New developments and techniques in structural equation modeling /
General Material Designation
[Book]
First Statement of Responsibility
[edited] by George A. Marcoulides and Randall E. Schumacker.
.PUBLICATION, DISTRIBUTION, ETC
Place of Publication, Distribution, etc.
Mahwah, N.J. :
Name of Publisher, Distributor, etc.
L. Erlbaum,
Date of Publication, Distribution, etc.
2001.
PHYSICAL DESCRIPTION
Specific Material Designation and Extent of Item
1 online resource (xvii, 333 pages) :
Other Physical Details
illustrations
INTERNAL BIBLIOGRAPHIES/INDEXES NOTE
Text of Note
Includes bibliographical references and indexes.
CONTENTS NOTE
Text of Note
Latent variable mixture modeling / Bengt O. Muthén -- A unified approach to multigroup structural equation modeling with nonstandard samples / Ke-Hai Yuan and Peter M. Bentler -- Modeling of intervention effects with noncompliance : a latent variable approach for randomized trials / Booil Jo and Bengt O. Muthén -- Multilevel modeling with SEM / Ronald H. Heck -- Bayesian structural equation models for multilevel data / Kamel Jedidi and Asim Ansari -- Robust standard errors and chi-squares for interaction models / Fan Yang-Wallentin and Karl G. Jöreskog -- Interaction models in latent growth curves / Fuzhong Li [and others] -- Advanced studies of individual differences linear dynamic models for longitudinal data analysis / Fumiaki Hamagami and John J. McArdle -- Specification searches in structural equation modeling with a genetic algorithm / George A. Marcoulides and Zvi Drezner -- Item parceling issues in structural equation modeling / Deborah L. Bandalos and Sara J. Finney -- The problem of equivalent structural equation models : an individual residual perspective / Tenko Raykov and Spiridon Penev.
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OTHER EDITION IN ANOTHER MEDIUM
Title
New developments and techniques in structural equation modeling.
International Standard Book Number
0805835938
TOPICAL NAME USED AS SUBJECT
Multivariate analysis.
Social sciences-- Statistical methods.
MATHEMATICS-- Probability & Statistics-- Multivariate Analysis.