TAXOMETRIC ANALYSIS .1. DETECTING TAXONICITY WITH 2 QUANTITATIVE INDICATORS USING MEANS ABOVE AND BELOW A SLIDING CUT (MAMBAC PROCEDURE)

Authors
Citation
Pe. Meehl et Lj. Yonce, TAXOMETRIC ANALYSIS .1. DETECTING TAXONICITY WITH 2 QUANTITATIVE INDICATORS USING MEANS ABOVE AND BELOW A SLIDING CUT (MAMBAC PROCEDURE), Psychological reports, 74(3), 1994, pp. 1059-1274
Citations number
37
Categorie Soggetti
Psychology
Journal title
ISSN journal
00332941
Volume
74
Issue
3
Year of publication
1994
Part
2
Pages
1059 - 1274
Database
ISI
SICI code
0033-2941(1994)74:3<1059:TA.DTW>2.0.ZU;2-S
Abstract
Given two quantitative indicators of a conjectured latent taxon, a sta tistical function defined as the difference between the observed means for cases of one indicator (designated for the procedure as the ''out put'' indicator) falling above and below a sliding cut on the other in dicator (designated as the ''input'' indicator) indicates whether the latent structure is taxonic or nontaxonic (''factorial,'' ''dimensiona l''). If it is taxonic, latent parameters, e.g., base rate, hit rates, complement and taxon means, can be estimated. Graphs can be inspectio nally sorted with very high accuracy, even by laypersons. MAMBAC (Mean Above Minus Below A Cut) is one of a related family of taxometric pro cedures in Meehl's Coherent Cut Kinetics Method.