The Definition of Indicators of the Allocation of the Characteristic Features in Gender Groups (on an Example of Faculty Students) Cover Image

Визначення показників розподілу характерних ознак у ґендерних групах (на прикладі студентів факультету)
The Definition of Indicators of the Allocation of the Characteristic Features in Gender Groups (on an Example of Faculty Students)

Author(s): Kateryna Akbash, Natalia Pasichnyk, Renat Rizhniak
Subject(s): Social Sciences, Economy, National Economy, Micro-Economics, Sociology, Human Resources in Economy, Socio-Economic Research
Published by: Кіровоградський національний технічний університет
Keywords: gender composition; correlation analysis; cluster analysis; factor gender proportion; gender parity index;

Summary/Abstract: The aim of the study is to determine the structure of the data on the gender part of the contingent of the Faculty students and their individual specific groups that were subjects of the educational process by the end of 2015-2016 the school years based on statistical and qualitative determination factors of the gender proportion.The article illustrates the application of statistical methods for the characterization of general and specific aspects in education, including socio-economic status of women and men. In order of achieving this goal the classification of data on the gender part of the contingent of students is conducted through correlation and cluster analysis of statistical data obtained as a result of determining gender proportion in terms of specialties and courses for each of the field: the number of people on budgetary form of education, the number of people receiving social and academic scholarship in the last two semesters of study.The study determined the structure of gender data on students and the influence on the results of cluster analysis and correlation availability of gender asymmetry. It was determined that the use of the gender factor share in statistical studies will enable to define a data structure of a given group (aggregate) taking into account the allocation ratio of combining characteristic features (dominant) in certain subgroups (sample).