Journal article

The Search for "Optimal" Cutoff Properties: Fit Index Criteria in Structural Equation Modeling

Sivo S, Fan X, Witta E, Willse J ...see all

The Journal of Experimental Education, vol. 74, issue 3 (2006) pp. 267-288

  • 133

    Readers

    Mendeley users who have this article in their library.
  • 171

    Citations

    Citations of this article.
Sign in to save reference

Abstract

This study is a partial replication of L. Hu and P. M. Bender's (1999) fit criteria work. The purpose of this study was twofold: (a) to determine whether cut-off values vary according to which model is the true population model for a dataset and (b) to identify which of 13 fit indexes behave optimally by retaining all of the correct models while simultaneously rejecting all of the misspecified models in a manner invariant across sample size and data distribution. The authors found that for most indexes the results do not vary depending on which model serves as the correct model. Furthermore, the search for an optimal cut-off value led to a new discovery about the nature of McDonald's measure of centrality and the root mean square error of approximation. Unlike all other indexes considered in this study, the cut-off value of both indexes actually decreases for incorrect models as sample size increases. This may suggest that power calculations are more likely to be optimal when based on those indices.

Get free article suggestions today

Mendeley saves you time finding and organizing research

Sign up here
Already have an account ?Sign in

Find this document

Get full text

Authors

  • Stephen A. Sivo

  • Xitao Fan

  • E. Lea Witta

  • John T. Willse

Cite this document

Choose a citation style from the tabs below

Save time finding and organizing research with Mendeley

Sign up for free