# Other Books by Larry Hatcher

I am the author (or co-author) of several books that show how to perform statistical analyses using the SAS® and JMP® applications. Each is briefly described here; to learn more, click the book's title to go to it's page at Amazon.com.

**O'Rourke, N. (2013), Hatcher, L. (1994) SAS Institute Inc.**

This is the user-friendly book that shows how to use the SAS System’s CALIS procedure to perform confirmatory factor analysis (CFA), path analysis with manifest variables, and path analysis with latent factors (i.e., “LISREL analyses”). Introductory chapters cover principal component analysis, exploratory factor analysis, and scale reliability. Appendices cover the basics of using SAS: data input, working with variables, and simple descriptive statistics. I take pride in the fact that this book has helped make structural equation modeling accessible to all researchers, regardless of their expertise in statistics or data analysis. And the text has been popular—at last count it had over 2,000 citations on Google Scholar. Look for a new edition to be released soon with Norm O’Rourke taking the helm as first author.

A Step-by-Step Approach to Using SAS for Univariate and Multivariate Statistics, Second Edition

**O’Rourke, N.(2005) , Hatcher, L., & Stepanski, E.J. (2005). Cary, NC: SAS Institute, Inc.**

These books are the first and second editions of our user-friendly guide to using SAS for univariate and multivariate statistics. They cover the basics of using SAS for those who are new to the application. They then show how to use SAS to perform a potpourri of widely-used statistical procedures: correlation, scale reliability,* t* tests, one-way ANOVA, factorial ANOVA (both within-subject designs and between-subject designs), MANOVA, multiple regression, and principal component analysis. The co-authors are my friends Ed Stepanski and Norm O’Rourke (okay, on the current edition Norm is actually first author, and, yes, he pretty much does all the work). Look for a third edition to be published soon, with new material on hierarchical linear models.

Step-By-Step Basic Statistics Using SAS: Student Guide

**Hatcher, L. (2003). Cary, NC: SAS Institute.**

Larry Hatcher's Step-by-Step Basic Statistics Using SAS: Student Guide first introduces you to SAS software, then leads you through a variety of elementary statistical analyses that are commonly used in the social and behavioral sciences. With SAS, you can focus more on conceptual issues in statistical analysis and less on the mechanics of performing mathematical operations by hand. Main topics include how to use the SAS windowing environment to write and submit SAS programs; how to create SAS data sets and modify the variables that they contain; basic descriptive statistics (measures of central tendency and variability, frequency tables, and graphs); correlation and regression; t tests (single-sample, independent and paired samples); analysis of variance (ANOVA), both one-way and factorial; and the chi-square test of independence.

Step-by-step basic statistics using SAS®: Exercises

**Hatcher, L. (2003). Cary, NC: SAS Institute.**

These easy-to-understand books are designed for students taking their first course in elementary statistics. The *Student Guide* shows the basics of using SAS (data input, working with variables), as well as the statistical procedures that are typically covered in an introductory statistics course (frequency tables, descriptive statistics, correlation, regression,* t* tests, one-way ANOVA, factorial ANOVA, chi-square, and more). The *Exercises* book provides two problems for each statistical procedure. Complete solutions are given for the odd-numbered exercises.

JMP for Basic Univariate and Multivariate Statistics: A Step-by-step Guide

**Lehman, A., O’Rourke, N., Hatcher, L. & Stepanski, E. (2005). Cary, NC: SAS Institute, Inc.**

This book covers pretty much the same potpourri of statistical procedures covered in *A Step-by-Step Approach to Using SAS® for Univariate & Multivariate Statistics*, but does so with the newer JMP® application.