A Step-By-Step Approach to Using SAS for Factor Analysis and Structural Equation Modeling

This is the single best statistics text I've ever read. It's extremely easy to follow, very practical, and gives outstanding examples. Everything is so clearly described in the book that one might call it Factor analysis and SEM for Dummies. I only wish that the book covered nonrecursive SEM models.

Very easy to read. Examples are simple and effective. The book explains the statistical concepts as well as the SAS programming tricks. In fact, the book provides complete code - you will be able to get good amount of analysis done just by copying that code. However, you also need to buy the "The Little SAS Book" if you never used SAS before.

This outstanding book was one of the mainstays for my Ph.D. dissertation. It explain factor analysis and SEM techniques in a clear and effective way, with an hands-on approach that guides the reader during all the data analysis and result interpretation phases.

I really needed this for my dissertation. As a computer scientist who is using statistically-based data mining techniques in my PhD dissertation, I needed a good "Quick Course" in factor analysis. More important than just "what is factor analysis", I needed to know how to implement my ideas in SAS. This book did the trick. Now let's hope my advisors think so. :)

This book does an outstanding job of taking someone that is somewhat rusty in advanced multivariate techniques and turning them into a conversant and competent modeler. Larry Hatcher uses plain English to explain what a technique may be used for, what the required SAS code is, what the output should look like, and how the output can be interpreted. I'd strongly recommend this book for anyone taking a structural equation modeling course or wishing to apply this technique in research.