A Beginner's Guide to Structural Equation Modeling

Schumacker, Randall E.; Lomax, Richard G.

ISBN 10: 0805840184 / ISBN 13: 9780805840186

Published by Lawrence Erlbaum Associates, Inc., Mahwah, NJ, U.S.A., 2004

About this Item

Softcover has worn edges and creased and worn corners. Page block is a bit grubby. Dedication page is slightly water damaged. Pen mark on page 182. Small waterstain through top corners of some last pages. Bottom corners of early pages and corners of last pages are creased. The book is accompanied by CD. Illustrated with numerous diagrams and tables. Includes indexes. T. Seller Inventory # 262685

Bibliographic Details

Title: A Beginner's Guide to Structural Equation ...

Publisher: Lawrence Erlbaum Associates, Inc., Mahwah, NJ, U.S.A.

Publication Date: 2004

Binding: Paperback

Condition: Acceptable

Dust Jacket Condition: No Dust Jacket

Edition: Second Edition.

Book Type: Used

About this title

Synopsis:

The second edition features:

• 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.