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Quantitative Applications in the Social Sciences #34: Covariance Structure Models: An Introduction to Lisrel

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Quantitative Applications in the Social Sciences #34: Covariance Structure Models: An Introduction to Lisrel Cover

 

Synopses & Reviews

Synopsis:

While many readers may be unfamiliar with the full complexity of the covariance structure model, many may have mastered at least one of its two components - each of which is a powerful and well-known statistical technique in its own right. The first is the confirmatory factor model frequently used in psychometrics; the second, the structural equation model, is familiar to econometricians. The discussion in this volume will be particularly useful for estimating models with equality constraints and correlated errors across some but not all equations. The final chapter includes a guide to appropriate software packages.

Synopsis:

Building directly on confirmatory factor analysis, Long presents a measurement model (drawn from psychometrics) and a structural equation model (drawn from econometrics) that, together, comprise the LISREL covariance structure model.

Product Details

ISBN:
9780803920453
Author:
Long, J. Scott
Publisher:
Sage Publications (CA)
Location:
Beverly Hills :
Subject:
Research
Subject:
Social sciences
Subject:
Mathematical models
Subject:
Analysis of variance
Subject:
Analysis of variance -- Mathematical models.
Subject:
Social sciences -- Statistical methods -- Mathematical models.
Subject:
LISREL
Subject:
Social sciences -- Statistical methods.
Subject:
Sociology-Reference and Methodology
Edition Description:
Bibliography: p. 91-93.
Series:
Quantitative Applications in the Social Sciences
Series Volume:
34
Publication Date:
19830931
Binding:
TRADE PAPER
Language:
English
Illustrations:
Yes
Pages:
96
Dimensions:
8.50x5.39x.29 in. .20 lbs.

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Quantitative Applications in the Social Sciences #34: Covariance Structure Models: An Introduction to Lisrel New Trade Paper
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Product details 96 pages Sage Publications - English 9780803920453 Reviews:
"Synopsis" by , While many readers may be unfamiliar with the full complexity of the covariance structure model, many may have mastered at least one of its two components - each of which is a powerful and well-known statistical technique in its own right. The first is the confirmatory factor model frequently used in psychometrics; the second, the structural equation model, is familiar to econometricians. The discussion in this volume will be particularly useful for estimating models with equality constraints and correlated errors across some but not all equations. The final chapter includes a guide to appropriate software packages.
"Synopsis" by , Building directly on confirmatory factor analysis, Long presents a measurement model (drawn from psychometrics) and a structural equation model (drawn from econometrics) that, together, comprise the LISREL covariance structure model.
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