Taxometrics, polytomous constructs, and the comparison curve fit index: a Monte Carlo analysis.

@article{Walters2010TaxometricsPC,
  title={Taxometrics, polytomous constructs, and the comparison curve fit index: a Monte Carlo analysis.},
  author={G. Walters and R. McGrath and R. Knight},
  journal={Psychological assessment},
  year={2010},
  volume={22 1},
  pages={
          149-56
        }
}
The taxometric method effectively distinguishes between dimensional (1-class) and taxonic (2-class) latent structure, but there is virtually no information on how it responds to polytomous (3-class) latent structure. A Monte Carlo analysis showed that the mean comparison curve fit index (CCFI; Ruscio, Haslam, & Ruscio, 2006) obtained with 3 taxometric procedures-mean above minus below a cut (MAMBAC), maximum covariance (MAXCOV), and latent mode factor analysis (L-Mode)-accurately identified 1… Expand
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