analysis of the data using R, the theory, and the assumptions underlying the model to help readers understand the techniques and interpret the results. Every R command necessary for conducting the analyses is described along with the output which provides readers with a template to follow when they apply the methods to their own data. Suggested readings, a glossary, a key R commands, and an accompanying website serve as helpful resources.