Testing Structural Equation Models

What 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.

ISBN 0803945078   Pages 308 ISBN13 9780803945074 (What's this?)   Volumes 1 Publisher SAGE Publications Inc   Weight (grammes) 424 Imprint SAGE Publications Inc   Published in Thousand Oaks Format Paperback   Series ISSN 154 Publication date 14 Mar 1993   Series title SAGE Focus Editions Non-book description 320 p. :   Height (mm) 216 Library of Congress 92037324   Width (mm) 140 DEWEY 300.15118   Spine width (mm) 18 DEWEY edition DC20   Academic level Professional / Scholarly

Introduction - Kenneth A Bollen and J Scott Long Multifaceted Conceptions of Fit in Structural Equation Models - J S Tanaka Monte Carlo Evaluations of Goodness-of-Fit Indices for Structural Equation Models - David W Gerbing and James C Anderson Some Specification Tests for the Linear Regression Model - J Scott Long and Pravin K Trivedi Bootstrapping Goodness-of-Fit Measures in Structural Equation Models - Kenneth A Bollen and Robert A Stine Alternative Ways of Assessing Model Fit - Michael W Browne and Robert Cudeck Bayesian Model Selection in Structural Equation Models - Adrian E Raftery Power Evaluations in Structural Equation Models - Willem E Saris and Albert Satorra Goodness-of-Fit with Categorical and Other Nonnormal Variables - Bengt O Muthen Some New Covariance Structure Model Improvement Statistics - P M Bentler and Chih-Ping Chou Nonpositive Definite Matrices in Structural Modeling - Werner Wothke Testing Structural Equation Models - Karl G Joreskog

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