A Beginner's Guide to Structural Equation Modeling (Repost)

This revised edition is intended to give students and researchers a basic understanding of SEM, focusing on the conceptual steps one takes in analyzing theoretical models. SEM is useful in statistical methods courses in social science, education, business, medicine, and biological studies.

The second edition features:
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.