Literature DB >> 19756246

An Empirical Evaluation of the Use of Fixed Cutoff Points in RMSEA Test Statistic in Structural Equation Models.

Feinian Chen1, Patrick J Curran, Kenneth A Bollen, James Kirby, Pamela Paxton.   

Abstract

This article is an empirical evaluation of the choice of fixed cutoff points in assessing the root mean square error of approximation (RMSEA) test statistic as a measure of goodness-of-fit in Structural Equation Models. Using simulation data, the authors first examine whether there is any empirical evidence for the use of a universal cutoff, and then compare the practice of using the point estimate of the RMSEA alone versus that of using it jointly with its related confidence interval. The results of the study demonstrate that there is little empirical support for the use of .05 or any other value as universal cutoff values to determine adequate model fit, regardless of whether the point estimate is used alone or jointly with the confidence interval. The authors' analyses suggest that to achieve a certain level of power or Type I error rate, the choice of cutoff values depends on model specifications, degrees of freedom, and sample size.

Year:  2008        PMID: 19756246      PMCID: PMC2743032          DOI: 10.1177/0049124108314720

Source DB:  PubMed          Journal:  Sociol Methods Res        ISSN: 0049-1241


  3 in total

1.  The Noncentral Chi-square Distribution in Misspecified Structural Equation Models: Finite Sample Results from a Monte Carlo Simulation.

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3.  Comparative fit indexes in structural models.

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  3 in total
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