Deficiency and Delinquency: An Interpretation of Mental TestingMiner, James Burt
Science
Deficiency and Delinquency: An Interpretation of Mental Testing
Miner, James Burt
Children with mental disabilities; Juvenile delinquents; Mentally ill offenders; Psychological tests
The studies of biological traits suggest that a unit of the standard
deviation is the most important measure we have for equivalent degrees
of any trait which distributes normally. It measures the same portion of
the total distance from the lowest to the highest ability on any
objective scale so long as the distribution of measurements is in the
_normal_ form. It thus affords the best interchangeable unit from
measurements at one life-age to those at another, provided that the
distributions keep close to the form of the normal probability curve.
This is the assumption on which practically all the developmental scales
have been based. The difference in ability between an individual at the
average and at -1 S. D. (standard deviation) below the average is
equivalent to that between the last individual and one at -2 S. D. The
same distances along the base line of different distribution surfaces
measured in terms of their respective deviations set off equivalent
portions at each age so long as the distributions are normal. For
example individuals measuring between -2 and -3 S. D. in any
distribution in Fig. 3 are equivalent in ability to those lying between
-2 and -3 S. D. in any other of these normal distribution surfaces.
Later we shall consider equivalent units when the form of the
distribution of ability is not normal or is unknown.
We may now compare the relations of the units in the physical scale,
shown at the left of the figure, to units of the scales for adults or
for the immature of any age, expressed in units of the standard
deviation from the averages of these groups. Relative ability measured
on the physical scale or any one of the distribution scales in Fig. 3
will be found identical since they all start from the same zero point
and the distributions are all normal. But the ability of an individual
in one distribution can hardly be compared with that of an individual in
another distribution in a biologically significant way by their actual
positions on the physical scale. A physical unit, does not measure the
same sort of fact of development in a scale for the immature that it
measures in the scale for adults or that it measures in another dynamic
scale for the immature. This can be seen when a physical unit is
compared with the amount of standard deviation which it measures in the
different scales. Moreover, the correspondence of relative distances on
the physical scale and any one of these other scales will not hold the
moment the distributions do not start from the same point or are
unsymmetrical.
Public-domain text, read in full here on John Shaqi.
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