Standardization and Optimization of Psychodiagnostic
Questionnaires
Dilbar Mukhamedova, Abdimumin Rasulov, Indira Rakhimova and Muhammadrasul Ibrogimov
National University of Uzbekistan after M.Ulugbek, Tashkent, Uzbekistan
Keywords: Unification, Methodology, Personality, Questionnaire, Efficiency, Economy, Thrifty, Provides Uniformity,
Allows Fast Execution
Abstract: Psychological diagnosis of a condition/entity is influenced by various groups of standardized and non-
standardized techniques. The leading position among them is currently held by individual surveys. Alongside
these surveys, there is a category of personal questionnaires that serve as psychodiagnostic approaches where
they come in the form of discussions or questions. When employing these approaches, certain criteria are
applied to the processes involving psychology students. The purpose of this paper is to examine the
standardization of survey programs used in psychological studies. During this research, the optimization of
the method for the interpretation of their findings was accomplished by upgrading a variety of specific
questionnaires on an answer sheet. The study was conducted in compliance with respondent comprehension
standards, with the ability to expand them fairly for the purpose of improving the questionnaire answer sheet
processing method and the resulting data, the time spent on processing the responses, the reasonable prices of
the test materials and the nature of the operation. Following the standardization of the research findings
processing system, the validity of the methodology was defined in compliance with the statistical parameters.
1 INTRODUCTION
Survey questions are assessment instruments that
require continuous changes. In both initial and recent
interviewing approaches, the emergence of new
options has been observed from the very beginning.
Various classifications of individual research
questionnaires have been formulated and are widely
used as research instruments. As these questionnaires
are developed over multiple periods, specialists have
enhanced their use for research purposes through
various means: utilization of the "big five" in research
(Balgiu B. A. (2018)), (Costa, P. T. & McCrae, R. R.
(1985)), (Donnellan, M. B., Oswald, F. L., Baird, B.
M. & Lucas, R. E. (2006).); inclusion of cultural and
ethnic groups (Benet-Martinez, V., & John, O. P.
(1998)); questionnaire analysis (Ben-
Porath, Y.S. (2012)), (Hoelzle, J. B., & Meyer, G.
J. (2008)); and adaptation of questionnaires (Rasulov
A.I. (2018)), (Stilwell NA, Wallick MM, ( 2000)),
(Shmelev А. G. (2002)). The utilization of
psychometric criteria for questionnaires is
continuously subjected to empirical scrutiny (Baturin,
*
Corresponding author
N.А. –( 2009)), refinement of stages and criteria for
upgrades (Yegorova, M.S. (2016).), availability of
psychometric characteristics (Yeliseyev О.P), the
question of technology for questionnaire
development and adaptation (Mitin О.V. (2011)), and
the necessity for ongoing study. However, in certain
cases, psychologists recognize the need to improve
the questionnaire processing system and the
interpretation of the results. The development of the
survey processing system and survey outcomes must
align with psychometric requirements. Our study
focuses on teaching psychology students how to work
with worksheets and establish a framework for
collecting responses to personal questionnaires.
1.1 The Purpose of the Study
The focus of the research is to study the mechanism
of consolidating the questionnaire response sheet and
the overall processing system. This also aims at
strengthen the response sheet for students'
questionnaires in the field of psychology.
Mukhamedova, D., Rasulov, A., Rakhimova, I. and Ibrogimov, M.
Standardization and Optimization of Psychodiagnostic Questionnaires.
DOI: 10.5220/0012476200003792
Paper published under CC license (CC BY-NC-ND 4.0)
In Proceedings of the 1st Pamir Transboundary Conference for Sustainable Societies (PAMIR 2023), pages 5-13
ISBN: 978-989-758-687-3
Proceedings Copyright © 2024 by SCITEPRESS Science and Technology Publications, Lda.
5
Table 1: Features of questionnaires split in order to unify the answer processing method.
Name of the questionnaire
Confirmation of
feedbacks, quantity of
questions
Version of
answers
Scale
of ranking
1.
Mini-mult (SMOL) form of
MMPI
71 dichotomic 11
2.
Myers-Briggs personality type
indicator (MBTI) questionnaire
94
dichotomic,
trichotomic
4
3.
“Psychodiagnostic test” of
V.M.Melnikov and L.T. Yampolski
174 dichotomic 14
4.
“Temperament structure”
questionnaire of Y.Strelau
134 dichotomic 3
5.
“Q-qualifying” questionnaire 60 trichotomic 6
6.
H.J.Eysenck’s questionnaire
EPI
57 dichotomic 3
7.
V.M. Rusalov’s “Questionnaire
on the official-dynamic
characteristics of individuality (of
QOCI)”
150 rated 13
8.
Questionnaire of V.V.Stalin and
S.R.Panteleyev “Evaluation of self
personality”
110 dichotomic 9
9.
Questionnaire of Freyburg (FPI) 114 dichotomic 12
2 МETHODOLOGY
Specialized questionnaires are the most popular
assessment tool for psychodiagnostics. Identity
surveys (pq, opq, opq32) are designed to determine
emotions, behaviors, motives and other personal
characteristics of an individual. Identity survey
questions have been compiled in various versions
over more than a century (Batashev 2020), (Costa
1985), and have been modified in diverse cultural
environments (John 2011), (Rasulov 2018),
(Batashev 2020), (Sobchik 2007). Moreover, they are
currently being implemented (Balgiu 2018), (Benet-
Martinez 1998), (Shmelev 2002). Questionnaire
preparation technology is utilized ensure the
fulfillment of psychometric criteria.
3 METHODS
The situational framework is used for analysing
performance outcomes as a tester, survey answer, and
response processing (20), Styuden's T-criteria are
utilized to verify the degree of predictive reliability of
empirical measures obtained from the analysis using
K. Pearson and Mann-Whitney criteria" for improved
clarity and better sentence structure.
Questionnaire on the official-dynamic
characteristics of individuality (of QOCI)”,
questionnaire of V.V.Stalin and. S.R.Panteleyev
“Evaluation of self personality”, the questionnaire of
Freyburg (FPI)" was revised to "To standardize the
process, the study also selected the following
questionnaires (20): the mini-mult (SMOL) form of
MMPI; the Myers-Briggs personality type indicator
(MBTI) questionnaire; the “Psychodiagnostic test”
by V.M. Melnikov and L.T. Yampolsky; the
“Temperament questionnaire” and Y. Strelau
Temperament diagnostic questionnaire; the “Q-
breeding” questionnaire; H.J. Eysenck’s EPI
questionnaire; V.M. Rusalov’s “Questionnaire on the
official-dynamic characteristics of individuality
(QOCI)”; the questionnaire by V.V. Stalin and S.R.
Panteleyev for “Evaluation of self-personality”.
The survey project allows the analysis of the issue
and details of strategies and methodology used in its
research. The research was conducted with the
participation of students in psychology and
pedagogy. 135 students engaged in the application
process for the unification of questionnaires; 50 for
the control group-in the verification of the validity at
the post-unification stage of the questionnaire answer
sheet; 50 students were involved in the experimental
group.
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4 DATA ANALYSIS
The basic characteristics of the questionnaires chosen
for unification during the study are shown in Table 1
below. The table provides comprehensive statistics
on questionnaire confirmations, response choices and
ranking scales.
a) The mini-mult (SMOL) form of the MMPI
consists of 71 responses and has 11 assessment tools.
Variations of responses have a dichotomic (“right”
and “wrong”) character, there is a variant designed in
the Uzbek language;
b) The Myers-Briggs Personality type indicator
(PTI) questionnaire is based on 94 confirmations and
a network evaluation scale, with responses on both
dichotomic and trichotomic character;
Table 2: The degree to which the unification approaches of classification meet the requirements.
c
Questionnaires
Criteria
Question
naires of
dihotomi
es,
trichotom
ies, “like-
dislike”
or rating
responses
Let
only
one
rankin
g scale
be
used
in the
survey
questio
nnaires
and
verific
ation
The
sensiti
vity of
examin
ers to
survey
questio
ns
remain
s the
same
indicat
or.
Th
e
ind
icat
or
of
ave
rag
e
val
ue
Mini-mult (SMOL) form of MMPI
135 - 135 90
Myers-Briggs “Personality type indicator” (MBTI) questionnaire
135 135 135
13
5
“Psychodiagnostic test” of V.M.Melnikov L.T. Yampol
135 - 126 87
“Temperament structure” questionnaire Y.Strelya
135 135 135
13
5
“Q-qualifying” questionnaire
135 135 135
13
5
H.J. Eysenck’s Questionnaire EPI
135 135 135
13
5
V.M. Rusalov’s “Questionnaire on the official-dynamic
characteristics of individuality (of QOCI)”
135 135 135
13
5
Questionnaire of V.V. Stalin and S.R. Panteleyev “Evaluation of
self personality”
135 135 135
13
5
Questionnaire of Freyburg (FPI)
135 118 123
12
5
с) V.M. Melnikov and L.T.Yampolskys
“Psychodiagnostic test” consists of 174 questions and
has 14 evaluation scales and “dihotomic” responses;
d) Y. Strela’s “Temperament structure”
questionnaire consists of 134 questions, with three
evaluation scales and “trichotomic” responses;
e) “Q-qualifying” questionnaire consists of 60
items and has six evaluation scales and answers
“trichotomic” character;
f) H.J. Eysenck questionnaire EPI consists of 57
questions, characterizes “dichotomic” responses in
two main and one controlling scales;
g) The questionnaire of V.M. Rusalov’s
“Questionnaire on the official-dynamic
characteristics of individuality (of QOCI)” consists of
150 reviews, consists of 12 reviews and one control
scale, the rating system is evaluated;
The questionnaire of V.V. Stalin and S.R.
Panteleev “Evaluation of self personality” consists of
Standardization and Optimization of Psychodiagnostic Questionnaires
7
110 reviews and responses on a rating scale and is
“dichotomous” in nature;
The Freiburg questionnaire (FPI) consists of 114
items, with 12 rating scales and responses that are
“dichotomous” in nature.
At the second step, the full version of the survey
questions and a brief outline of the structure and
assessment process were presented. This allowed the
survey participants to organize their project work. At
the introductory level, 135 students were selected as
respondents for the experiment (based on the training
course “General psychodiagnostics”) to study the
approach for processing the study findings according
to defined standards. After providing details of the
methods, they were asked to determine strategies that
could be used against the evaluation criteria to
replicate the results processing platform. The
following techniques assembled the methodological
approaches at the step of sorting (Table 2).
In order to conduct the production system, the
techniques that achieved a score above the following
25 factors were divided based on the performance
results of the examiners for the three parameters. The
outcome included the mini-mult (Smol) version of the
so-called MMPI (23.33) and “Psychodiagnostic Test”
of V.M. Melnikov and L.T. Yampolsky (20.33) to
meet the requirements. We did not ask respondents
why they also rated the Freiburg questionnaire (FPI)
highly in their comments. This was because,
according to the second evaluation criterion of this
questionnaire, one question served to evaluate two
scales, which led to their disregard. However, some
respondents noticed this.
At the next level of the experiment, the five
participants were divided into small teams, and each
group performed an independent analysis on the
response sheet and the main sorting methods. It was
suggested that they adhere to the following
requirements in order to propose a unified version:
1) Allow the option of participating uniformly to
all questionnaires;
2) The time required on the results analysis is
considerably less;
3) Low consumable costs;
4) Operational character;
5) Be accessible to users.
It was also clarified that they could be contacted
to clarify the task. After a two-week innovative
strategy, respondents were presented with a wide
range of interpretations and various materials
prepared alongside the survey. However, the ability
to find an optimal version of the technique was
severely constrained, and progressions in placing the
questionnaire key on the response sheet in the
intergroup were considered the most desirable
selection. Thus, six of these empirical indicators were
summarized in Table 3.
Table 3: The indicators of the groups of materials prepared for the unified system of the questionnaire response processing
sheet and results (significance of differences were determined by the student’s criterion.
Criteria
Groups
1 2 3 4 5 6 7
M σ M σ M σ M σ M σ M σ M σ
Provides
uniformity
t
2.53 0.68 3.43 0.72 2.26 0.78 2.53 0.86 2.53 0.68 4.70 0.70 2.53 0.86
-3.137***
1.06 3.628** 3.848**
Time
consumption
is low t
2.93 0.98 3.10 0.60 2.03 0.55 2.23 0.56 2.93 0.98 4.53 0.62 2.23 0.56
-0.926 1.92 -3.049** 3.057**
Thrifty
t
2.90 0.66 3.13 0.345 2.90 0.305 2.31 0.05 2.90 0.66 4.60 0.49 2.96 0.31
-1.882
1.541 -3.618 3.548**
Allows fast
execution
t
2.86 0.43 2.83 0.69 2.64 0.11 1.83 0.64 2.53 0.86 4.63 0.49 1.93 0.52
0.226 1.012 -3.157** 3.078**
For users, it is
clear and
comfortable.
t
1.63 0.49 2.80 0.48 1.88 0.49 1.63 0.49 2.23 0.56 4.26 0.52 2.60 0.56
-3.042** 0.195 -3.098** 3.302**
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According to the results presented in Table 3, the
group that presented the alternative was significantly
assessed by the other groups, which ensured the
unification of the answer sheet of the methods in the
study. This has been confirmed by empirical
indicators of statistical significance (provides validity
relative to the fifth and seventh category indicators
4.70, p≤0.01; has low time consumption 4.53,
p≤0.01), saves 4.60, p≤0.01 by the criterion; enables
quick execution – 15.157, p≤0.001; is understandable
and comfortable for users – 4.26, p≤0.01).
In turn, work has been done to review the mutual
influence of the expert assessment parameters of the
other six groups included in this category. For this
purpose, a correlation research was conducted using
the material prepared by these six groups based on the
responses of other members in the group (see Table
4).
Table 4: Indicator of the correlation between the evaluation criteria for the unification of the questionnaire response processing
system and the results.
Criteria
Provides
uniformity
Low time
consumption
Thrifty
Allows fast
execution
Convenient and
comfortable for
users
1 Monotonous
1 0.477
**
0.469
**
-0.328
*
0.333
*
2 Low time consumption
1 0.450
*
-0.020 0.487
**
3 Thrifty
1 0.079 0.357
*
4 Allows fast execution
1 -0.348
*
5 Convenient and comfortable for users
1
Annotation: * p≤0.05; ** p≤0.01
According to the correlation study, strong positive
and, conversely, negative correlations were found
between the methodological variables in relation to
the criterion for determining the examiners'
unification process.
Looking at the responses of the methods as a simple
process to the processing system leads to an
erroneous conclusion. Therefore, using the example
of the option with the most effective indicator, the
correlation coefficients of expert assessments provide
a specific definition. The proposed option for a
response processing system ensures uniformity for all
methodologies under the condition of unification.
This criterion resulted in a "reduction in time
consumption"(r=0.477, p≤0.01), and an increase in
‘savings’ (r=0.69, p≤0.01).
Although unification is provided by the criterion of
“low time consumption”, the criterion of “saving” is
the naturally leads to an increase (r=0.450, p≤0.01),
and “understandable and convenient for users” also
leads (r=0.487, p≤0.01). Ensuring the criterion of
“saving” in unification, as long as it provides “clarity
and convenience for users” (r=0.357, p≤0.05).
Ironically, the provision of the unification process
may have triggered confusion and discomfort to the
customers according to the criterion of “allows fast
execution” (r=-0.348, p≤0.01). Perhaps this concept
also applies to difficulties in focusing, making snap
judgments, reluctance to perform monotonous
actions, failure to have dynamic activity, and a
multitude of other psychological factors.
At this phase, visual aids helped progress to the next
step of the analysis. A research experiment was
conducted using materials formed for the unification
of the psychodiagnostic methods’ answer processing
system.
The next step of the experiment focused on the single
questionnaire method for analyzing answers. The
experiment was conducted with a group of students
who participated in the unification, as well as 3-4
students from the course. One of these groups was
developed as the control group (n=45), and the other
served as the experimental group (n=50).
Additionally, test materials were designed for the
types of research methods based on regular and
unified response processing framework in an earlier
stage of the experiment. The study group members
were assigned to work on the questionnaire of
answers obtained on the regular approach types and
on the questionnaire for unification of answers.
Responses from the application of techniques
were processed with the support of the participants
from both groups. Both the control group and the
experimental group members completed the assigned
task and noted the time spent on reviewing the
responses on the answer sheet. Their empirical
parameters were comparatively studied in the
experiment. Responses from the use of strategies
Standardization and Optimization of Psychodiagnostic Questionnaires
9
were processed with the assistance of participants
from both groups. In the experiment, the participants
of the control group were given the full details of the
questionnaire and were offered to process the results
by applying it in practice. In the experimental group,
along with the details of the questionnaire, a
methodological instruction was given to improve its
response sheet. The statistical processing results of
the indicators between the results of the groups
participating in both experiment and the test are
presented in Table 5.
Table 5: Descriptive and formative group indicators for the unification of the questionnaire answer sheet processing method
and findings, N=100.
Scales Medium rang
Mann-
Whitney’s
criterion
Significance-
degree of
validity (p)
Control group,
N=50
Experimental group,
N=50
EPI (H. Y. Eysenck)
64.19 22.81 35.00 0.000*
Temperament structure (Y. Strelyau)
64.58 22.42 18.01 0.001*
FPI (Frayburg questionnaire)
62.81 24.19 94.25 0.000*
QOCI (V.M. Rusalov)
60.79 26.21 18.,00 0.000*
Self-attitude questionnaire (V.V. Stolin)
65.12 22.00 36.12 0.000*
Annotation: * − expression of statistically significant differences.
From the collected quantitative indicators, it can
be seen that it is necessary to save time in the
processing questionnaire responses and not to ignore
the concept of improving the response sheet for the
acquisition of unbiased details, or to rely on the use
of a single method of processing results. However,
based on our experience, analytical measures suggest
that the situation has been sufficiently achieved.
H.Y. Eysenck’s (EPI) questionnaire (U=35.00,
p<0.05), Y. Strelyau’s “Temperament structure”
(U=18.01, p<0.05), Frayburg’s questionnaire (FPI)
(U=94.25, p<0.05), V.M. Rusalov’s questionnaire
((U=181.01, p<0.05), and Self-attitude (V.V. Stolin)
questionnaire (U=36.12, p<0.05) showed variations
in the unification of the method of processing
outcomes in terms of control and experimental
experience.
The study conducted on the unification of the
production mechanism in identity psychodiagnostic
technique responses followed the analysis aimed at
being part of the studies in this direction. This was
done to identify the empirical facts that determined
the objective and unbiased nature of our study and
validate it. Taking this into account, as a continuation
of our studies on the integration of processing
structures, the analysis involved testing consistency
between the individual questionnaire answers and
post-unification indicators with their original choices.
At the next level of the study, respondents were
recruited to assess the consistency status of individual
questionnaires between the original and unified
alternatives. Additionally, students in the educational
path of "psychology" were engaged as main research
participants. The examiners administered both
variants of the questionnaires, and the correlation
between them was determined. The results are
presented in the below table (see Table 6). In the
application of the technique, the metrics obtained
after the unification findings do not influence the
standards of reliability. Although the unification of
questionnaires has a positive influence on the
productivity of the experts' work, they do not change
the individual findings collected. Indicators were
developed comparing the outcomes of the application
of the first and second versions of the Eyzenk EPI
questionnaire. To do this, according Styuden's T-
criteria, the reliability of the variations between the
mean arithmetical values of the scales and the
relationship between the scales was calculated. The
methodological metrics from the table indicated that
the outcomes of the first and second versions of the
questionnaire were correlated. The scales of
questionnaire for “extraversion-introversion”
(r=0.548, р≤0.01), “neuroticism” (r=0.701, р≤0.01)
and sincerity reliability indicators showed
correlation. Differences were also not observed in the
mean arithmetic values of the scales according to the
first and second forms of the questionnaire: (12.96
and 12.76; t=0.358), “neuroticism” (12.05 and 11.96;
t=0.068) and scale of sincerity (3.60 and 3.62; t=-
0.071). It can be concluded that the unified form of
the Eysenck questionnaire provided convenience to
specialists for processing answers, and it did not have
a negative impact on its internal stability indicators.
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Table 6: Correlation relationship between the EPI questionnaire scales of G. Y, Eysenck (n=50).
Scales
Figure 1 Figure 2
t r
М σ М σ
1 Extraversion-introversion 12,96 4,46 12,76 3,59 0,358 0,548**
2 Neuroticism 12,05 5,67 11,96 4,82 0,068 0,701**
3 Sincerity 3,60 1,62 3,62 1,52 -0,071 0,348*
Annotation: *р≤0,05; ** р≤0,01.
In determining reliability indicators between the
unification methods, the test was carried out based on
Y.Strelya's temperament study questionnaire. When
checking the level of reliability between both variants
of this methodology, the differences between the
mean values and the correlation relationship between
the indicators were determined. The indicators of the
experiment are reflected in Table 7.
Table 7: Correlation relationship between scales of Y. Strelyau’s questionnaire on learning temperament (n=50).
Scales
1-figure 2-figure
t
r
МσМσ
1 Excitation force (F
d
) 56.79 13.97 55.51 13.09 0.693 0.371*
2 Braking power (F
b
) 52.69 11.60 53.28 9.69 0.221 0.428*
3 Mobility (F
m
) 53.56 10.14 2.07 11.09 1.064 0.643**
Annotation: *р≤0.05; ** р≤0.01.
Indicators on the average slope of the first and
second forms between the scales “excitation force”,
“braking force”, and “mobility” of the methodology
were 56.79 and 55.51; t=0.693; 52.69 and 53.28;
t=0.221; 53.56 and 52.07; t=1.064. On average, there
was no difference in the arithmetic mean between the
indicators of both forms. This suggests that the
methodology has been tested in two different forms
in the same contingent respondents, comparing
whether there is a discrepancy between their
indicators. Although the discrepancy has not been
observed, it is recognized as a positive indicator. In
turn, the determination of the correlation relationship
between the methodological scales is the second
method, which serves to check the degree of
reliability of the methodology through the indicators.
The relationship between questionnaire scales on
correlation analysis indicators was found to have the
following coefficients: “excitation force”- r=0.371,
р≤0.05, “braking power” - r=0.428, р≤0.01, and
“mobility”- r=0.648, р≤0.01. This reflects a positive
correlation between the variation of the methodology
used in practice and the results obtained from the
modified forms of response processing system. The
unification form of this questionnaire is evidenced by
the fact that it has no effect on the content of the
methodology.
In order to ensure the objectivity and fairness of
the research conducted on the unification of the
response processing system of personality
psychodiagnostics methods, an attempt was made to
investigate the validity of one of the contents of the
other questionnaire forms. For this purpose V.V.
Stalin and S.R. Panteleev’s questionnaire on
“individual self-attitude” was carried out. The
findings on the unification form feature of the
questionnaire were reflected in the materials analyzed
above. The question arises: will there be a change in
the responses given by the respondent to the
questionnaire after the response processing system
has been unified, or will it keep its original state, like
the form in which it is applied in practice? To answer
this question, it was tried to determine the reliability
indicators between the forms of the methodology of
“self-examination of the individual”, such as the
questionnaires of Eysenck and Strelyau, and this was
achieved.
The correlation relationship between the scale of
V.V. Stalin and S.R. Panteleev's questionnaire on
"Individual self-attitude" is presented in Table 8.
Standardization and Optimization of Psychodiagnostic Questionnaires
11
Table 8: Correlation relationship between the scale of V.V. Stalin and S.R. Panteleev’s the questionnaire “Individual self-
attitude” (n=50).
Scales 1-figure 2-figure t r
М Σ М σ
Sincerity
5.46 1.51 5.52 1.35 -0.760
0.472**
Self-confidence
5.21 1.68 5.40 1.88 -1.534
0.261*
Self-administration
5.72 1.79 5.42 1.79 -1.358
0.563**
Reflection of self-
attitude 6.25 1.93 6.41 1.93 -1.889
0.278*
Self-esteem
5.96 1.80 6.00 1.78 -1.375
0.203
Self-acceptance
6.41 2.15 6.70 1.69 -1.097
0.672**
Limited nature
6.48 1.90 6.68 1.76 0.045
0.462**
Internal contradiction
6.22 1.13 6.53
1.35 0.971 0.781**
Self-blame
6.57 1.61 6.97 1.53
1.217 0.281*
Annotation: *р≤0.05; ** р≤0.01.
After the unification of V.V.Stalin and
S.R. Panteleev's questionnaire “Individual self-
attitude”, the placement of scales was replaced.
However, we relied on the original state of the scale
to determine the content reliability of the
questionnaire. The mean value of the questionnaire
scale and the relationship between the two
correlations indicated a similar pattern as the methods
previously analyzed. There were no differences
between the average values of the scales of the
questionnaire forms: sincerity-5.46 and 5.52; t=-
0.760; “self-confidence”-5.21 and 5.40; t=-1.534;
“self-administration”-5.72 and 5.42; t=-1.358;
“reflection of self-attitude”-6.25 and 6.41; t=-1.889;
“self-esteem”-5.96 and 6.-0; t=-1.375; “self-
acceptance”- 6.41 and 6.70; t=-1.097; “limited
nature”-6.48 and 6.68; t=0.045; “internal
contradiction”-6.22 and 6.53; t=0.971; “self-blame”-
6.57 and 6.97; t=1.217. This end result demonstrates
the reliability of the methodology.
The second approach is to determine the
correlation between the scales. The correlation
measures obtained at this point are seen in Table
4.2.8. Just one non-significant coefficient was
calculated among the scales (scale “self worth”
r=0.203). Only one significant correlation has been
found between all the remaining scales of the
questionnaire: sincerity- r=0.472, р≤0.01; “self-
confidence”- r=0.261, р≤0.05; “self-administration”-
r=0.563, р≤0.01; “Reflection of self-attitude”-
r=0.462, р≤0.01; “self-acceptance”- r=0.672, р≤0.01;
“limited nature”- r=0.462, р≤0.01; “internal
contradiction”- r=0.781, р≤0.01; “self-blame”-
r=0.281, р≤0.05. The positive correlation coefficients
of the scales indicate that the questionnaire has
validity and reliability .
5 CONCLUSION
The unification of the system for processing
questionnaire answer sheets and responses is an
integral part of the professional training of
psychology specialists. The unification of the
processing of questionnaire response sheets and
responses has ensured increased efficiency for
psychologists in the following ways:
The uniform appearance and use of the
questionnaire answer sheet have contributed
to a consistent response style.
Time savings have been achieved through
the reprocessing of data collected from the
questionnaire.
Unification has not resulted in a decline in
the conformity of questionnaires with
psychometric parameters.
It has ensured that the examiners' sensitivity
to the questions in the survey has not
changed.
The authors express their gratitude to the National
University of Uzbekistan and the Tashkent State
Pedagogical University for their assistance in
conducting this research and look forward to continue
PAMIR 2023 - The First Pamir Transboundary Conference for Sustainable Societies- | PAMIR
12
their collaboration in further questionnaire
development studies.
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