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May 1, 1989Psychological Bulletin

Evaluation of goodness-of-fit indices for structural equation models.

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Authors

SMStanley A. MulaikGeorgia Institute of TechnologyLJLarry R. JamesGoogle (United States)JAJudith Van AlstineGeorgia Institute of Technology

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Implication

Randomized trial assesses goodness-of-fit indices in structural equation models, highlighting their limitations.

Key Points

  • The central aim is to evaluate the effectiveness of goodness-of-fit indices in structural equation models, particularly their sensitivity and parsimony.
  • Review of current goodness-of-fit indices for their capacity to assess parsimony and disconfirmability.
  • Discussion of adjustments to goodness-of-fit indices using a parsimony ratio and bias correction in small samples.
  • Evaluation of chi-square statistics and their properties as lack-of-fit indices.
  • Current indices often fail to reflect model parsimony and misspecifications in causal relations.
  • AGFI in LISREL is deemed inadequate for model assessment.
  • Proposed adjustments may yield less biased goodness-of-fit estimates.

Cite This Study

Mulaik et al. (1989) studied this question.

synapsesocial.com/papers/69d9615de6ab964fb0835bachttps://doi.org/10.1037/0033-2909.105.3.430
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