Sexual selection (defined as the change in genotypic or phenotypic frequenc
ies of mated versus total population frequencies) and sexual isolation (def
ined as the deviation from random mating in mated individuals) show differe
nt evolutionary consequences and partially confounded causes. Traditionally
, the cross-product estimator has been used to quantify sexual selection, w
hereas a variety of indexes, such as Yule V, Yule a YA, joint I, and others
have been used to quantify sexual isolation. Because the two types of esti
mators use different scales, the effects of both processes cannot be monito
red simultaneously. We describe three new related statistics that quantify
both sexual selection (PSS) and sexual isolation (PSI) effects for every ma
ting pair combination in polymorphic traits, as well as measure their combi
ned effects (PTI = PSI x PSS). The new statistics have the advantage of pro
viding information on every mating pair combination, quantifying the effect
s of sexual selection and isolation in the same units, and detecting asymme
try in sexual isolation. The ability of the new statistics to ascertain the
biological causes of sexual selection and sexual isolation are investigate
d under different models involving distinct marginal frequencies, mate prop
ensity, and mate choice coefficients. We also studied the use of classical
isolation indexes applied on PSI coefficients, instead of on raw data. The
use of the classical indexes applied to PSI coefficients considerably reduc
es the statistical bias of the estimates, revealing the good estimation pro
perties of the new statistics.