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

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306 <strong>Educability</strong> <strong>and</strong> <strong>Group</strong> <strong>Differences</strong><br />

from kinship correlations on various tests is consistent with this<br />

formulation. For example, st<strong>and</strong>ard IQ tests show quite low<br />

correlations (about 0*25), <strong>and</strong> consequently large IQ differences,<br />

between genetically unrelated (<strong>and</strong> thus dissimilar) children<br />

reared together, <strong>and</strong> show quite high correlations (about 0-80),<br />

<strong>and</strong> consequently small IQ differences, between genetically identical<br />

twins reared apart. On the other h<strong>and</strong>, certain highly cultureloaded<br />

scholastic achievement tests show much less difference,<br />

i.e., rather higher correlations (about 0-50) between unrelated<br />

children reared together <strong>and</strong> lower correlations (about 0‘70)<br />

between identical twins reared apart (<strong>Jensen</strong>, 1968a, Table 1 <strong>and</strong><br />

Figure 1).<br />

Now, if we accept this premise that a test’s culture-loading is<br />

inversely related to its heritability in a given population, let us<br />

examine the consequences of comparing the regression of a<br />

culture-loaded test upon a hypothetical culture-free test, <strong>and</strong> vice<br />

versa, in each of two hypothetical populations, A <strong>and</strong> B. If<br />

differences are found between groups A <strong>and</strong> B, one of three<br />

hypotheses can be invoked to explain the difference: (1) the groups<br />

are genetically equal but differ environmentally; (2) the groups are<br />

environmentally equal but differ genetically; or (3) the groups<br />

differ both genetically <strong>and</strong> environmentally. The consequences<br />

of each hypothesis are shown in Figure 17.3. Our hypothetical<br />

perfectly culture-free or environment-free (meaning h1 = 1) test<br />

measures the genotype, G: the culture-loaded test measures the<br />

phenotype, P. (The phenotypic value, P, is the sum of the genetic<br />

<strong>and</strong> environmental values, i.e., P — G + E.) Assume that the<br />

heritability of the phenotypic measure, P, is 0*80, so the correlation<br />

between genotype <strong>and</strong> phenotype would be the square root of 0-80,<br />

or 0-89. Also assume that the means of the two groups, A <strong>and</strong> B,<br />

differ on the phenotypic measure <strong>by</strong> 1 SD.<br />

Hypothesis 1, then, is the environmental hypothesis. It states<br />

that the mean genotypes of the two groups are either equal (which<br />

includes the hypothesis that the phenotypically lower group is<br />

genetically equal to or higher than the phenotypically higher group,<br />

i.e., Ga ^ Gb) or genotype B is above genotype A, <strong>and</strong> the average<br />

environment of group A is more favorable than that of group B<br />

(i.e., EA>EB). If this hypothesis is true, <strong>and</strong> if h2 is 0-80 in each<br />

group, then the regression of P on G <strong>and</strong> of G on P for groups A<br />

<strong>and</strong> B should appear as shown in Figure 17.3 in the two graphs

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