TAXOMETRIC ANALYSIS .2. DETECTING TAXONICITY USING COVARIANCE OF 2 QUANTITATIVE INDICATORS IN SUCCESSIVE INTERVALS OF A 3RD INDICATOR (MAXCOV PROCEDURE)

Authors
Citation
Pe. Meehl et Lj. Yonce, TAXOMETRIC ANALYSIS .2. DETECTING TAXONICITY USING COVARIANCE OF 2 QUANTITATIVE INDICATORS IN SUCCESSIVE INTERVALS OF A 3RD INDICATOR (MAXCOV PROCEDURE), Psychological reports, 78(3), 1996, pp. 1091-1227
Citations number
38
Categorie Soggetti
Psychology
Journal title
ISSN journal
00332941
Volume
78
Issue
3
Year of publication
1996
Part
2
Pages
1091 - 1227
Database
ISI
SICI code
0033-2941(1996)78:3<1091:TA.DTU>2.0.ZU;2-G
Abstract
Given three quantitative indicators of a conjectured latent taxon: a s tatistical function defined as the covariance of two indicators (desig nated for the procedure as the ''output'' indicators) computed within successive intervals along the third (designated as ''input'') indicat or reveals whether the latent structure of the data is taxonic or not. If it is taxonic, latent parameters (base rate, hit rates, complement and taxon means) can be estimated, the latent distributions drawn, an d subjects assigned to the taxon or the complement group. Several cons istency tests art: described. MAXCOV (MAXimum COVariance) is one of a related family of taxometric procedures in Meehl's Coherent Cut Kineti cs Method.