Product Description

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, busines

Product Details

• Amazon Sales Rank: #196748 in Books
• Published on: 2004-06-12
• Original language: English
• Number of items: 1
• Binding: Paperback
• 512 pages

From the Back Cover

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.

Customer Reviews

A down-to-earth guide to SEM without too much maths
With Structural Equation Modeling (SEM) becoming an important statistical tool, this book serves as an excellant guide to the topic. It covers the rudimentary topics that are important in SEM (e.g., sample size, interpretation of goodness of fit indices) as well as a short chapter on some advanced topics (e.g., Bootstrap methods, interactions). Lots of examples included at the end of each chapter as well as one chapter devoted to complete examples (i.e., from formulating models, command lines for the computer package and interpretation of outputs)! Though the many examples stated in the book involve using EQS5 and LISREL8 computer packages, even if the reader does not have these programs, the book is still very useful. If you ever wanted to ask what this or that mean in a SEM analysis that you are doing or have read - this book most probably has the answers! Personally, I have found this to be a helpful introduction to SEM without too much distracting mathematical details. My advice - GET IT!