Testing Structural Equation Models
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Testing Structural Equation Models by Kenneth A. Bollen
Book DescriptionWhat is the role of fit measures when respecifying a model? Should the means of the sampling distributions of a fit index be unrelated to the size of the sample? Is it better to estimate the statistical power of the chi-square test than to turn to fit indices? Exploring these and related questions, well-known scholars examine the methods of testing structural equation models (SEMS) with and without measurement error, as estimated by such programs as EQS, LISREL and CALIS.
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Book DetailsISBN: 9780803945074
(216mm x 140mm x 18mm)
Imprint: SAGE Publications Inc
Publisher: SAGE Publications Inc
Publish Date: 14-Mar-1993
Country of Publication: United States
Books By Author Kenneth A. Bollen
Latent Curve Models, Hardback (January 2006)
A review of the state of the art in smart antennas and document in an easy-to-understand format, coverage includes the analysis and design issues crucial for a successful design. It provides the reader with tools to enhance the development cycle by tying the theory and practice together, producing superior results.
Structural Equations with Latent Variables, Hardback (June 1989)» View all books by Kenneth A. Bollen
Analysis of Ordinal Categorical Data Alan Agresti Statistical Science Now has its first coordinated manual of methods for analyzing ordered categorical data. This book discusses specialized models that, unlike standard methods underlying nominal categorical data, efficiently use the information on ordering.
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Author Biography - Kenneth A. Bollen
Scott Long is Distinguished Professor and Chancellor's Professor of Sociology and Statistics at Indiana University, Bloomington. He teaches quantitative methods both at Indiana University and at the ICSPR Summer Program. His earlier research examined gender differences in the scientific career. In recent years, he has collaborated with Eliza Pavalko, Bernice Pescsolido, John Bancroft, Julia Heiman and others in studies of health and aging, stigma and mental health, and human sexuality.
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