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

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Environmental Rationalization v. Research 233<br />

which could cause them to question the null hypothesis regarding<br />

genetic differences, or even to reject a particular environmental<br />

factor which has been postulated as a cause of IQ differences<br />

Various environmental factors are constantly repeated in the environmentalist<br />

literature as a cause of IQ differences, even when<br />

studies specifically designed to test these hypotheses have yielded<br />

largely negative results. There seems to be no way for the environmentalist<br />

to give up any hypothesized environmental factor;<br />

regardless of the outcomes of empirical tests, each newly hypothesized<br />

factor is added to the growing list of purported environmental<br />

causes of IQ differences.<br />

The principal environmentalist fallacy consists of looking for any<br />

environmental differences that exist between two subpopulation<br />

groups which differ in mean IQ <strong>and</strong> merely assuming that the<br />

environmental differences are the cause of the IQ difference;<br />

usually it is not even regarded as necessary to demonstrate that<br />

a non-zero correlation between the hypothesized environmental<br />

factor <strong>and</strong> IQ exists within the groups. At least three critical<br />

questions need to be answered about every hypothesized environmental<br />

factor before one can even begin to consider whether it is<br />

a causal factor: (1) Does it correlate with the trait in question within<br />

the two groups being compared (2) How much do the groups differ<br />

on the environmental factors (3) Does the factor make any<br />

significant contribution to within-groups or between-groups variance<br />

in the trait independently of other hypothesized factors As<br />

pointed out in a previous section, one cannot properly assess the<br />

importance of a large number of intercorrelated environmental<br />

factors from the single (zero order) correlations of each one with<br />

IQ. It is each variable’s independent contribution to the multiple<br />

correlation that counts. When major environmental factors fail to<br />

account for IQ differences sufficiently to sustain the environmental<br />

hypothesis, other subtler environmental factors are then postulated,<br />

<strong>and</strong> they may be tested in a new study <strong>and</strong> be found to show some<br />

correlation with the IQ difference. But rarely are they combined<br />

with the variables of the first study to see if they in fact add any<br />

significant increment to the coefficient of multiple determination<br />

(R2). Even if they do, the direction of the causality often remains<br />

an open question which can be answered only <strong>by</strong> evidence other<br />

than correlational data. The pattern of multiple correlations at<br />

best narrows the range of possibilities in seeking the most

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