|
|
|
May 2025, № 2 (246), pages 14-21doi: 10.25198/1814-6457-246-14
Bykova A.S., Sakharova N.S., Enin A.V. APPLICATION OF STATISTICAL DATA PROCESSING METHODS IN THE STUDY OF INFO-COMMUNICATION SKILLS OF UNIVERSITY STUDENTSThe increasing complexity of the issues raised in contemporary research leads to the use of statistical methods. Due to the fact that in most cases indicators in pedagogical research cannot be measured directly, the use of statistical analysis can be complicated. The study of university students’ info-communication skills requires the processing of the obtained questionnaire data. It is necessary to review the principles and purposes of statistical analysis and data processing, describe and compare the features of each method of statistical data processing, and determine the most appropriate method applicable to the study of university students’ info-communication skills. There are three key principles of static data analysis: descriptive statistics, probability theory and logical statistics. The objectives of statistical data processing are to collect information, to divide the data according to the criterion of materiality for the study, to present the significant data in a visual form. Due to the large amount of experimental data, it is recommended to carry out the processing of data results using modern information technologies, which include the following statistical packages. The methods of statistical data processing include regression, factor, cluster, correlation and descriptive analyses. Descriptive analysis is used to describe, systematise and visualise research data in the form of a table. Cluster analysis is used to organise objects into clusters based on a common feature. Correlation analysis, regression analysis and factor analysis are used in research to identify the relationship between different attributes and to determine the relationship between several variables. Summarizing the results of the study, a table has been drawn up in which the methods of statistical processing of data have been compared and contrasted according to the following criteria: purpose, result, types, scope of application in the context of the study of info-communication skills of university students, advantages, disadvantages. There has been identified the use of descriptive analysis as the most appropriate method for the study, because it allows us to present information about the distribution of qualitative data that needs to be described. Key words: methods of statistical data processing, info-communication skills, regression analysis, factor analysis, cluster analysis, correlation analysis, descriptive analysis.
References:
1. Afanasyev V. N., Eremeyeva N. S. and Lebedeva T. V. (2017) Statistical methodology in scientific research textbook for graduate students. Orenburg: OGU, 245 p.
2. Bitkovsky D. I., Motorko A. V. and Alalvan A. R. D. (2018) Methods of statistical data processing in problems of identification of dynamic systems. Juvenis scientia, №1, pp. 9-12.
3. Bolshakov A. A. and Karimov R. N. (2015) Methods of processing multivariate data and time series: textbook for universities. 2nd edition, stereotype. Moscow: Hotline-Telecom, 522 p.
4. Bykova A. S. and Sakharova N. S. (2022) “The self-image” university students in co-education. Global scientific potential, № 8(137), pp. 10-14.
5. Bykova A. S. (2024) Principles of info-communication skills development in students’ project activity. Vestnik of Orenburg State University, № 3 (243), pp. 11-16.
6. Bykova A. S. and Sakharova N. S. (2023) Structure of info-communication skills in the context of the development of supraprofessional competences. Vestnik of Orenburg State University, № 2 (238), pp. 6-11.
7. Buyul A. and Zцfel P. (2005) SPSS: the art of information processing. Translated from German. Moscow: DiaSoft, 602 p.
8. Kalinin A. G. (2015) Data processing by methods of mathematical statistics: a monograph. Chita: ZIP SibUPK, 106 p.
9. Krasina I. B. and Danovich L. M. (2015) Statistical methods of experimental data processing. Krasnoda: Kuban State Technological University, 244 p.
10. Lapteva E. V. and Portnova L. V. (2022) Statistical methods of research in economics: textbook (second edition, revised and supplemented). Volgograd: Iz-vod ‘Sphere’, 234 p.
11. Lomovskoy R. A. (2023) Statistical data analysis: methods and applications in scientific research. Actual researches, 2023, № 15-1(145), pp. 29-34.
12. Nasledov A. D. (2013) IBM SPSS 20 Statistics and Amos: professional statistical data analysis. Saint-Petersburg: Piter, 413 p.
13. Orlov G. M., Ignatyeva O. A., Vasin A. G. et al. (2021) Modern methods of data processing and analysis. SPb.: ITMO University, 147 p.
14. Pugach O. I. (2003) Potential of educational statistics as an element of education management. Vestnik of Orenburg State University, №4, pp. 178-182.
15. Katsko I. A. (2017) Statistical methods of data processing: a workshop. Krasnodar: KubGAU, 89 p.
16. Khristidis T. V. and Novashina M. S. (2023) Methods of mathematical statistics in pedagogical research: theory and practice of application.Vestnik MGUKI, № 2 (112), pp. 111-122.
17. Shashkov V. B. (2005) Automated calculation of Pearson’s criterion (mathematical statistics without statistical tables). Vestnik of Orenburg State University, № 9, pp. 172-174.
18. Shorokhova I. S., Kislyak N. V. and Mariev O. S. (2015) Statistical methods of analysis: textbook. Ministry of Education and Science of the Russian Federation, Ural Federal University. Federation, Ural Federal University. Ekaterinburg: Pub. Ural. un-ty, 300 p.
19. Jackson Sherri L. (2008) Research Methods and Statistics: A Critical Thinking Approach, Third Edition. Wadsworth, Cengage Learning, 448 p.
20. Maravelakis P. (2019) The use of statistics in social sciences. Journal of Humanities and Applied Social Sciences, Vol. 1., № 2, pp. 87-97.
About this article
Authors: Bykova A.S., Saharova N.S., Enin A.V.
Year: 2025
doi: 10.25198/1814-6457-246-14
|
|
 Editor-in-chief |
Sergey Aleksandrovich MIROSHNIKOV |
|
|