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