Monte Carlo Evaluations of Goodness of Fit Indices for Structural Equation Models

David W. Gerbing, James Anderson

Research output: Contribution to journalArticlepeer-review

485 Scopus citations


This article reviews proposed goodness-of-fit indices for structural equation models and the Monte Carlo studies that have empirically assessed their distributional properties. The cumulative contributions of the studies are summarized, and the variables under which the indices are studied are noted. A primary finding is that many of the indices used until the late 1980s, including J¶reskog and S¶rboms (1981) GFI and Bentler and Bonetts (1980) NFI, indicated better fit when sample size increased. More recently developed indices based on the chi-square noncentrality parameter are discussed and the relevant Monte Carlo studies reviewed. Although a more complete understanding of their properties and suitability requires further research, the recommended fit indices are the McDonald (1989) noncentrality index, the Bentler (1990)-McDonald and Marsh (1990) RNI (or the bounded counterpart CFI), and Bollens (1989) DELTA2.

Original languageEnglish (US)
Pages (from-to)132-160
Number of pages29
JournalSociological Methods & Research
Issue number2
StatePublished - Jan 1 1992

ASJC Scopus subject areas

  • Social Sciences (miscellaneous)
  • Sociology and Political Science


Dive into the research topics of 'Monte Carlo Evaluations of Goodness of Fit Indices for Structural Equation Models'. Together they form a unique fingerprint.

Cite this