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

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

are then expressed as deviates of the normal distribution. In<br />

essence, st<strong>and</strong>ardization is the process of re-scaling raw scores in<br />

terms of the mean <strong>and</strong> st<strong>and</strong>ard deviation of the so-called normative<br />

population. The normative population may or may not<br />

include one or another racial subpopulation. And some normative<br />

samples are more representative of one geographical region or its<br />

racial composition than another. It is possible to obtain separate<br />

norms for whites <strong>and</strong> Negroes, <strong>and</strong> it is possible to have norms<br />

based on the combined groups each represented proportionally<br />

to their frequency in the general population. Various st<strong>and</strong>ardized<br />

tests have used one or another of these methods. The important<br />

point, however, is that it makes absolutely no real difference in<br />

terms of the rank order of individuals or of subpopulations on the<br />

test, <strong>and</strong> it has no effect whatsoever on the predictive validity of<br />

the test, any more than it lowers a patient’s temperature to change<br />

from a Fahrenheit to a Centigrade thermometer. We are simply<br />

assigning different numbers to the same relative differences. For<br />

example, a test st<strong>and</strong>ardized exclusively in the white population<br />

<strong>and</strong> given a mean of 100 <strong>and</strong> an SD of 15 will show a mean of<br />

approximately 85 <strong>and</strong> an SD of 13 when given to a representative<br />

sample of the Negro population. If we st<strong>and</strong>ardize the test in a<br />

combined sample of whites <strong>and</strong> Negroes, represented in the<br />

proportions of their frequencies in the general population of the<br />

United States (approximately 89 percent whites, 11 percent<br />

Negroes), the general mean IQ will still be set at 100 <strong>and</strong> the SD<br />

at 15. But on this scale the Negro mean will be 87-1 <strong>and</strong> the white<br />

mean will be 101-6, for a difference of 14*5 IQ points. But the<br />

percentage of Negroes exceeding the white median (i.e., median<br />

overlap) will remain exactly the same, viz., 14-2 percent. (Median<br />

overlap has this advantage as a measure of group differences - it<br />

is invariant regardless of the scale of measurement.) Thus, it is<br />

apparent that re-st<strong>and</strong>ardizing or re-scaling IQ tests would make<br />

no essential difference in Negro-white comparisons.<br />

Having separate sets of norms for Negro <strong>and</strong> white populations,<br />

each given a mean of 100 <strong>and</strong> SD of 15, could only impair the<br />

predictive validity of the tests when they are used in mixed<br />

populations. This is because intelligence tests st<strong>and</strong>ardized on<br />

whites or on Negroes <strong>and</strong> whites together have the same predictive<br />

validity for Negroes as for whites (see <strong>Jensen</strong>, 1971d <strong>and</strong> Stanley,<br />

1971, for reviews for this evidence). In other words, the tests

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