Corpus ID: 92990505

Taxometric analysis. I: Detecting taxonicity with two quantitative indicators using means above and below a sliding cut (MAMBAC procedure)

@article{Meehl1994TaxometricAI,
  title={Taxometric analysis. I: Detecting taxonicity with two quantitative indicators using means above and below a sliding cut (MAMBAC procedure)},
  author={P. Meehl and Leslie J. Yonce},
  journal={Psychological Reports},
  year={1994},
  volume={74},
  pages={1059-1274}
}
Given two quantitative indicators of a conjectured latent taxon, a statistical function defined as the difference between the observed means for cases of one indicator (designated for the procedure as the «output» indicator) falling above and below a sliding cut on the other indicator (designated as the «input» indicator) indicates whether the latent structure is taxonic or nontaxonic («factorial;» «dimensional»). If it is taxonic, latent parameters, e.g., base rate, hit rates, complement and… Expand
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References

SHOWING 1-10 OF 29 REFERENCES
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