`PRESENTATION AND ANALYSIS OF DATA`

__Description of Subjects__

` There was an equal number of male (18) and female
(19) subjects. None of the subjects had had previous psychotherapy,
dianetic or otherwise. The average age of the subjects was thirty-four
years, with 70% falling between twenty-two and forty-seven years.
Half of the group had either started high school or graduated
from high school. The other half had completed at least two years of
college, and two of the eighteen had Master of Arts degrees. These
were distributed approximately equally in each of the three groups.
From the average scores of the tests of intellectual
functioning used in this study, it was noted that the average subject was
placed in the eighty-fourth percentile of the general population. The
mean score for personality conflicts placed the average subject in the
sixty-first percentile of the general population, which indicates a significant
degree of personality disturbance according to the data published by
Rotter`.

__Intellectual Functioning__

` The raw score of intellectual functioning on each
of the two tests was obtained for each subject. These raw scores were
then transferred into standard scores by dividing the difference from the
published normative mean by the standard deviation for the respective test.
The negative values were then coded out by the addition of a constant
which was a number greater by one than the lowest value. This same
procedure was repeated for the results of the second testing session which
were obtained after the therapeutic interval.
For each subject, the difference between the average
score on the first test and the average score on the second test was calculated.
The sign was kept so that a positive value stood for an increase in
score. These scores were thereafter coded so that negative values were
obviated.
The final result was a coded difference score of intellectual
functioning for each subject. These were tabulated in accordance with
the experimental design and are presented in Table
I.
The division of a variable into sub-categories makes
the assumption in sampling that although the means of the categories are
significantly different (by construction), the sampling of these categories
should be from a common population. Since, in this study, no controls,
other than the variables themselves were used, randomness is a tenable `

__Arithmetical Ability__

` The raw score of arithmetical ability on each of
the two tests was obtained for each subject. These raw scores were
then transformed into standard scores through the division of the difference
from the published normative mean, by the standard deviation for the respective
test. The negative values were then coded out by the addition of a
constant— a number greater by one than the lowest value. This
same procedure was repeated for the results of the second testing situation
which were obtained after the therapeutic interval.
For each subject, the difference between the average
score on the first test and the average score on the second test was calculated.
The sign was kept so that a positive value stood for an increase in
score. These scores were coded so that negative values were obviated.
The final result was a coded difference score of mathematical ability
for each subject. These scores were tabulated in accordance with the
experimental design and are presented in Table
IV.
Following the rationale presented in the discussion of
the analysis of the scores of intellectual functioning, the data of Table
IV were tested for homogeneity of variance. The results are given in
Table V.
From Table V it was noted that the probability level
associated with each of the major variables is of a degree sufficient to
allow as tenable the hypothesis of homogeneity between sub-categories.
This satisfied the prerequisite condition for the analysis of the variance.
Using these tested data, the various combinations of variance were
calculated. The results are presented in Table
VI.
The data of Table VI provide an answer to the second
problem (Chapter I: `

__Personality Conflicts__

` The raw score expressing the degree of personality
conflicts was obtained for each subject from Rotter's test for this
characteristic. This information was obtained again from the results
of the second testing session which took place after the therapeutic interval.
For each subject, the difference between the first test score and the
second test score was calculated. The sign was kept so that a positive
value stood for an increase in score (since the score itself is of an unfavorable
characteristic, an increase in score is an unfavorable outcome). These
scores were coded so that negative values were obviated. The final
result was a coded difference score of personalty conflicts for each subject.
These scores were tabulated in accordance with the experimental design
and are presented in Table VII.
Following the rationale presented under the foregoing
discussion of the analysis of the scores of intellectual functioning, the
data of Table VII were tested for homogeneity of variance. The results
are given in Table VIII.
From Table VIII it was noted that the probability level
associated with each of the major variables is of a degree sufficient to
allow as tenable the hypothesis of homogeneity between sub-categories.
This satisfied the prerequisite condition for the analysis of the variance.
Using these tested data, the various combinations of variance were
calculated. The results are presented in Table
IX.
The data of Table IX provide an answer to the third problem
(Chapter I: `

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