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Statistics, Mathematical Modeling - Politics & Social Sciences, Social Sciences - Methodology
Structural Equation Modeling by Rick H. Hoyle β€” book cover

Structural Equation Modeling

by Rick H. Hoyle
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Overview

This largely nontechnical volume reviews some of the major issues facing researchers who wish to use structural equation modeling. Individual chapters present recent developments on specification, estimation and testing, statistical power, software comparisons and analyzing multitrait/multimethod data. Numerous examples of applications are given and attention is paid to the underlying philosophy of structural equation modeling and to writing up results from structural equation modeling analyses.

Synopsis

This largely nontechnical volume reviews some of the major issues facing researchers who wish to use structural equation modeling. Individual chapters present recent developments on specification, estimation and testing, statistical power, software comparisons and analyzing multitrait/multimethod data. Numerous examples of applications are given and attention is paid to the underlying philosophy of structural equation modeling and to writing up results from structural equation modeling analyses.

Booknews

For graduate students and seasoned researchers in the social and behavioral sciences, explains the concepts and methodologies of applying structural equation modeling to research problems. Among the topics are estimates and tests, evaluating the model fit, non-normal variables, and objectivity and reasoning. The examples of applications include the relation of personality variables to symptom complaint, and predictors of change in antisocial behavior during elementary school for boys. Assumes a prior knowledge of traditional inferential statistics. Annotation c. Book News, Inc., Portland, OR (booknews.com)

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Editorials

Scott L. Hershberger

"SEMCIA by and large accomplishes its goal to be a convenient, contemporary, and accurate source of knowledge in SEM."

Booknews

For graduate students and seasoned researchers in the social and behavioral sciences, explains the concepts and methodologies of applying structural equation modeling to research problems. Among the topics are estimates and tests, evaluating the model fit, non-normal variables, and objectivity and reasoning. The examples of applications include the relation of personality variables to symptom complaint, and predictors of change in antisocial behavior during elementary school for boys. Assumes a prior knowledge of traditional inferential statistics. Annotation c. Book News, Inc., Portland, OR (booknews.com)

Book Details

Published
February 1, 1995
Publisher
SAGE Publications
Pages
312
Format
Paperback
ISBN
9780803953185

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