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Educability-and-Group-Differences-1973-by-Arthur-Robert-Jensen

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The Heritability of Scholastic Achievement 109<br />

pEs = correlation between school environmental influences<br />

on persons A <strong>and</strong> B<br />

E2p = family ‘environmentability’ (i.e., proportion of test<br />

score variance attributable to environmental differences<br />

among families)<br />

E2S = school ‘environmentability’ (i.e., proportion of test<br />

score variance attributable to variability in schooling).<br />

If the paired individuals are genetically unrelated, <strong>and</strong> were not<br />

reared in the same family, <strong>and</strong> have not attended the same classes<br />

in school (or the same or similar schools), then pG, pEe, <strong>and</strong> pEs<br />

will all be zero <strong>and</strong> rAB will be zero. Values of rAB greater than zero<br />

can be due to any combination of the values of the several components<br />

given in the above formula.<br />

If now we have obtained sibling correlations (rs) in two subpopulations,<br />

1 <strong>and</strong> 2, <strong>and</strong> if we assume that (a) the genetic correlation<br />

of siblings is the same in both subpopulations, (b) the<br />

heritability (h2) is the same in both groups, <strong>and</strong> (c) the school<br />

influences are the same for both subpopulations, then the difference<br />

between the sibling correlations in the two subpopulations should<br />

be an estimate of their difference in proportion of test variance<br />

attributable to the (between) family environmental effects, i.e.,<br />

r sl ~ r S2= :(rEF l^ F l ~ P E F 2^ F 2<br />

The value PepEv, of course, tells us nothing about the quality or<br />

direction (poor v. good) of the family environmental influences. It<br />

merely estimates the proportion of sib correlation attributable to<br />

this source. And rst —rSi estimates how much two subpopulations<br />

differ in pEf.Ej, i-e., family environmental influences on scholastic<br />

achievement.<br />

I have obtained sibling correlations (intraclass riy using all the<br />

school-age siblings in each family) on large samples of white <strong>and</strong><br />

Negro children in a California school district. The sample sizes<br />

on which the sibling correlations are based represent virtually all<br />

the siblings in the elementary school district (fourteen schools)<br />

who had taken either the same tests or sufficiently similar tests to<br />

permit intercorrelation.<br />

All of the tests were administered <strong>by</strong> a staff of specially trained<br />

testers in order to maximize uniformity of testing procedures. The<br />

raw test scores (as well as measures of height <strong>and</strong> weight) were<br />

converted to normalized st<strong>and</strong>ard scores within each 6-month age

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