a CD with all of the book's Amos, EQS, and LISREL programs and data sets;
new chapters on importing data issues related to data editing and on how to report research;
an updated introduction to matrix notation and programs that illustrate how to compute these calculations;
many more computer program examples and chapter exercises; and
increased coverage of factors that affect correlation, the 4-step approach to SEM and hypothesis testing, significance, power, and sample size issues.

The new edition's expanded use of applications make this book ideal for advanced students and researchers in psychology, education, business, health care, political science, sociology, and biology. A basic understanding of correlation is assumed and an understanding of the matrices used in SEM models is encouraged.

About the Author:

Randall E. Schumacker is a Professor of Education Research at the University of North Texas. He has served on the editorial boards of numerous journals and is Emeritus Editor of Structural Equation Modeling.
Richard G. Lomax is a Professor of Education and Applied Statistics at the University of Alabama. He has published numerous artciles and presented numerous papers on related topics.

"About this title" may belong to another edition of this title.

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