Proceedings of the International Scientific Conference on Philosophy of Education, Law and Science in the Era of Globalization (PELSEG 2020)

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Specifics of Interrelations among Emotional, Personal and Intellectual Characteristics in Preschool Children: Data Mining

Authors
Elena Slavutskaya, Natalya Vostretsova, Evgeni Nikolaev, Anna Zakharova, Svetlana Petunova
Corresponding Author
Elena Slavutskaya
Available Online 23 July 2020.
DOI
10.2991/assehr.k.200723.085How to use a DOI?
Keywords
psychodiagnostics, data mining, preschoolers, intellectual indicators, emotions, self-esteem, artificial neural networks
Abstract

The relationships of intellectual signs with self-esteem and emotional characteristics of 5-7-year old preschoolers are studied. For this purpose, traditional methods of diagnostics were used: “Method of Express Diagnostics of Intellectual Abilities (MEDIA)”, “Ladder”, “House. Tree. Man”, “Choose the right person”. The research was based on preschool institutions in Moscow and Cheboksary. Correlation, factor analysis, and artificial neural networks were used to process psychological testing data and evaluate the relationships between different psychological indicators. It is shown that even with a small sample of respondents, such a comprehensive data mining allows detecting new features in the conditions when the results of testing of preschool children have integer scales with a limited range of values. Some gender features in intellectual indicators and their interrelations with emotional and personal characteristics are revealed. On the basis of quantitative data analysis, the most significant subtests and symptom complexes from the used methods were identified. The results obtained allow demonstrating the possibilities and advantages of using artificial neural networks for processing psychodiagnostic data. The tools used are available to practical psychologists because they are part of most modern software packages for statistical data processing.

Copyright
© 2020, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the International Scientific Conference on Philosophy of Education, Law and Science in the Era of Globalization (PELSEG 2020)
Series
Advances in Social Science, Education and Humanities Research
Publication Date
23 July 2020
ISBN
10.2991/assehr.k.200723.085
ISSN
2352-5398
DOI
10.2991/assehr.k.200723.085How to use a DOI?
Copyright
© 2020, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

risenwbib
TY  - CONF
AU  - Elena Slavutskaya
AU  - Natalya Vostretsova
AU  - Evgeni Nikolaev
AU  - Anna Zakharova
AU  - Svetlana Petunova
PY  - 2020
DA  - 2020/07/23
TI  - Specifics of Interrelations among Emotional, Personal and Intellectual Characteristics in Preschool Children: Data Mining
BT  - Proceedings of the International Scientific Conference on Philosophy of Education, Law and Science in the Era of Globalization (PELSEG 2020)
PB  - Atlantis Press
SP  - 415
EP  - 419
SN  - 2352-5398
UR  - https://doi.org/10.2991/assehr.k.200723.085
DO  - 10.2991/assehr.k.200723.085
ID  - Slavutskaya2020
ER  -