Gender Characteristics Of Junior Adolescents’ Personal Traits

Nikolaev, Evgeni

doi:10.15405/epsbs.2018.07.69

Cited by 4 publications

(3 citation statements)

References 7 publications

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“…To assess the relationships and grouping of psycho diagnostic data, correlation and factor analysis as traditional methods were used, which, when dividing respondents by gender, allows assessing the gender differences of the psychological characteristics links [14]. Varimax normalized method for the factor load matrix rotation was used.…”

Section: Resultsmentioning

confidence: 99%

“…Most of the research on gender features of intelligence, emotional sphere and personal characteristics (in particular, children's selfesteem [13]) presented in the Russian psychological literature is devoted to the problem of determining these features by cultural and social context, including in preschool age [14,15]. According To L. I. Bozhovich, the correct formation of self-esteem is one of the most important factors in the development of a child's personality.…”

Section: Introductionmentioning

confidence: 99%

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

Slavutskaya¹,

Vostretsova²,

Nikolaev³

et al. 2020

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

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The relationships of intellectual signs with selfesteem 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.

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Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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

Slavutskaya¹,

Vostretsova²,

Nikolaev³

et al. 2020

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

Self Cite

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show abstract

“…It, in one way or another, manifests itself for all groups of students, allocated on the basis of gender or IQ level. Experimentally observed gender heterochrony in personal developmentfor the girls, the signs of age-related crisis occur for six months or a year earlier than boys, the redistribution of the relations of personality traits for them is more pronounced, also the signs of emotional distress during the crisis (Slavutskaya, Nikolaev, Ivanova, & Yusupov, 2018). In the analysis of psycho diagnostic data of students with different levels of IQ found that for children with higher intellectual performance transition period proceeds more smoothly in terms of quantitative and qualitative changes in cross-functional relationships of psychological characteristics.…”

Section: Girlsmentioning

confidence: 93%

Dynamics Of Personality Development In Pre-Adolescence: Longitudinal Study

Slavutskaya¹

2019

The European Proceedings of Social and Behavioural Sciences

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Simple neuro network algorithms for evaluating latent links of younger adolescent’s psychological characteristics

Slavutskaya

Abrukov

Славутский

2019

Experimental Psychology (Russia)

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The artificial neural networks (ANN) for the psycho-diagnostics data analyzing is used. It is shown that the training of a simple ANN of direct propagation, as the problem of nonlinear multi-parameter optimization, allows to carry out the vertical system analysis and to assess the latent, non-linear relationship between different level’s psychological characteristics (the system of relationships, motivational characteristics, personality traits, intelligence, the type of nervous system). The detection of such links using the traditional for psychology the correlative ore factor analysis is difficult. Quantitative criteria are proposed for evaluating the quality of ANN algorithms, which are based on a scattering diagram and the statistical distribution of errors in the learning and testing of a neural network. As an example, the data of psycho-diagnostics of younger adolescents are analyzed. The proposed algorithms and criteria made it possible to detect latent links between psychological characteristics, to evaluate the ratio of psychological level-based indicators.

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Gender Characteristics Of Junior Adolescents’ Personal Traits

Abstract: This is an Open Access article distributed under the terms of the Creative Commons Attribution-Noncommercial 4.0 Unported License, permitting all non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

Cited by 4 publications

References 7 publications

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

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

Dynamics Of Personality Development In Pre-Adolescence: Longitudinal Study

Simple neuro network algorithms for evaluating latent links of younger adolescent’s psychological characteristics

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