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Some New Covariance Structure Model Improvement Statistics

Author

Listed:
  • P. M. Bentler

    (University of California, Los Angeles)

  • Chih-Ping Chou

    (University of Southern California)

Abstract

Model modification in covariance structure analysis through reducing constraints can have an impact on the estimates of the maintained free parameters if the model is reevaluated. Three new statistics that focus on the estimated changes of parameter estimates and estimated sampling variability of the maintained free parameters are developed in this study. Another new statistic focuses on the significance of the estimated change in restricted, especially, fixed, parameters. An empirical investigation of the performance of these four new statistics showed that they can provide valuable supplementary information to the Lagrange multiplier statistic.

Suggested Citation

  • P. M. Bentler & Chih-Ping Chou, 1992. "Some New Covariance Structure Model Improvement Statistics," Sociological Methods & Research, , vol. 21(2), pages 259-282, November.
    • Handle: RePEc:sae:somere:v:21:y:1992:i:2:p:259-282
    DOI: 10.1177/0049124192021002006
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    References listed on IDEAS

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    1. Albert Satorra, 1989. "Alternative test criteria in covariance structure analysis: A unified approach," Psychometrika, Springer;The Psychometric Society, vol. 54(1), pages 131-151, March.
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