Basic Principles of Structural Equation Modeling
An Introduction to Lisrel and Eqs (Springer Texts in Statistics)
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Word Count
57,250 words, Guess
Page Count
229 pages
Identifiers
- Internet Archivebasicprincipleso0000muel
- ISBN-100387945164
- ISBN-139780387945163
- LibraryThing8138374
- Library of Congress Control Number95015043
and 3 more
- Better World Books9780387945163
- Better World BooksW8-ARD-173
- Open LibraryOL7448496M
Classifications
- LCCQA278.3 .M84 1996
- LCCH1-970.9
- DDC519.5/35
Description
The last two decades have seen structural equation modeling (SEM) emerge as a powerful data analysis tool for research in the social sciences, education, and psychology. With the advent of SEM computer programs such as LISREL and EQS, SEM has become a well-established and respected methodology. This book provides an introduction to the subject suitable for beginning graduate students. Its focus is on the basic concepts and applications of SEM within the social and behavioral sciences. The author develops SEM techniques by presenting linear regression, path analysis, confirmatory factor analysis, and then more general structural equation models. In doing so, he is able both to explain clearly the underlying statistical methodology in SEM whilst at the same time illustrate the use of SEM to analyse real data sets drawn from a number of different settings in the behavioral and social sciences.
First Sentence
In many ways, structural equation modeling (SEM) techniques may be viewed as "fancy" multivariate regression methods.
Excerpt
In many ways, structural equation modeling (SEM) techniques may be viewed as "fancy" multivariate regression methods.
Subjects
Other Editions
- Basic Principles of Structural Equation Modeling
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