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Testing Structural Equation Models de Kenneth A. (Alan) Bollen

Testing Structural Equation Models: SAGE Focus Editions, cartea 154

Editat de Kenneth A. (Alan) Bollen, John Scott Long
en Limba Engleză Paperback – 13 mar 1993
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.
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Specificații

ISBN-13: 9780803945074
ISBN-10: 0803945078
Pagini: 308
Ilustrații: 1
Dimensiuni: 140 x 216 x 21 mm
Greutate: 0.43 kg
Ediția:1
Editura: SAGE Publications
Colecția Sage Publications, Inc
Seria SAGE Focus Editions

Locul publicării:Thousand Oaks, United States

Cuprins

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 Muthén
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 Jöreskog

Descriere

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.