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={Glenn D. Walters and Robert E. McGrath and Raymond A 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…
34 Citations
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