On the basis of the detailed conception of the developmental curves and
distributions of ability at different ages, which we have been
considering, we can now compare the percentage method with other
quantitative methods of describing the borderline on developmental test
scales.
A. DIFFERENT FORMS OF QUANTITATIVE DEFINITIONS
The earliest form of the quantitative description of the borderline on a
scale of tests, was in terms of a fixed unit of years of retardation.
This was taken over apparently from the rough method of selecting school
children to be examined for segregation in special classes by choosing
those who were two or three grades behind the common position for
children of their ages. As this amount of school retardation was greater
for older children, an additional year of retardation was required after
the child had reached 9 years of age. I believe that nobody would
seriously defend a practice of making an abrupt turning point of this
kind, except on grounds of practical convenience. The theory of stating
the borderline in terms of a fixed absolute unit of retardation is so
crude that it has now been generally superseded by methods which make
the amount of retardation a function of the age.
In order to relate the definition to the age of the child, at least
during the period of growth, Stern suggested the “intelligence
quotient,” consisting of the tested age divided by the life-age (_188_).
This has been adopted by Kuhlmann with his revision of the Binet scale
(_139_) and by Terman with the new Stanford scale (_197_). With the
Point scale Yerkes utilized a similar ratio method for stating
borderlines by what he calls a “coefficient of intelligence.” He defines
it as “the ratio of an individual's point-scale score to the expected
score, or norm” (_226_, p. 595). Haines also uses these coefficients,
dividing the individual's score on the Point scale by the average number
of points scored by those of his age (_26_). The difference between the
“quotient” and the “coefficient” seems to be mainly empirical since they
are theoretically alike in principle provided the scales by which they
are determined are composed of equal units. Empirically, however, the
units of the point scale would have to be compared with the 0.1 year
units of the Binet scale to determine which showed the greater
uniformity within its own scale. The coefficient has an advantage over
the quotient in that the scale norms for the different ages would
automatically become readjusted with additional data, and that
physiological age norms could be more readily stated if they were ever
available.
The suggestion of defining the borderline of tested deficiency in terms
of a multiple of the standard deviation of ability of children who are
efficient in school was made by Pearson in 1914. Tested inefficients did
not with him include all inefficients, as he recognized other sources of
deficiency. He had previously suggested a scale of mental ability in
units called “mentaces”, 100 of which were equivalent to a unit of the
standard deviation of all ability assumed to be normally distributed. On
this scale of mentaces the imbeciles were 300 mentaces or more below
average ability and would be expected to occur once among 1000
individuals chosen at random. Very dull, including some mentally
defective individuals, were also to be found from 208 to 300 mentaces
below the average (_166_, p. 109). Defining the borderline in terms of
the deviation of a normal population was definitely forecasted by
Norsworthy, although she did not specifically discuss the problem of the
borderline. She indicated that if children tested below -5 P.E., they
might be regarded as outside the normal group.
The following quotation from Pearson will make the method of stating the
borderline in terms of a multiple of the deviation clearer:
“Now the question is, what we mean by a 'special or differentiated
race': I should define it to mean that we could not obtain it by any
selection from the large mass of the normal material. Now in the
case of the mentally defective, we could easily obtain children of
their height, weight, and temperature among the normals. We could,
out of 50,000 normal children, obtain children practically with the
same powers of perception and memory as the feeble-minded, as judged
by Norsworthy's data. But not out of 50,000, nor out of 100,000
normal children, could we obtain children with the same defect of
intelligence as some 50% of the feeble-minded children. In other
words, when the deviation of a so-called feeble-minded child from
the average intelligence of a normal-minded child is six times the
quartile or probable deviation of the group of normal children of
the same age, it falls practically outside the risk of being an
extreme variation of the normal population. Now six times the
quartile variation is almost exactly four times the standard
deviation or the variability in intelligence of the normal child,
and in the next material I am going to discuss [Jaederholm's], we
have shown that the standard deviation in intelligence of the normal
child is just about one year of mental growth” (_164_, p. 35).
With the Jaederholm data obtained in testing children in the regular and
in the special classes in Stockholm by a modified form of the Binet
scale, Pearson found that a year of excess or defect in intelligence was
practically a uniform unit from 7 to 12 years of age and was about
equivalent to the standard deviation of normal children measured in
these year units. He, therefore, uses a year unit and the standard
deviation as interchangeable for these data. He does not, however,
always make it clear whether he means that the equivalence of the year
units is determined by the standard deviation of the children of all
these ages grouped together in one distribution, as it is in determining
the regression lines, or by the equivalence of the standard deviations
of the separate ages, especially when these two deviations are not equal
in terms of the year units on the scale. I shall assume, however, that
he would use the deviations of the separate years in case of such an
inequality of the two concepts.
The quotation from Pearson, which we have given above, indicates that he
would determine the borderline on the scale by the standard deviation of
'normal' children. In his case he actually used children who were
efficient in school, as contrasted with those in special classes. On the
other hand, he argues at length that all mental ability, including that
of the social inefficients, is distributed in the form of the normal
curve (_167_). Under this assumption it is, therefore, little
theoretical change in his position to suppose that the borderline might
be described in terms of the standard deviation of a random sample of
the population. Defining the borderline in terms of a multiple of the
deviation of a random sample at each age thus becomes directly
comparable with the other forms of the quantitative definition,
supposing that all refer to conditions to be found in a completely
random sample. It is in this sense that I shall refer to the method of
defining the borderline in terms of a multiple of the deviation.
The percentage method of defining the borderline seems to have been the
spontaneous natural working out of the problem in the minds of several
investigators. At the same time that I suggested this method in a paper
before the American Psychological Association (_151_) Pintner and
Paterson had prepared a paper suggesting a percentage definition of
feeble-mindedness (_44_) and Terman had worked out his use of the
quotient so that the borderline in terms of the quotient was given
equivalent form in terms of percentage. Nobody, however, seems to have
attempted to work out the details of the method as in the present
monograph.
As a point of detail it is to be remembered that in translating
percentages into terms of the deviation, the size of the group for
which the percentages are determined is important if the groups are
small, since the same percentage lies above slightly different
multiples of the standard deviation with different sized groups. On
this point the reader may see a paper by Cajori and the references
cited there (_86_).
B. COMMON CHARACTERISTICS OF QUANTITATIVE DEFINITIONS
In distinction from qualitative methods of describing the mentally
deficient, all quantitative definitions assume that those of deficient
mentality do not represent a different species of mind; but that they
are only the extreme representatives of a condition of mental ability
which grades up gradually to medium ability. The deficient are not an
anomalous group such as we find with some mental diseases. Except for
the comparatively rare cases of traumatic or febrile origin, the
deficient individual is a healthy individual so far as his nervous
system is concerned, even though his capacity for brain activity is
below that of those who socially survive. They are not as a group
abnormal in the sense of diseased, but only unusual in the sense of
being extreme variations from medium ability in a distribution which is
uninterrupted in continuity. This distinction has been fully discussed
by Goring in his work on _The English Convict_, which those who are
interested in a full mathematical discussion of the significance of
mental deficiency are urged to read.
Schmidt urges that the deficients are qualitatively different in
being “unable to plan”, and then suggests tests which most markedly
bring out this distinction between deficient and normal children
(_178_). As I have said before, however, this seems rather to be a
failure to recognize that such an attempt to find tests which
“qualitatively” distinguish the two groups is only an effort to pick
those tests which best make measurable the differences between
individuals at the extreme of mental ability. As such it is a
valuable contribution to this problem. If it is intended as an
attempt to set up a qualitative distinction in a mathematical or
biological sense, between deficient and passable ability, it seems
to me wholly to fail. As I take it, a “qualitative” distinction with
Schmidt is only a bigger quantitative distinction and is intended
only to mean this.
None of those who advocate quantitative definitions would contend, I
believe, as some of their opponents seem to think, that such definitions
afford a final diagnosis for particular cases. In attempting to place
the borderlines on a scale of tests, this is always done with the clear
recognition that such borders are _only symptomatic of deficiency_. The
diagnosis of “social inefficiency,” to use Pearson's term, rests upon
many facts among which the test result is only one, albeit the most
important.
Other characteristics which each of the above quantitative definitions,
except that of a constant absolute amount of deficiency, have in common,
or might easily have if they were stated in their best forms, include
the possibility of adaptation to any developmental scale, the suggestion
of borderlines for both the mature and immature, the distinction of a
group which might be regarded as presumably deficient from one that was
of better but doubtful ability and of this from a still better group
which was presumably socially efficient.
Perhaps the most curious and important thing about these definitions is
that they are all substantially identical, except in their terminology
so long as general mental capacity is found to distribute in the form of
the normal probability curve and to extend to absolute zero ability at
each age. This can easily be seen by comparing the distribution curves
in Fig. 3. The position of the percentage borderline would always
represent the same distance from the average in terms of the standard
deviation of each age and the same ratio when the life-age of arrest of
development had been determined as the largest divisor. Under these
conditions, therefore, these main statements of the quantitative
definition agree in supposing that the same proportion of the
individuals of each life-age would test deficient. Those who advocate
any of these quantitative definitions logically commit themselves to
assuming that the percentage of deficients at each age is practically
constant, unless they suppose the symmetry of distribution varies or
does not extend to the same zero point.
If the distributions do not extend to the same zero points of lowest
ability on an objective scale (see Fig. 5), the ratio is clearly at a
disadvantage compared with either of the other methods, since it assumes
that the same percentage of average ability is an equivalent measure.
This does not hold when the lowest ability at different ages is not at
the same point on the scale of objective units. For example, .7 of an
average 100 units above 0 is not equivalent to .7 of an average 150
points above a zero ability of 30 points on the objective scale. The
idea of regarding percentages of averages as equivalent is therefore
generally avoided in mental measurement. In case the position of the
absolute zero points of ability may be different, the distance from the
average should be stated in terms of the deviation. In this respect the
method of the deviation or the lowest percentage are equally good so
long as the form of distribution does not change.
C. PRACTICAL ADVANTAGES OF THE PERCENTAGE METHOD
1. With the percentages fixed at the lowest 0.5% as presumably deficient
and the next 1.0% doubtful, these borderlines for tested deficiency have
the advantage of being more conservative than those at present
advocated. On the basis of our empirical knowledge this is an important
reason for urging borderlines on the scales at least as low as those
suggested herein. Disregarding the extremely high borderlines which have
fallen into disuse, we still find that social deficiency is often
presumed for those testing above the lowest 1%. With the new Stanford
scale, Terman presumes “definite feeble-mindedness” below an
Intelligence Quotient of .70, below which he finds that 1% of 1000
unselected children fell. I Q's from .70 to .80 would include his
uncertain group, which he describes as “border-line deficiency,
sometimes classified as dullness, often as feeble-mindedness” (_57_, p.
79). His tables show 5% below an I Q of .78. We have no results with a
_random_ group of adults by which to judge how many would be below these
borders. When the I Q has been applied to scores with other scales a
larger percentage has often been found to be excluded. Fernald has shown
that Haines' suggestion of a coefficient of .75 with the Point scale
would exclude 16% of 100 Cincinnati girls selected at random from among
those who left school at 14 years to go to work (_16_).
Unless the examiner wishes to assume that social inefficiency is more
frequent than it has been demonstrated by the practical tests of life,
the success of those who have low quotients should make him exceedingly
cautious about accepting the various borderlines which have been
suggested by those who have not tested their criteria by the percentage
method. It is not merely that the borderlines should be lowered, but
that they should be lowered under some consistent plan so that we should
know as much as is possible about their significance in the prediction
of ultimate social inefficiency, and that we should be able to readjust
them on the basis of new data or to new scales.
With the Point scale Yerkes and Wood say regarding “the coefficient of
intelligence .70, which we accept as the upper limit of intellectual
inadequacy or inferiority”: “Our data indicate that grades of
intellectual ability measured by the coefficient .70 or less are
socially burdensome, ineffective, and usually a menace to racial
welfare” (_226_). With the most reliable part of their data, that for
children from 8-13, this coefficient excludes the lowest 8.39%.
Moreover, the lowest group for which they suggest a borderline, the
dependents, falls at .50 or below and includes 1.05%.
2. A second practical advantage of the percentage borderlines on the
scale is that they make no assumption as to the uniformity of the norms
for the different ages. Except for the Stanford and the Jaederholm
scales, there is little evidence that the age norms exclude equivalent
portions of the children at the different life ages.
Goddard's Table I gives the data from which the following percentages of
those who pass the norm are calculated, not counting those above 11
years, since the older groups are clearly affected by selection:—5 yrs.,
88%; 6 yrs., 79%; 7 yrs., 81%; 8 yrs., 51%; 9 yrs., 60%; 10 yrs., 73%;
11 yrs., 44%. Kuhlmann's figures when using his own revised scale with
public school children including the seventh grade, are:—6 yrs., 100%; 7
yrs., 95%; 8 yrs., 90%; 9 yrs., 87%; 10 yrs., 81%; 11 yrs., 80%; 12
yrs., 57%. It is clear that any change in the test norm from age to age
must disturb the quotient which is based on these norms, although it
would not affect the intelligence coefficient with the Point scale.
3. A third advantage of the percentage method arises from the fact that
we cannot presume that the same ratio in terms of the scale units will
exclude the same degrees of ability at different ages even when the
norms for these ages are properly adjusted. The earlier results with the
Stanford revision show a large variation as to the percentage excluded
by the same I Q at different ages. For example, an I Q of .76 would have
shut out 1% of 117 non-selected 6-year-olds, 2% of 113 9-year-olds and
7% of 98 13-year-olds. The lowest 1% of the last group was below a
borderline of .66 (_197_).
With widely varying norms of the other scales, the I Q borderlines show
much greater variation. In a recent review of the evidence, including
Descoudres' report (_96_) on retesting the same children for several
years Stern recognizes that an I Q index is not constant after 12 years
(_187_). Doll records decided changes in quotients for the same
individual at different ages (_99_). So far as the 1908 scale is
concerned, using Goddard's data, our Table V shows that at five years of
age the lowest 1.8% would fall at or below a quotient of .40, at eight
years the lowest 1.9% would show a quotient of .62 or less, and at 15
years the lowest 2.8% fall below a quotient of .75. The rough tentative
approximation of scale limits which I have suggested for the lowest 1.5%
shows that a series of quotients for children from 5 to 15 years of age
would be below .75 at every age and below .65 for half of these ages.
For the presumably deficient group the quotients would be still lower in
order to be as conservative as the borderlines that I have suggested
with the Binet scale as at present standardized.
With the coefficient of intelligence and the Point scale, the Yerkes and
Wood data show that their borderline of .70 excluded 13% of 196 children
8 and 9 years of age, while it excluded only 5% of each of the next two
groups of double ages. With the group of 237 18-year-old Cincinnati
working girls it excluded only 3% (_226_).
The data at present available thus indicate that we should not expect to
find the same ratio at different ages excluding similar percentages. If
the ratios have a value for comparing individuals of different ages,
they seem to fluctuate so decidedly from age to age that they can hardly
be trusted for stating the borderlines of deficiency without empirical
confirmation for each age.
Pearson found that the children of the older ages in the special classes
were more and more deficient, measured in terms of the standard
deviation of the normal group. This shift on the average was four months
of mental age downward for each year of life during the period 7-14
which he studied. It makes uncertain the definition of the borderline in
terms of a constant multiple of the deviation or of a constant quotient,
unless this shift is shown to be due to imperfections of the tests which
can be corrected, or to changes in the selection of the tested groups at
advanced ages.
Pearson's suggestion of -4 S. D. as a borderline with the Jaederholm
data gives some very curious results with the group of children in the
special schools at Stockholm. Under his interpretation at life-ages 8-11
from 0 to 5.2% of the pupils in these classes would be regarded as
deficient, while for life-ages 12-14, 15.2% to 44.4% are beyond -4 S. D.
In passing it is to be noted that if one accepted Pearson's suggestion
that the borderline should be fixed at -4 S. D., in case the
distribution of mental capacity were strictly normal, only four children
in 100,000 would be found deficient, according to the probability
tables.
With the method of the standard deviation it would be necessary either
to show that the deviation was constant in terms of the year units or
else to restate the borderline for different ages in terms of the scale
units. The irregularity of the norms with the Binet scale could also be
allowed for, of course, by stating different quotients for the different
ages, but when this readjustment is required for either the ratio or the
deviation in terms of the scale units, these methods lose all their
advantage of simplicity. Instead of one ratio or one multiple of the
years of deviation, we might have a different statement for each
life-age. With the percentage method there would be only one statement
of the borderline for all ages in terms of percentage, although the
scale positions change which shut out the same lowest percentage.
4. All the quotient methods of defining the borderline encounter a
serious practical difficulty in fixing the borderline for the mature, so
that it will be equivalent to that for the immature. With the Stanford
scale in calculating the quotient for adults, no divisor is used over 16
years. Yerkes and Bridges also think that this is about the time that
the development of capacity ceases. Kuhlmann and others use 15 as the
highest divisor. Wallin objects to either of these ages being used as
the age of arrest of mental development (_15_, p. 67). Both the methods
of the standard deviation and percentage have a similar difficulty, in
that the borderline for the mature has to be empirically determined on a
test scale. In this dilemma, however, the data collected with the random
group of 15-year-olds in Minneapolis and published in the present study,
places the borderline for the mature on either the 1908 or 1911 Binet
scale in a much safer position, so far as empirical data is concerned,
than the borderline for the mature for any other scale. This is true
whether that borderline be then stated in terms of either the quotient
or percentage methods. Translated into terms of the quotient, our
percentage borderlines for the mature with these scales, below X for
presumably deficient and below XI for the uncertain, would amount to
quotients .60 and .66 on the basis of our findings with this random
group of children who have presumably about reached adult development.
Pearson does not attempt to define any borderline for the adults on the
basis of the deviation, since Jaederholm tested only children. Moreover,
this is not possible empirically with our group of 15-year-olds, since
we tested only the lower extreme of this group.
Unfortunately, the borderlines of the mature for the Stanford and other
scales depend upon empirical results obtained not with random groups,
but upon a composite of selected groups of adults built up by the
investigator on an estimate that this combined group represents a random
selection among those with a typical advance in development, an almost
superhuman task. Fortunately the empirical determination of this
borderline for the mature might be improved later by obtaining data on
less selected groups. The clearer significance of the empirical data for
the borderline for the mature which I have presented for the Binet 1908
and 1911 scales from a random group of 15-year-olds seems to be an
important practical advantage. It provides an empirical basis for
judging the implication of test results with adults. It gives adults the
benefit of the doubt if they improve after 15 years of age.
5. Compared as to their popular significance, there is no doubt that the
lowest 0.5% of the individuals of a particular age has very much more
significance to those not familiar with detailed statistical practise
than a coefficient or a multiple of the standard deviation. A statement
that an adult has only the tested ability of a child of 7 years is
certainly much more impressive than his score in other quantitative
terms. It will probably always be desirable, therefore, to supplement
any other method of scoring by a statement of the individual's test age.
D. THEORETICAL ADVANTAGE OF THE PERCENTAGE METHOD WITH CHANGES IN THE
FORM OF THE DISTRIBUTIONS
With our present series of tests, the percentage method will best
provide a concept of the equivalence of the borderlines at different
ages provided the form of the distribution does not remain uniform. I
discussed this question briefly in connection with units of measurement.
In considering curves of development, I assembled some of the evidence
which makes the assumption of normal distribution or even of a constant
skewness at least uncertain. In my opinion the weight of the evidence is
against the hypothesis that the distributions retain a constant form
during the period of development. If this were clearly demonstrated,
both the ratio methods and deviation would fail to express equivalent
borderlines for the different ages with the Binet scales. A fixed
multiple of the standard deviation or a fixed quotient would exclude
different percentages of the population at each age when the skewness
varied. By reference to Figures 3 and 5, it can be seen that, if our
physical units in which we expressed the measurement were uniform and
ability always extended to the same absolute zero point, it is true that
.01 of the physical units reached by the best at each age would be the
same relative amount of ability of the best at each age, stated in
physical units, _regardless of the form of the distributions_. Such a
concept, however, has an unknown biological or social significance so
far as I can see, except for a constant form of distribution. The same
relative physical score compared with the highest at each age,
theoretically might exclude the lowest 40% of one age group, for
example, and only 10% of another group provided the distribution varied
enough in form. The concept of the same relative amount of ability
measured in physical units, so soon as the form of distribution varies
from age to age, thus loses significance in terms of the struggle for
existence. In that struggle, a vital question is—do the individuals at
different ages have to struggle to overcome the same relative number of
opponents of better ability at their age? If they do, the individuals
might properly be regarded as in equivalent positions in the struggle
for social survival, disregarding how far the next better individual is
above them on the objective scale. This is the concept accepted by the
percentage definition of the borderline as the best available under
uncertain forms of distribution.
The recent rapid perfection of objective scales to measure educational
products, like ability in handwriting, etc., in equal units running to
an absolute zero of ability, suggests that it might be possible
ultimately to state the borderline of deficiency in terms of the same
relative objective distance between the best and zero ability at each
age on a scale of general ability. This ideal could be approached, for
example, with the Sylvester form-board test in which the units are
seconds required to complete the same task, if we could agree upon a
maximum number of seconds without success which should mean no ability,
and if this zero should remain the same at each age. It would only be
necessary to take, for example, the best position or the median or the
upper quartile at each age as the other point of reference. We could
then say that a borderline in physical units was always, for example,
.01 of the median record at each age above zero. Such a method would
provide relatively equal objective borderlines at each age and it would
afford a measure which would take into account the ability of the
individuals to be competed against instead of merely counting them as
the percentage method must. It would be better than a description in
units of the standard deviation in that its significance would be more
easily understood if the form of distribution varied with age.
To demonstrate its worth, however, this method of defining the
borderline in terms of _the same proportion of the physical difference
between zero and the median at each age_, would also have to provide a
better prediction of ultimate social failure. It would have to be shown
that individuals below the relative objective borderline at maturity
were below the same relative objective borderline during immaturity.
Moreover, it would have to be shown that this relationship was closer
than it would be with percentile records. It is a form of this relative
objective measurement which Otis advocates in his “absolute intelligence
quotient,” which he proposes as logically the best measure of ability.
It consists of the ratio of the score of the individual measured in
equal absolute units of intelligence, divided by his age (_163_).
While a relative objective borderline might under certain circumstances
afford a better criterion than the same lowest percentage of
individuals, there are two very serious practical difficulties which at
present make it impossible. In the first place, with the exception of a
few motor tests, there are no test results with children of different
ages measured in terms of equal objective units for the same task. Even
if the Binet year units are equal, as applied to the same task, there is
no accurate means of dividing the year units into smaller physical units
on the basis of scores with the tests. This makes the use of the Binet
scale impossible and we should be forced back upon such tests as the
form-board, the ergograph, etc., for which we should have to agree upon
an absolute zero of ability. Moreover, mental tests do not lend
themselves to measurement in terms merely of rapidity in doing the same
task or in terms of other equal physical units since the quality of the
work also has to be evaluated and this is usually done in units assumed
arbitrarily to measure equivalent degrees of perfection.
The second practical difficulty which at present makes a relative
objective borderline impossible is that we know nothing as to the
prediction of social failure and success from relative positions on the
objective scale used even with the few isolated tests that might be made
available. Until we have data on this question, as well as scales of
tests for native ability that are measurable to zero ability in
objective terms, the percentage method affords the only available way of
stating equivalent borderlines when the form of distribution changes.
If the age of arrest of development shifts either earlier or later with
different degrees of capacity, then there seems to be no logical escape
from a change in the form of distribution. Stern recognized this when he
concluded that idiots reach an arrest of development earlier than those
better endowed, so he stated that his quotient would not hold for them.
He said:
“The feeble-minded child, it must be remembered, not only has a
slower rate of development than the normal child, but also reaches a
stage of arrest at an age when the normal child's intelligence is
still pushing forward in its development. At this time, then, the
cleft between the two will be markedly widened.
“From this consideration it follows that the mental quotient can
hold good as an index of feeble-mindedness only during that period
when the development of the feeble-minded individual is still in
progress. It is for this reason that there is no use in calculating
the quotient for idiots, because, in their case the stage of
arrested development has been entered upon long before the ages at
which they are being subjected to examination” (_188_).
Perhaps the most interesting characteristic of the percentage method is
that it automatically adjusts itself to any form of distribution. In
case the distributions of ability turn out to be normal for each age and
the arrests of development for different degrees of ability distribute
alike, then the borderline fixed by the percentage method becomes
identical with the corresponding borderlines by the quotient, deviation,
or relative objective distance. It can be directly translated into a
quotient or a multiple of the standard deviation. This fact affords a
good check upon the empirical borderlines fixed by the percentage method
for different ages. If the distribution is normal, the lowest 1.5% and
0.5% would be identical with -2.17 S. D. and -2.575 S. D. in samples of
10,000 cases. We may check these percentage borderlines by Goddard's
results for ages 5-11 tested with the 1908 Binet scale. I have given the
standard deviation for the ages 5-11 with this data in Chap. XIII a, 2.
Applying the criterion of 2.575 S. D. to these deviations, we find that
to be in the lowest 0.5%, if the distribution were normal, would be
about a year less of deficiency than we have suggested, while Pearson's
borderline of -4 S. D. would be close to that we suggest. The empirical
data thus suggest that the assumption of a normal distribution is faulty
at the borderline or else Goddard's data is incorrect for fixing the
limits on the scales. I have already given the evidence for supposing
that the distribution is skewed during the years of growth.
When approximately random samples are not available, a multiple of the
deviation of an efficient group such as -4 S. D. at the particular age
seems to afford a practical way of discovering a tentative borderline
until a random sample can be measured. The serious theoretical
objections to such a procedure as a regular method is that the efficient
group would be selected by the subjective standard of somebody's opinion
and that the form of distribution of ability may vary from age to age.
Recalling the practical advantages of the percentage method which we
enumerated in the preceding section, we can now better understand the
value of a method that is not disturbed by the form of distribution of
mental capacity which may ultimately be found to prevail at different
ages. It is safer at present to assume that the distributions do change
enough in form at the lower end seriously to affect the borderlines of
deficiency as defined by other methods. If, however, the form of
distribution remains uniform, it would first be necessary for those
advocating the use of any of the other quantitative definitions to show
that the units of their scales are equal under some reasonable
hypothesis. A ratio or a deviation statable only in scale units which
are not demonstrably equal is a hazard, with the chances badly weighted
against its reliability. So far as both the Binet and the Point scales
are concerned we have found that the units are not equal. A quotient or
coefficient arrived at by assuming their equality is sure to mean
seriously erroneous fluctuations in the borderlines.
Referring to the percentage method, Yerkes and Wood say: “Frequency of
occurrence is unquestionably a useful datum, which should be presented,
if not instead of, then in addition to, certain other statistical
indices which possess greater scientific value” (_226_). These other
indices require both equal scale units and uniform distributions from
age to age. The ratio and deviation methods fail at present in both of
these particulars, so that it seems necessary to depend upon the
percentage definition of tested deficiency, incomplete as that may be.
This leaves us in the unfortunate situation that the borderline
positions on the scale will have to be stated separately for each age
and will have to be found empirically. Moreover, we shall need to
determine more accurately in what lowest percentage an individual must
test in order reasonably to predict that he will require social care for
the good of himself and society.
As soon as anybody can discover a means of defining the borderline,
which is equally accurate and significant, and which, in addition to
counting the proportion of better individuals to be met in the
competition of life, will also evaluate the distance they are above the
borderline, we all shall be eager to accept this better criterion of
deficiency. A form which it might take is that of relative objective
distance between zero and median ability. If measurable in equal
objective units, this would be independent of the form of distribution
and would improve the quantitative description of equivalent deficiency,
provided that it also forecasted future social failure as well as the
percentage method.
What form of stating the borderline of tested deficiency may ultimately
meet with approval, a verbal definition of feeble-mindedness will never
remain an ideal scientific statement until it finds expression in
quantitative terms.
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-----
Footnote 34:
Additional references on tested delinquents will be found as footnotes
in Chapter VI.
APPENDIX I
TABLE XXI.
TEST RECORDS WITH RANDOM FIFTEEN-YEAR-OLDS
───┬───┬───┬─────┬─────┬──────────────────┬─────┬──────────────────┬──────
No.│Sex│Age│Grade│ │Kuhlmann 1911, all│1911 │Other Kuhlmann or │ 1908
│ │Mo.│ │ │ passed in lowest │Score│Goddard 1908 tests│Score
│ │ │ │ │ age given │ │ passed │
───┼───┼───┼─────┼─────┼──────────────────┼─────┼──────────────────┼──────
1│ F │ 4│ 8 A │XI, │XII 1,2,4,5. XV │XII.4│XI 2. XIII 1 │XIII ⅔
│ │ │ │ │ 1,2,5 │ │ │
2│ M │ 1│ 8 A │XI, │XII 1,2,4,5 │XI.8 │None │XII.0
3│ M │ 10│ 8 A │XI, │XII 1,2,3,4. XV │XII.4│XIII 1 │XIII ⅔
│ │ │ │ │ 1,3,4 │ │ │
4│ M │ 5│ 8 A │XI, │XII 1,2,3,4. XV │XII.2│None │XII.2
│ │ │ │ │ 3,5 │ │ │
5│ M │ 8│ 8 A │IX, │X 2,3,4. XI │XI.4 │IX 2,3,4,5. X │XII.0
│ │ │ │ │ 1,2,3,4. XII │ │ 1,2,4. XI 2 │
│ │ │ │ │ 1,2,3,4. XV 4 │ │ │
6│ F │ 0│ 8 A │XI, │XII 1,2,4. XV 3 │XI.4 │None │XII.2
7│ M │ 0│ 8 A │XI, │XII 1,2,4. XV 1,3 │XII.0│XIII 1 │XIII
8│ F │ 4│ 8 A │XI, │XII 1,2,3,4. XV │XII.4│XIII 1 │XII.2
│ │ │ │ │ 3,4 │ │ │
9│ M │ 9│ 7 A │XI, │XII 1,2,3. XV 1,3 │XII.0│XI 2, XII 3. XIII │XI.6
│ │ │ │ │ │ │ 1 │
10│ M │ 10│ 8 A │XI, │XII 1,2,4. XIII 1 │XI.8 │XI 2. XII 3 │XII.0
11│ F │ 0│ 5 B │IX, │X 2,3,4. XI 2,3. │X.8 │IX 2,3,4,5. X │XII.0
│ │ │ │ │ XII 1,2,4,5 │ │ 1,2,4. XI 2 │
12│ M │ 11│ 6 B │VIII,│IX 2,3,4,5. X 2,4.│IX.6 │VIII 1,5. IX │X.0
│ │ │ │ │ XI 3. XII 1 │ │ 2,3,4,5. X 1. XI│
│ │ │ │ │ │ │ 2 │
13│ F │ 10│ 7 A │XI, │XII 2,3,4. XV 2? │XI.9 │XI 2. XV 1? │XII.2
14│ M │ 11│ 7 A │XI, │XII 1,2,3,4 │XII.0│XI 2. XV 1? │XII.0
15│ F │ 4│ 7 A │XII, │XV 2,3 │XII.6│XV 1. │XIII.0
16│ M │ 8│ 7 A │XII, │XV 1 │XII.2│None │XII.0
17│ F │ 8│ 8 B │X, │XI 2,3,4. XII │XI.4 │X 1.2,4. XI 2 │XII.0
│ │ │ │ │ 1,2,3,4 │ │ │
18│ M │ 3│ 8 B │IX, │X 2,3,4. XI │XI.0 │VIII 1,5. IX │XI.4
│ │ │ │ │ 1,2,3,4. XII │ │ 2,3,4. X 1,2,4. │
│ │ │ │ │ 1,2,5 │ │ XI 2 │
19│ M │ 10│ 8 B │XII, │XV 1,4,5? │XII.5│None │XII.2
20│ F │ 3│ 8 B │XII, │XV 5 │XII.2│None │XII.0
21│ F │ 3│ 8 B │XI, │XII 2,3,4 │XI.6 │XI 2 │XI.4
22│ F │ 11│ 8 B │XI, │XII 2,4,5 │XI.6 │XI 2 │XI.4
23│ F │ 1│ 8 B │XI, │XII 2,3,4,5. XV 3 │XII.4│X 1. XI 2 │XII.2
24│ M │ 2│ 8 A │XI, │XII 1,2,3,4. XV 3 │XII.0│XI 2 │XII.2
25│ F │ 3│ 8 A │XI, │XII 1,2,3,4. XV │XII.4│XII 3 │XII.2
│ │ │ │ │ 1,3,5 │ │ │
26│ M │ 2│ 8 A │XI, │XII 1,2,3 │XI.6 │XI 2 │XI.4
27│ M │ 11│ 6 A │X, │XI 2,3,4,5. XII │XI.4 │VIII 1,3,5. IX │XI.4
│ │ │ │ │ 2,4,5 │ │ 2,3,5. X 1,2,4. │
│ │ │ │ │ │ │ XI 2 │
28│ F │ 8│ 6 A │XI, │XII 2,3,4,5 │XI.8 │XI 2 │XI.4
29│ M │ 4│ 7 B │XI, │XII 2,3,4,5 │XI.6 │XI 2 │XII.0
30│ F │ 1│ 7 B │XI, │XII 2,4. XV 1,3 │XI.8 │XI 2 │XI.6
31│ M │ 7│ 7 B │XI, │XII 1,2,5. XV 3 │XI.8 │XI 2 │XI.6
32│ F │ 4│ 7 A │X, │XI 3,4,5. XII 1,4.│XI.2 │X 1.2,4. XI 2 │XI.0
│ │ │ │ │ XV 1 │ │ │
33│ F │ 0│ 7 A │XI, │XII 1,2,5. XV 1 │XI.8 │IX 2. X 1,2,4. XI │XI.4
│ │ │ │ │ │ │ 2 │
34│ F │ 0│ 8 B │X, │XI I,2,3,4. XII │XI.6 │X 1,2,4. XI 2 │XII.2
│ │ │ │ │ 1,2,4. XV 3 │ │ │
35│ F │ 9│ 8 A │X, │XI 2?,3,4. XII │XI.3 │X 1,2,4. XI 2 │XI.1
│ │ │ │ │ 2,3,5 │ │ │
36│ F │ 8│ 8 A │XI, │XII 1,2,3,4. XV │XII.2│XI 2 │XII.2
│ │ │ │ │ 3,4 │ │ │
37│ M │ 2│ 8 A │XII, │XVI │XII.2│XIII 3 │XII.0
38│ F │ 6│ 8 A │XI, │XII 2. XV 3? │XII.2│None │XII.0
39│ M │ 2│ 8 A │XII, │XV 3,4 │XII.4│None │XII.2
40│ F │ 0│ 8 A │XII, │XV 1,3,5 │XII.6│XII 3. XIII 1 │XIII.0
41│ F │ 7│ 8 B │XII, │XV 2,3,5 │XII.6│None │XIII.0
42│ M │ 11│ 8 B │XI, │XII 2,3,4, XV │XII.4│XI 2 │XIII.0
│ │ │ │ │ 1,2,3,5 │ │ │
43│ F │ 0│ 8 A │XI, │ │XI.0 │XI 2 │XI.0
44│ F │ 1│ 8 B │XI, │XII 1,2,3,4 │XII.0│XI 2 │XII.2
45│ M │ 5│ 8 B │XI, │XII 1,2,3,5 │XI.8 │XI 2 │XI.4
46│ F │ 7│ 8 B │XI, │XII 1,2,3. XV 3 │XI.8 │XI 2 │XI.6
47│ F │ 1│ 8 B │XII, │XV 5 │XII.2│None │XII.0
48│ M │ 7│ 8 B │XII, │XV 1,3 │XII.4│XII 3 │XIII.0
49│ F │ 8│ 7 B │VIII,│IX 2,3,4,5. X │X.0 │VIII 1,5. IX │IX.8
│ │ │ │ │ 2,3,4,5. XI 2,5 │ │ 2,3,5. X 1 │
50│ F │ 0│ 7 A │XI, │XII 1,2,3. XV 1 │XII.0│XIII 1 │XI.6
51│ M │ 11│ 7 A │XI, │XII 2,3,4. XV 2,3 │XII.0│XI 2 │XIII.0
52│ F │ 11│ 8 A │XI, │XII 2,5. XV 5? │XI.5 │XI 2 │XI.2
53│ M │ 4│ 8 A │XI, │XII 1,2,5. XV 4,5 │XII.0│XI 2 │XI.6
54│ M │ 11│ 8 B │XII, │XV 5 │XII.2│None │XII.0
55│ F │ 3│ 7 A │VII, │VIII 2,4,5. IX │IX.4 │VI 2,6. VII3,7. │X.8
│ │ │ │ │ 2,4. X 2,4,5. XI│ │ VIII1,3,5. IX2. │
│ │ │ │ │ 1,2. XII 1,2 │ │ X4, XI2 │
56│ M │ 1│ 8 A │XI │XII 1,2. XV 2,3,5 │XII.0│XI 2 │XI.8
57│ M │ 10│ 8 A │XII, │XV 1,2 │XII.4│XII 2 │XII.2
58│ M │ 0│ 8 A │XI, │XII 2,3. XV 1,3 │XI.8 │XI 2. XII 3. XIII │XI.8
│ │ │ │ │ │ │ 1 │
59│ M │ 0│ 8 A │XI, │XII 1,2,4. XV 5 │XI.8 │XI 2 │XII.2
60│ M │ 11│ 8 A │XI, │XII 1,2,3,4. XV 2 │XII.0│None │XII.2
61│ M │ 0│ 8 A │XII, │XV 1,2,3,4 │XII.8│XI 2. XIII 1 │XIII.0
62│ M │ 0│ 8 B │XI, │XII 1,2,3,4. XV │XII.4│XI 2 │XIII.0
│ │ │ │ │ 2,3,4 │ │ │
63│ F │ 10│ 7 A │XI, │XII 1,4,5. XV 1 │XI.8 │XI 2. XIII 1 │XI.6
64│ F │ 0│ 7 A │XII, │XV 3 │XII.4│None │XII.2
65│ F │ 9│ 8 A │XI, │XII 1,2,3,4. XV │XII.4│XI 2. XIII 1 │XIII.0
│ │ │ │ │ 1,2,3 │ │ │
66│ F │ 7│ 8 A │XI, │XII 1,2,3,5. XV │XII.6│XI 2. XIII 1 │XIII.0
│ │ │ │ │ 1,3,4,5 │ │ │
67│ M │ 3│ 8 B │XII, │XV 2,3,4? │XII.5│None │XIII.0
68│ M │ 4│ 8 A │XII, │XV 2 │XII.2│None │XII.2
69│ M │ 2│ 8 A │XII, │XV 2,3?,4 │XII.5│None │XII.2
70│ M │ 0│ 7 A │XII, │XV 2,4 │XII.4│None │XII.2
71│ F │ 6│ 8 A │X, │XI 1,2,3,4. XII │XI.4 │XIII 1 │XI.6
│ │ │ │ │ 1,2. XV 3 │ │ │
72│ F │ 2│ 8 A │XI, │XII 1,2,3,4. XV │XII.2│XI 2 │XII.2
│ │ │ │ │ 3,4 │ │ │
73│ F │ 10│ 8 A │XII, │XV 1,3,4,5 │XII.8│XIII 1 │XIII.0
74│ F │ 7│ 8 A │XI, │XII 1,2,4,5 │XI.8 │XI 2 │XI.6
75│ F │ 4│ 7 B │XI, │XII 1,2 │XI.4 │XI 2 │XI.4
76│ F │ 2│ 8 B │XI, │XII 1,2,3 │XI.6 │X2. XI 2 │XII.0
77│ F │ 11│ 7 B │X, │XII 1,4,5 │XI.2 │IX 5. X 4. XI 1 │XI.4
78│ F │ 4│ 8 A │XII, │XV 2,3 │XII.4│None │XIII.0
79│ F │ 8│ 8 A │XI, │XII 2,4. XV 3,4 │XI.8 │None │XI.6
80│ F │ 1│ 8 A │XI, │XII 1,2,3,5 │XI.8 │XI 2 │XI.4
81│ M │ 9│ 8 A │XI, │XII 1,2,3,4 │XI.8 │XI 2 │XII.0
82│ F │ 5│ 8 A │XII, │XV 3,4 │XII.4│XII 3 │XII.2
83│ F │ 5│ 8 A │XI, │XV 3,4? │XII.3│None │XII.2
84│ F │ 1│ 6 A │XI, │XII 1,2,4,5. XV 2 │XII.0│XI 2 │XII.2
85│ M │ 3│ 8 A │XV, │ │XV.0 │XIII 1 │XIII.0
86│ M │ 4│ 8 B │XI, │XII 1,2,3,5. XV │XII.2│XI 2. XII 3. XIIII│XIII.0
│ │ │ │ │ 1,2 │ │ │
87│ F │ 4│ 8 A │XI, │XII 1 │XI.2 │XI 2 │XI.2
88│ F │ 5│ 8 A │X, │XI 2,3,4,5. XII │XI.8 │VIII 1,3,5. IX │XIII.0
│ │ │ │ │ 1,2 │ │ 2,3,5. X 1,2,4. │
│ │ │ │ │ │ │ XI 2. XII 3 │
89│ M │ 0│ 8 B │XI, │XII 2,5. XV 1,3,5 │XII.0│XII 3 │XI.4
90│ F │ 0│ 7 A │X, │XI 2,3. XII │XI.9 │IX 2,3,5. X 1,2,4.│XIII.0
│ │ │ │ │ 1,2,4,5. XV │ │ XI 2. XII 3 │
│ │ │ │ │ 1,2,3,4? │ │ │
91│ F │ 6│ 7 A │VIII,│IX 2,3,4,5. X │X.4 │VIII 1,3,5. IX │XI.4
│ │ │ │ │ 2,4,5. XI 1,2,3.│ │ 2,5. X 1,4 │
│ │ │ │ │ XII 1,2 │ │ │
92│ F │ 11│ 8 A │X, │XI 2,3,4. XII 2. │XI.0 │X 1,2,4. XI 2 │XI.4
│ │ │ │ │ XV 3 │ │ │
93│ F │ 0│ 7 B │IX, │X 2,3,4,5. XI 1,5.│X.8 │IX 2,3,4,5. X 1,2.│X.6
│ │ │ │ │ XII 2,3,5 │ │ XI 2 │
94│ F │ 9│ 6 A │IX, │X 2,3,4,5. XI │XI.3 │IX 2,3,4,5. X │XII.1
│ │ │ │ │ 1,3,4,5. XII │ │ 1,2,4. XI 2 │
│ │ │ │ │ 1,2,4. XV 3? │ │ │
95│ M │ 6│ 8 A │X, │XI 1,2,4,5. XII │XII.0│X 1,2,4 XI 2 │XIII.0
│ │ │ │ │ 1,2,3. XV 2,3,4.│ │ │
96│ M │ 10│ 7 A │XI, │XII 1,2,4. XV │XII.2│None │XII.2
│ │ │ │ │ 1,3,5 │ │ │
97│ F │ 6│ 7 B │X, │XI 4,5. XII 2,5 │X.8 │IX 2,3,4,5. X 1,2.│X.6
│ │ │ │ │ │ │ XI 2 │
98│ M │ 1│ 7 A │XI, │XII 1,2,4,5. XV │XII.2│None │XII.2
│ │ │ │ │ 3,4 │ │ │
99│ F │ 1│ 8 A │XI, │XII 1,2. XV 2,3 │XI.8 │None │XIII.0
100│ M │ 0│ 8 A │XI, │XII 2,3,4,5. XV │XII.4│None │XIII.0
│ │ │ │ │ 1,2,3 │ │ │
101│ F │ 3│ 6 A │XI, │XII 1,2,3?,4?,5. │XII.4│None │XI.7
│ │ │ │ │ XV 1,3,4 │ │ │
102│ F │ 3│ 8 A │XI, │XII 1,2,4,5 │XI.8 │None │XII.0
103│ F │ 0│ 8 A │XI, │XII 1,2,5. XV 1,3 │XII.0│XIII 1 │XI.6
104│ M │ 0│ 8 B │XI, │XII 2,3,4. XV 3 │XI.8 │None │XII.2
105│ F │ 10│ 8 A │XI, │XII 1,2,3,4. XV 4 │XII.0│XII 3 │XII.0
106│ F │ 3│ 6 A │XII, │XV 1,3,4,5 │XII.8│XIII 1 │XIII.0
107│ F │ 1│ 8 A │IX, │X 2,4,5. XI │XI.4 │IX 1. X 1,2 │XIII.0
│ │ │ │ │ 2,3,4,5. XII │ │ │
│ │ │ │ │ 1,2,3. XV 2,3 │ │ │
108│ F │ 8│ 8 A │IX, │X 2,3,4,5. XI │XI.2 │IX 2,3,5. X 1,2,4 │XI.2
│ │ │ │ │ 3,4,5. XII │ │ │
│ │ │ │ │ 1,2,5. XV 3 │ │ │
109│ F │ 2│ 8 A │XI, │XII 1,2,4,5. XV 1 │XII.0│None │XII.0
110│ F │ 6│ 7 B │IX, │X 2,3?,5. XI │X.9 │IX 2,3,5. X 2,4. │X.8
│ │ │ │ │ 2,3,4. XII 1,3. │ │ XII 3 │
│ │ │ │ │ XV 1,3 │ │ │
111│ F │ 2│ 6 A │XII, │XV 1,3,4,5 │XII.8│XII 3. XIII 1 │XIII.0
112│ M │ 1│ 5 A │IX, │X 1,2,3,5. XI │X.6 │IX 2,3,4?,5. X │X.5
│ │ │ │ │ 2,3,4. XII 2 │ │ 1,2,4? │
113│ F │ 0│ 6 A │XI, │XII 1,2,3. XV │XII.2│XI 2 │XI.6
│ │ │ │ │ 1,3,4 │ │ │
114│ M │ 8│ 8 A │XII, │XV 1,3,5 │XII.6│XIII 1 │XIII.0
115│ F │ 8│ 8 A │XI, │XII 1,2,3,4. XV 3 │XII.0│XIII 1 │XII.2
116│ M │ 2│ 7 B │XI, │XII 2,3,5 │XI.6 │XI 2. XII 3 │XI.4
117│ F │ 5│ 8 B │XI, │XII 1,2,4,5 │XI.8 │XIII 1 │XI.6
118│ M │ 0│ 7 A │XII, │XV 1,2 │XII.2│None │XII.2
119│ F │ 9│ 8 A │XV │ │XV.0 │None │XIII.0
120│ F │ 9│ 8 B │XI, │XII 1,2,3,4. XV 3 │XII.0│XI 2 │XII.2
121│ M │ 4│ 7 B │XII, │XV 1,5 │XII.2│XII 3 │XII.4
122│ F │ 3│ 8 A │XII, │XV 4,5 │XII.4│None │XII.0
123│ M │ 5│ 8 B │XII, │ │XII.0│None │XII.0
124│ M │ 1│ 8 A │XII, │XV 3,4 │XII.0│None │XII.0
125│ M │ 8│ 6 A │X, │XI 1,2,3,4. XII │XII.4│None │XII.2
│ │ │ │ │ 2,4 │ │ │
126│ M │ 8│ 8 A │XI, │XII 2,4. XV 2,3,4 │XI.2 │X 1,2,4. XI 2 │XIII.0
127│ F │ 4│ 8 A │XI, │XII 2,4. XV 3,4 │XII.0│XI 2 │XI.8
128│ F │ 9│ 8 A │X, │XI 1,3,4,5. XII │XI.8 │X 1,2,4. XI 2. XII│XII.2
│ │ │ │ │ 1,2,3,4. XV 3 │ │ 3? │
129│ F │ 10│ 7 A │XI, │XII1,2,3,5. XV 3,5│XII.2│XI 2 │XI.6
130│ F │ 4│ 7 B │XI, │XII 1,2,3. XV 3 │XI.8 │None │XI.6
131│ M │ 3│ 7 A │VII, │VIII 1,3,5. IX │X.5 │VII 3,4,7. VIII │XI.4
│ │ │ │ │ 1,2,3,4. X │ │ 1,3,5. IX │
│ │ │ │ │ 2,3,4,5. XI │ │ 2,3,4,5. X 2,4. │
│ │ │ │ │ 1,4,5. XII │ │ XIII 1 │
│ │ │ │ │ 1,2,3. XV 4? │ │ │
132│ F │ 3│ 7 B │VIII,│IX 1,2,3?,4,5. X │XI.2 │IX 1,2. X 2,1,4. │XII.
│ │ │ │ │ 1,3,4?,5. XI │ │ XI 2? XII 3 │
│ │ │ │ │ 1,3,4,5. XII │ │ │
│ │ │ │ │ 1,2,3,4 │ │ │
133│ M │ 7│ 7 A │XI, │XII 1,2,3,5 │XI.8 │None │XI.6
134│ M │ 1│ 8 B │VIII,│IX 1,2,3,4. X │XI.6 │IX 2,3,4,5. X │XIII.0
│ │ │ │ │ 1,2,3,4. XI │ │ 1,2,4. XI 2 │
│ │ │ │ │ 1,2,3,5. XII │ │ │
│ │ │ │ │ 2,3,4. XV 2,3 │ │ │
135│ F │ 1│ 8 A │X, │XI 2,3,4,5. XII │XII.0│X 1,2,4. XI 2 │XII.2
│ │ │ │ │ 1,2,4. XV 3,4,5 │ │ │
136│ F │ 5│ 8 A │XI, │XII 1,2,3,4?. XV │XII.5│XI 1. XII 3. XIII │XIII.0
│ │ │ │ │ 1,3,4,5 │ │ 1 │
137│ M │ 6│ 8 I │XI, │XII 2. XV 2 │XI.4 │XI 2 │XI.4
138│ F │ 4│ 8 A │XI, │XII 1,4,5. XV │XII.2│XI 2 │XI.6
│ │ │ │ │ 1,3,4 │ │ │
139│ M │ 3│ 8 A │XII, │XV 1,3 │XII.4│None │XII.2
140│ M │ 4│ 8 A │XI, │XII 1,2,3. XV 3 │XI.8 │XI 2 │XI.6
141│ F │ 7│ 7 A │X, │XI 2,3,4,5. XII │XI.6 │X 4. XI 2 │XIII.0
│ │ │ │ │ 2,5. XV 2,3 │ │ │
142│ M │ 0│ 8 A │XII, │XV 3,4,5 │XII.6│None │XII.2
143│ F │ 2│ 5 A │X, │XI I,2,3. XII 5 │X.8 │X 1,2,4. XI 2 │XI.0
144│ M │ 8│ 8 A │XII, │XV 2,3,5 │XII.6│None │XIII.0
145│ F │ 11│ 8 B │XII, │XV 3 │XII.2│None │XII.2
146│ M │ 10│ 8 A │XV │ │XV.0 │XIII 1 │XIII.0
147│ F │ 2│ 7 B │XI, │XII 1,2,4,5. XV │XII.2│XI 2 │XII.2
│ │ │ │ │ 3,5 │ │ │
148│ F │ 7│ 8 A │XI, │XII 1,2,3,5. XV │XII.2│XI 2 │XI.6
│ │ │ │ │ 3,5 │ │ │
149│ M │ 0│ 8 B │XII │ │XII.0│None │XII.0
150│ F │ 4│ 8 A │XI, │XII 2. XV 3,5 │XI.6 │XI 2 │XI.4
151│ F │ 7│ 8 A │XI, │XII 1,2,3,4. XV 3 │XII.0│XI 2 │XII.2
152│ F │ 5│ 8 B │XI, │XII 2,3,4,5. XV │XII.2│XI 2. XIII 1 │XIII.0
│ │ │ │ │ 1,3 │ │ │
153│ M │ 2│ 8 A │XII, │XV 2,3,4,5 │XII.8│None │XIII.0
154│ F │ 0│ 4 B │VIII,│IX 2,3,4,5. X 1 │IX.0 │VII 3,4,7. VIII │IX.0
│ │ │ │ │ │ │ 1,3. IX 2,5. X 4│
155│ M │ 7│ 7 A │XI, │XII 2,5 │XI.4 │XI 2 │XI.2
156│ M │ 6│ 8 B │XII, │XV 3 │XII.2│None │XII.2
157│ F │ 0│ 8 A │XII, │XV 1,3 │XII.4│XII 3. XIII 1 │XIII.0
158│ M │ 2│ 8 B │XII, │XV 1,2,3,4 │XII.8│XII 3 │XIII.5
159│ F │ 1│ 7 B │X, │XI 1,2,3,4. XII │XI.6 │X 1,2,4. XI 2 │XII.0
│ │ │ │ │ 1,2,4 │ │ │
160│ F │ 6│ 8 B │XII, │XV 3,5 │XII.4│None │XII.2
161│ M │ 1│ 8 A │XII, │XV 1 │XII.2│XII 3. XIII 1 │XII.2
162│ F │ 4│ 8 A │XII │ │XII.4│XII 3?. XIII 1 │XII.2
163│ F │ 6│ 8 B │XI, │XII 1,2,3,4. XV │XII.2│None │XII.2
│ │ │ │ │ 3,4 │ │ │
164│ F │ 10│ 8 A │XI, │XII 1,2,5 │XI.6 │XI 2 │XI.4
165│ M │ 8│ 8 A │X, │XI 1,2,3. XII │XI.4 │VIII 1,3,5. IX │XI.4
│ │ │ │ │ 2,3,4,5 │ │ 2,3,4,5. X 1,4. │
│ │ │ │ │ │ │ XI 2 │
166│ F │ 1│ 7 A │X, │XI 3,4,5. XII │XI.8 │X 1,2,4. XI 2 │XII.2
│ │ │ │ │ 1,2,3,4. XV 1,3 │ │ │
167│ M │ 8│ 6 B │XI, │XII 2,3 │XI.8 │XI 2. XII 3 │XI.6
168│ M │ 10│ 6 A │X, │XI 1,3,4,5. XII │XII.0│X 1,2,4. XI 2 │XI.6
│ │ │ │ │ 1,2,3,5. XV 2,5 │ │ │
169│ M │ 10│ 6 B │XI, │XII 1,4?,5. XV 2? │XI.6 │XI 2 │XI.4
170│ M │ 10│ 8 A │XI, │XII 3,4,5. XV 5 │XI.8 │None │XI.4
171│ M │ 1│ 8 A │XII, │XV 2,4 │XII.4│None │XII.2
172│ M │ 3│ 8 A │X, │XI 2,3,4. XI │XI.4 │X 1,2,4 │XII.0
│ │ │ │ │ 1,2,3,4 │ │ │
173│ F │ 4│ 8 A │X, │XI 1,3,4,5. XII │XII.2│X 1,2,4. XIII 1 │XII.2
│ │ │ │ │ 1,2,4,5. XV │ │ │
│ │ │ │ │ 1,4,5 │ │ │
174│ F │ 2│ 8 A │XI, │XII 1,2,4,5. XV │XII.2│XII 3. XIII 1 │XIII.0
│ │ │ │ │ 1,3 │ │ │
175│ F │ 4│ 8 A │XI, │XII 1,2,4. XV 1 │XI.8 │XI 2 │XII.2
176│ F │ 4│ 8 A │XI, │XII 1,2,4,5. XV │XII.2│XI 1 │XII.0
│ │ │ │ │ 1,4 │ │ │
177│ M │ 3│ 8 A │X, │XI 1,2,3,4. XII │XI.6 │X 1,2,4. XI 1 │XII.2
│ │ │ │ │ 1,2,4. XV 3 │ │ │
178│ M │ 6│ 8 A │XII, │XV 1,3 │XII.4│XI 2. XII 3?. XIII│XIII.0
│ │ │ │ │ │ │ 1 │
179│ F │ 2│ 8 B │XI, │XII 1,2,3. XV 3 │XII.2│None │XII.2
180│ F │ 2│ 8 B │XII, │XV 1,3 │XII.4│None │XII.2
181│ F │ 2│ 8 B │XI, │XII 1,2,4,5. XV │XII.2│XI 2 │XII.2
│ │ │ │ │ 3,4 │ │ │
182│ F │ 6│ 8 B │XI, │XII 1,2,4,5. XV 3 │XII.0│XI 2 │XII.2
183│ F │ 0│ 8 B │XI, │XII 2,3,4,5. XV │XII.2│None │XIII.0
│ │ │ │ │ 2,3 │ │ │
184│ M │ 5│ 7 A │XI, │XII 4,5 │XI.6 │XI 2 │XI.4
185│ M │ 2│ 7 A │XI, │XII 2,3,4. XV 1 │XI.4 │XI 2 │XI.8
186│ F │ 9│ 7 B │XI, │XII 2,3. XV │XII.1│XI 2 │XIII.0
│ │ │ │ │ 1,2,3,4? │ │ │
187│ M │ 8│ 7 A │XII, │XV 3 │XII.2│XI 2 │XII.2
188│ M │ 2│ 7 B │XI, │XII 1,2,4,5. XV │XII.4│XI 2 │XIII.0
│ │ │ │ │ 1,2,3 │ │ │
189│ M │ 4│ 7 B │XI, │XII 2,3,4,5 │XI.8 │XI 2 │XI.4
190│ M │ 2│ 6 B │XI, │XII 4,5 │XI.4 │IX 2,3,4,5. X │XI.2
│ │ │ │ │ │ │ 1,2,4. XI 2 │
191│ F │ 1│ 7 B │IX, │X 1,2,3,4. XI 3,5.│X.6 │IX 2,3,5. X 1,2,4.│X.6
│ │ │ │ │ XII 4,5 │ │ XI 2 │
192│ F │ 1│ 8 A │XI, │XII 1,2,3,4. XV │XII.2│XI 2 │XII.2
│ │ │ │ │ 1,3 │ │ │
193│ M │ 10│ 8 B │X, │XI 1,2,5. XII │XI.2 │IX 2,3,4,5. X │XI.0
│ │ │ │ │ 2,4,5 │ │ 1,2,4. XI 2 │
194│ M │ 8│ 8 B │XI, │XII 1,2,3,4. XV │XII.2│XI 2 │XII.2
│ │ │ │ │ 1,3 │ │ │
195│ M │ 3│ 7 B │XI, │XII 1,2,3. XV 1 │XI.8 │XI 2. XII 3 │XI.6
196│ F │ 2│ 8 B │XI, │XII 2 │XI.2 │XI 2 │XI.2
───┴───┴───┴─────┴─────┴──────────────────┴─────┴──────────────────┴──────
APPENDIX II
TABLE XXII.
RECORDS OF THE DELINQUENTS AT THE GLEN LAKE FARM SCHOOL OF HENNEPIN
COUNTY, MINN.
───────┬─────────┬────────┬────────┬────────┬──────────────────────────
│Life-Age │ │ Basal │ School │
│ │ │ │ Grade │
No. │Yr. │Mo. │Test-Age│Test-Age│Sept. 1 │ Offense
│ │ │ │ │ of │
│ │ │ │ │Life-Age│
───────┼────┼────┼────────┼────────┼────────┼──────────────────────────
1│ 9│ 10│VIII.8 │VIII[35]│ 3 B│Truancy
[36]2│ 16│ 7│XIII │XIII │ 12 A│Grand larceny
3│ 10│ 1│X.8 │IX[35] │ 3 A│Truancy
4│ 12│ 4│XII │XII │ 4 A│Truancy
5│ 14│ 3│XII.2 │XII │ 7 A│Petit larceny
[36]6│ 14│ 8│XIII │XIII[35]│ 9 B│Assault & battery
7│ 16│ 3│XIII │XIII │ 9 B│Check, no funds
8│ 15│ 7│XIII │XIII │ 7 A│Burglary
[36]9│ 15│ 0│XI.6 │XI[35] │ 8 B│Petit larceny
[36]10│ 9│ 9│IX.2 │VIII │ 2 B│Truancy
[36]11│ 14│ 5│XII │XII │ 9 B│Petit larceny
12│ 12│ 2│XI.2 │XI │ 4 A│Incorrigibility
[36]13│ 16│ 0│XIII │XIII[35]│ 8 A│Petit larceny
14│ 13│ 8│IX.6 │VIII[35]│ 4 B│Breaking & entering
[36]15│ 15│ 10│X.6 plus│X │ 4 A│Incorrigibility
[36]16│ 15│ 9│X.6 │IX[35] │ 5 B│Breaking & entering
[36]17│ 11│ 1│XI.4 │XI[35] │ 5 B│Incorrigibility
[36]18│ 14│ 10│XII.2 │XII │ 5 A│Indecent conduct
[36]19│ 15│ 11│XIII │XIII │ 8 A│Truancy
20│ 13│ 2│VIII.4 │VII │ 3 B│Grand larceny
21│ 14│ 1│XIII │XIII │ 8 B│Petit larceny
[36]22│ 13│ 9│XI.6 │XI[35] │ 6 B│Petit larceny
23│ 11│ 0│XI.2 │XI │ 4 B│Incorrigibility
24│ 16│ 11│XI.6 │XI │ 7 A│Petit larceny
25│ 12│ 6│XI.2 │XI[35] │ 7 B│Truancy
[36]26│ 12│ 9│XI.2 │X │ 4 B│Incorrigibility
───────┼────┴────┼────────┼────────┼────────┼──────────────────────────
│Life-Age │ │ Basal │ School │
No. │Yr. │Mo. │Test-Age│Test-Age│ Grade │ Offense
───────┼────┼────┼────────┼────────┼────────┼──────────────────────────
[36]27│ 11│ 0│X.4 │X │ 5 A│Petit larceny
[36]28│ 15│ 7│XIII │XIII │ 8 A│Truancy
29│ 14│ 9│XII │XII │ 5 A│Truancy
[36]30│ 11│ 11│XII │XII │ 6 B│Truancy
[36]31│ 11│ 4│IX.8 │IX[35] │ 4 B│Truancy
[36]32│ 15│ 7│XII │XII │ 7 │Vagrancy
[36]33│ 13│ 9│XI.4 │XI[35] │ 5 │Grand larceny
[36]34│ 13│ 8│X.8 │X │ 5 A│Petit larceny
35│ 16│ 6│XII.2 │XII │ 8 A│Burglary
[36]36│ 10│ 8│IX.8 │VIII[35]│ 3 B│Incorrigibility
[36]37│ 14│ 10│XI.6 │XI[35] │ 7 B│Grand larceny
[36]38│ 13│ 8│XIII.0 │XIII │ 8 B│Disorderly conduct
[36]39│ 14│ 1│X.8 │X[35] │ 4 B│Truancy
40│ 15│ 2│XI.6 │XI │ 7 B│Petit larceny
[36]41│ 9│ 9│X.2 │X │ 4 B│Truancy
42│ 11│ 5│XI.4 │XI │ 5 B│Incorrigibility
[36]43│ 7│ 8│VII.6 │VII │ 2 B│Petit larceny
[36]44│ 13│ 11│XI.6 │XI │ 8 B│Grand larceny
[36]45│ 15│ 1│XI.6 │XI[35] │ 9 B│Burglary
46│ 13│ 10│XII │XII │ 5 B│Incorrigibility
[36]47│ 10│ 6│IX.2 │IX[35] │ 5 B│Truancy
48│ 14│ 1│X.2 │X[35] │ 6 B│Burglary
49│ 14│ 3│XIII │XIII[35]│ 8 B│Burglary
50│ 14│ 7│XII.2 │XII[35] │ 8 B│Burglary
[36]51│ 13│ 2│XII.2 │XII │ 8 B│Malicious destruction of
│ │ │ │ │ │ property
52│ 13│ 6│X.2 │X │ 7 B│Petit larceny
[36]53│ 13│ 7│XI.6 │XI │ 6 A│Burglary
54│ 14│ 3│XI.6 │XI[35] │ 5 A│Incorrigibility
55│ 6│ 0│VII.8 │VII[35] │ 1 B│Petit larceny
56│ 15│ 0│XII.2 │XII │ 8 B│Incorrigibility
[36]57│ 12│ 0│XI │XI │ 6 A│Petit larceny
[36]58│ 15│ 0│XI.4 │XI[35] │ 7 A│Petit larceny
59│ 15│ 9│X.4 │X[35] │ 6 B│Petit larceny
60│ 15│ 1│XIII │XIII │ 7 A│Petit larceny
[36]61│ 11│ 3│XI.4 │XI │ 4 A│Truancy
62│ 12│ 0│XI │X │ 3 A│Truancy
[36]63│ 15│ 3│XIII │XII I │ 8 B│Petit larceny
[36]64│ 16│ 1│VIII.8 │VIII │ 5 B│Trespass
65│ 16│ 4│XII │XII │ 6 B│Incorrigibility
[36]66│ 15│ 0│XI.4 │XI[35] │ 6 B│Trespass
[36]67│ 14│ 5│IX.9 │IX[35] │ 3 A│Incorrigibility
68│ 16│ 0│XI.4 │XI │ 9 B│Disorderly conduct
[36]69│ 16│ 0│XIII │XIII │ 8 B│Grand larceny
[36]70│ 15│ 7│XI.4 │XI[35] │ 7 B│Jumping on train
71│ 15│ 8│XI.6 │XI[35] │ 6 A│Disorderly conduct
72│ 16│ 7│XIII │XIII[35]│ 10 │Taking auto.
[36]73│ 15│ 11│XII.2 │XII │ 6 A│Truancy
[36]74│ 13│ 1│X.4 │X[35] │ 3 A│Truancy
[36]75│ 14│ 10│XI.6 │XI │ 5 A│Truancy
[36]76│ 11│ 4│VIII.8 │VIII │ 3 A│Incorrigibility
[36]77│ 10│ 3│XI │XI │ 4 A│Petit larceny
[36]78│ 13│ 4│X.8 │X[35] │ 4 A│Petit larceny
79│ 15│ 5│XII │XII │ 7 A│Indecent Conduct
[36]80│ 15│ 4│XI.4 │XI[35] │ 5 A│Furnishing Liquor
[36]81│ 11│ 0│XII │XII │ 5 B│Malicious destruction of
│ │ │ │ │ │ property
[36]82│ 12│ 5│IX.8 │IX[35] │ 4 B│Petit larceny
[36]83│ 11│ 7│XI.4 │XI │ 4 A│Truancy
84│ 13│ 8│XI │XI[35] │ 6 B│Incorrigibility
85│ 16│ 4│XII │XII │ 11 A│Petit larceny
86│ 11│ 4│XI.4 │XI[35] │ 5 A│Malicious destruction of
│ │ │ │ │ │ property
[36]87│ 13│ 9│XI.4 │XI │ 6 B│Petit larceny
[36]88│ 14│ 0│XI.2 │XI │ 8 A│Burglary
89│ 16│ 5│X │X │ 5 B│Taking auto plug
90│ 14│ 9│XIII │XIII │ 6 A│Petit larceny
91│ 13│ 10│X.4 │X │ 4 B│Carrying dangerous weapons
[36]92│ 15│ 4│XI.6 │XI[35] │ 6 B│Truancy
93│ 15│ 11│XIII │XIII │ 8 B│Truancy
94│ 12│ 10│XII │XII │ 4 B│Incorrigibility
[36]95│ 10│ 10│IX.2 │VIII[35]│ 3 A│Petit larceny
[36]96│ 12│ 4│XII.2 │XII │ 7 B│Petit larceny
[36]97│ 15│ 7│XIII │XIII │ 9 A│Burglary
98│ 14│ 9│XII │XII │ 8 B│Incorrigibility
[36]99│ 11│ 0│XI.2 │XI[35] │ 5 B│Incorrigibility
100│ 13│ 7│X.2 │X │ 5 B│Petit larceny
101│ 10│ 9│VIII │VII │ 3 B│Breaking & entering
[36]102│ 15│ 1│XIII │XIII │ 7 A│Truancy
103│ 15│ 5│XI.6 │XI[35] │ 10 B│Incorrigibility
104│ 9│ 7│IX │VIII[35]│ 4 B│Incorrigibility
105│ 15│ 10│XI.6 │XI │ 7 A│Receiving stolen property
106│ 15│ 10│XII.2 │XII │ 5 B│Incorrigibility
107│ 12│ 2│XII.2 │XII │ 7 B│Vagrancy
108│ 13│ 1│X.8 │X │ 5 B│Truancy
[36]109│ 13│ 9│X.6 │X[35] │ 5 B│Petit larceny
[36]110│ 15│ 10│XI.4 │XI │ 6 A│Malicious destruction of
│ │ │ │ │ │ property
[36]111│ 12│ 6│XI.2 │XI │ 5 B│Petit larceny
112│ 10│ 9│XII │XII │ 4 A│Sweeping grain car
113│ 15│ 2│XIII │XIII │ 9 B│Trespass
114│ 12│ 10│XII.2 │XII │ 5 B│Incorrigibility
115│ 14│ 7│XI.6 │XI[35] │ 7 B│Incorrigibility
[36]116│ 15│ 10│XI.4 │XI │ 7 A│Incorrigibility
[36]117│ 13│ 9│XII │XII │ 4 A│Incorrigibility
[36]118│ 9│ 1│XI.2 │XI[35] │ 5 B│Incorrigibility
[36]119│ 16│ 11│XI │X[35] │ 7 B│Disorderly conduct
[36]120│ 13│ 3│XII.2 │XII │ 6 B│Truancy
[36]121│ 9│ 9│IX.6 │VIII[35]│ 4 B│Sweeping grain car
[36]122│ 11│ 9│X.8 │X │ 3 B│Sweeping grain car
[36]123│ 10│ 3│X.2 │X │ 4 A│Truancy
───────┴────┴────┴────────┴────────┴────────┴──────────────────────────
-----
Footnote 35:
Passed all tests at the basal age. The others passed all but one test
at the basal age.
Footnote 36:
Repeater.
INDEX
Ability of the feeble-minded, 74, 92, 197
Arrest of development, see maturity
Average curves, 280 ff
Binet Scale, 7, 172
Year units of, 260 ff
Borderline of deficiency, 5, 13, 304 ff
For the mature, 82-95, 240, 315
For the immature, 104-110
Causes of delinquency, 203 ff, 210 ff
Method of studying, 218, 224 ff, 231 ff, 244
City jails, 148
Coefficient of intelligence, 305, 313
Conative cases, 15, 18, 24-30, 34-40, 239, 248
Convicts deficient, 142
Correlation: of degree of deficiency with delinquency, 217
Of deficiency and criminality, 220
Significance of coefficients of, 219
Of deficiency and juvenile delinquency, 220
County institutions, 134, 148
Crimes by the feeble-minded, 212, 214
Criminal diathesis, 234
Death rates, 30
Deficiency, nature of, 21, 211 ff, 239
See feeble, frequency, correlation, etc.
Deficient delinquents, 158, 190, 199, 211 ff, 239, 246
Delinquency, see frequency of, causes of, correlation, etc.
Delinquents: first offenders, 165, 167
Repeaters, 168
Delinquents, tested: female, 128-141
Male, 141-157
Development curves, 252 ff., 279 ff
Diagnosis, 6, 11, 14, 52, 90, 107, 172-176, 194, 197, 201, 241-244
Distribution curves, 267-275, 317-323
Doubtful cases, 18
Employment of feeble-minded, 74-80
Environment, 42, 225 ff
Estimating deficiency by schooling, 190, 199
Expert court advice, 243
Family resemblance versus heredity, 231
Feeble-minded not detected by tests, 14, 34-40
Feeble-mindedness, 10, 17, 18, 20, 239
See deficiency.
Frequency of deficiency, 23, 47 ff., 80, 158 ff
Effect of local conditions, 147, 152, 161, 163
Frequency of delinquency among deficients, 211-218
General ability, 34, 45, 282 ff
Glen Lake Farm School, 122, 177
Goddard's Scale, borderlines, 89, 106, 111, 313
Goring's study of criminals, 218 ff., 231 ff
Gruhle's method, 229
Heredity, 229 ff., 236, 244
Individual differences, 41, 280
Inert cases, 15
Instability, 15, 23
Institutional care, 242, 246, 248
Intellectual deficiency, 10, 17, 20
Intelligence quotient, 304, 313
Juvenile delinquency and deficiency, 220-223
Juvenile delinquents, 162
Kuhlmann's Scale, borderlines, 87-90, 111, 118
Legal responsibility, 244
Maturity of mind, 83, 282, 290
Later for deficients, 294 ff., 230
Measurement units, 254 ff., 275 ff., 317
Mental deficiency, 11, 20
See feeble.
Mental development, 279 ff
Minneapolis: delinquents tested, 125
School retardation, 177-185, 199
Juvenile deficient delinquents, 220-223
Minneapolis, school group tested, 85-91
Morons: chances of delinquency, 217
Danger to society, 237, 246
Normal distribution, 256, 267
Observation home, 242
Offenses, 168
Percentage definition of deficiency, 5, 13, 20, 65, 75, 80, 240, 304
ff., 307
Advantages, 311 ff.
Percentage feeble-minded, 47 ff.
Percentiles as units, 276
Point Scale, borderlines, 114, 313
Prostitutes, 78, 129, 140, 158
Schooling, 186
Quantitative definitions, 21, 304 ff.
Effect of uncertain forms of distribution, 317 ff.
Ranks as units, 276
Rates of development, 290 ff.
Recidivism, 168, 235
Reformatories, 128, 143
Responsibility of deficients, 244
School test of deficiency, 177, 189 ff.
School maladjustment, 203-209, 247
School retardation of delinquents, 177-188, 190-194, 199
Skewed distributions, 267, 300
Social care, 47-52, 80, 158 ff., 212-214, 216, 237, 242-251
Social deficiency, 10, 15, 74, 239
Special ability, 34, 45
Special classes, 62 ff., 74-80
Standard deviation, 256, 306, 314
Stanford Scale, borderlines, 101, 112, 313
State prisons, 128, 141
State Training Schools, 131, 145
Sterilization, 245
Test by school retardation, 177, 189
Tested deficiency, 13
Tests, mental, 170 ff.
See also Binet, Goddard, Kuhlmann, Point, and Stanford Scales.
Thorn Hill Detention Home, 151
Training for deficients, 205
Units of measurement, 254, 275, 317
Vagrancy, 158
Variability, 41-46, 280 ff.
Year units, 260-266
* * * * * *
Transcriber's note:
1. Changed the total column in Table X on p. 151 for the life-age 8 row
to 1 and the Totals row to 124.
2. In TABLE XIII. on p. 179 the GIRLS Percentages columns on the
Ordinary Pupils row only adds up to 99%.
3. Silently corrected typographical errors.
4. Retained anachronistic and non-standard spellings as printed.