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Evaluating the MSCEIT V2.0 via CFA: comment on Mayer et al. (2003)

Gilles E Gignac1

  • 1School of Psychology, Deakin University, Burwood, Victoria, Australia. gignac@deakin.edu.au

Emotion (Washington, D.C.)
|June 29, 2005
PubMed

Insights

Reanalysis revealed errors in Mayer et al.

Area of Science:

  • Psychological measurement
  • Statistical modeling in psychology

Background:

  • Critique of confirmatory factor analysis (CFA) in emotional intelligence research.
  • Examination of fit indices (normed fit index, Tucker-Lewis Index, root-mean-square error of approximation) accuracy.

Discussion:

  • Identified substantial errors in previously reported CFA fit indices.
  • Reanalyzed subscale intercorrelation matrix to correct fit index values.
  • Evaluated model fit based on corrected indices, differing from Mayer et al.'s conclusions.

Key Insights:

  • The 1-factor and 2-factor models demonstrated poor fit upon reanalysis.
  • The 4-factor model, while initially appearing to fit well, presented issues.
  • A non-positive definite matrix in the unconstrained 4-factor model indicated factor collinearity.

Outlook:

  • The collinearity of Perceiving and Facilitating factors suggests a 4-factor model is implausible.
  • Highlights the importance of rigorous statistical analysis and reporting in psychological research.
  • Underscores the need for careful interpretation of model fit, especially concerning factor collinearity.

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