The accomplishment ratio : $b A treatment of the inherited determinants of disparity in school productFranzen, Raymond
Science
The accomplishment ratio : $b A treatment of the inherited determinants of disparity in school product
Franzen, Raymond
Ability -- Testing; Educational psychology; Educational tests and measurements
In Table 12 are presented the Subject Ratios in the same order as the
Quotients appear in Table 1.[15] There plainly is a rapid rise of SQ⁄IQ
from period to period, excluding all pupils who did not take all tests
and excluding Grade III; which includes all children taking all tests who
were in school in June, 1920, and were Grade IV and above in November,
1918. The average AccR is 98.24 in November, 1918, and 102.78 in June,
1920. The average IQ for these children is 105.22. The S.D_{AccR₁₉₁₈} is
11.17; the S.D._{AccR₁₉₂₀} is 9.09; the S.D._{IQ} is 19.24. It is obvious
that the average amount of product per intelligence has increased, that
the range of AccR’s has decreased (which means that factors causing
disparities, other than intelligence, have been removed), and that the
S.D. of the AccR’s is about one half the S.D. of the IQ’s. M’s are about
equal so it is not necessary to use coefficients of variability. The
variability of children, intelligence aside, is only one half what the
variability is otherwise. The correlations when IQ = _X_, AccR₁₉₁₈ = _Y_
and AccR₁₉₂₀ = _S_ and when AccR = average of Vocabulary, Reading and
Completion Ratios, are:[16]
_r__{X.Y.} = -.602
_r__{X.S.} = -.493
_r__{Y.S.} = +.549
The remaining disparity is then due to something which is in negative
correlation with intelligence.
The number of cases here is only 48.
The P.E.’s are then as follows:
P.E._{M} P.E._{S.D.}
_X_ 1.91 1.35
_Y_ 1.11 0.79
_S_ 0.90 0.64
P.E._r__{X.Y.} = .06
P.E._r__{X.S.} = .08
P.E._r__{Y.S.} = .07
The differences between the M’s and between the S.D.’s of our 1918 and
our 1920 AccQ’s; namely, 102.78 - 98.24 = 4.54 and 11.17 - 9.09 = 2.08,
have formed a step in the argument. We must have the P.E.’s of these
amounts in order to establish the reliability of the quantitative indices
we employ:
P.E._{diff} = √P.E._{X}² + P.E._{Y}² - 2 _r__{XY} P.E._{X} P.E._{Y}
P.E._{M₂₀-M₁₈} = 0.94
P.E._{S.D.₁₈-S.D.₂₀} = 0.47
These differences are then reliable. If the same data were accumulated
again in the same way with only 48 cases, the chances are even that the
4.54 would be between 3.50 and 5.48 and the 2.08 between 1.61 and 2.55.
That there would be positive differences is practically certain, since
the difference between the means is over four times as large as its P.E.,
and the difference between the S.D.’s over four times as large as its P.E.
Public-domain text, read in full here on John Shaqi.
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