Mathematical statistics in research: pedagogical aspect
https://doi.org/10.20913/2618-7515-2025-2-14
Abstract
Introduction. The relevance of the article is due to the problem of applying mathematical statistics methods in pedagogical research. Purpose setting. The purpose of the study is to summarize information about the use of the most common mathematical statistics methods in pedagogical research and to show their application in the research of the authors of the article. Methodology and methods of the study. The study includes a review of bibliographic and theoretical sources on the disclosure of the features of the use of mathematical statistics in the research of teachers and shows the paradox of mathematical statistics, which in itself does not reveal the essence of the phenomenon and does not explain the reasons for the differences between the individual sides of this phenomenon. Results. The results of the work include the description and analysis of problems related to the disclosure of the concepts of dependent and independent variables in pedagogical research, quantitative and qualitative research methods., criteria and indicators for evaluating research results. The idea is revealed that only the rational use of statistics allows the teacher to find dependencies between experimental data, to identify the presence or absence of trends in experimental and control groups. The authors propose methods of mathematical statistics that they have applied in their pedagogical research: the Fisher φ* criterion, the Kraskel-Wallis criterion, the Pearson chi-square criterion and the I.K. Shalaev methodology for evaluating the effectiveness of experimental work. Conclusion. In the final part of the paper, it is said that the problem of applying mathematical methods is practice-oriented and the success of scientific research depends not only on the creative thought of the researcher and the expansion of the range of his mathematical apparatus.
About the Authors
O. Yu ShitakovaRussian Federation
Olga Yu. Shitakova – postgraduate student
160 Dobrolyubova str., Novosibirsk, 630039
A. Yu. Guskov
Russian Federation
Alexander Yu. Guskov – postgraduate student
160 Dobrolyubova str., Novosibirsk, 630039
N. E. Gorbacheva
Russian Federation
Nataliya E. Gorbacheva – postgraduate student
160 Dobrolyubova str., Novosibirsk, 630039
R. V. Orlov
Russian Federation
Roman V. Orlov – associate professor
6/2 Klyuch-Kamyshenskoe Plato str., Novosibirsk, 630114
T. V. Sidorina
Russian Federation
Tatiana V. Sidorina – doctor of pedagogical sciences, professor
160, Dobrolyubova str., Novosibirsk, 630039; 6/2, Klyuch-Kamyshenskoe Plateau str., Novosibirsk, 630114
References
1. Myers D. Intuition. URL: https://www.livelib.ru/quote/42760037 intuitsiya-d-majers (accessed 11.01.2024). (in Russ.)
2. Kyveryalg A.A. Research methods in professional pedagogy. Tallinn, 1980. (in Russ.)
3. Mekhantsev B.E. Normalization of the application of statistical and mathematical methods in scientific and pedagogical research: abstract…. Candidate of Pedagogical Sciences. Sochi, 2011, 23 p. (in Russ.)
4. Drozdikova-Zaripova A.R. Application of mathematical methods in dissertation research on pedagogy. URL: https://core.ac.uk/reader/197437685 (accessed 11.01.2024). (in Russ.)
5. Chuiko L.V. Mathematical methods in pedagogy as a condition for improving the quality of education: abstract. diss…. Candidate of Pedagogical Sciences. Smolensk, 2006, 20 p. (in Russ.)
6. Itelson L.B. Mathematical and cybernetic methods in pedagogy. Moscow: Prosveshchenie Publ., 1964, 246 p. (in Russ.)
7. Fedotova G.A. Methodology and methodology of psychological and pedagogical research: textbook. stipend. Veliky Novgorod: NSU, 2006, 112 p.; Grabar M.I., Krasnyanskaya K.A. Application of mathematical statistics in pedagogical research. Nonparametric methods. Moscow: Pedagogika Publ., 1977, 136 p. (in Russ.)
8. Kiseleva O.M., Timofeeva N.M., Bykov A.A. Formalization of the elements of the educational process based on mathematical methods. Modern problems of science and education, 2013, no. 1, pp. 224. (in Russ.)
9. Zagvyazinsky V.I., Atakhanov R. Methodology and methods of psychological and pedagogical research: textbook. manual. Moscow: Academy Publ., 2001, 206 p. (in Russ.)
10. Nikandrov V.V. Method of modeling in psychology: textbook. manual. St. Petersburg: Rech Publ., 2003.
11. Kiseleva O.M. Theoretical and methodological aspects of the application of mathematical modeling methods in teaching computer science. Bulletin of I.A. Bunin Yelets State University. Yelets, 2010. pp. 101–104.
12. Osipova S.I., Butakova S.M., Dulinets T.G., Shaipova T.B. Mathematical methods in pedagogical research: textbook. Krasnoyarsk: SibFU, 2012, 264 p. (in Russ.)
13. Dubovitskaya T.D., Nesterova I.N. Is variance analysis necessary in pedagogical research. Pedagogical Journal of Bashkortostan, 2014, no. 1 (50), pp. 111–117. (in Russ.)
14. Bolshakova L.V., Yakovleva N.A. Theory of statistical hypothesis testing in mathematical and statistical research of pedagogical problems. Bulletin of the Saint Petersburg University of the Ministry of Internal Affairs of Russia, 2016, no. 4 (72), pp. 149–157. (in Russ.)
15. Shalaev I.K. Program-target psychology of management. Study guide. Barnaul: BSPU, 1998, 216 p. (in Russ.)
16. Podlinyaev O.L., Afanasyeva Zh.S., Afanasyev A.D. Methods of mathematical statistics and artificial intelligence tools for analyzing psychological and pedagogical research data. Psychopedagogy in law enforcement agencies, 2025, no. 1 (100), pp. 90–96. (in Russ.)
17. Ungureanu T.N., Grzhibovsky A.M. Comparison of three and more independent groups using the nonparametric Kruskal – Wallis test. Human Ecology, 2014, no. 6, pp. 55–58. (in Russ.)
18. Levin et al. Statistics for managers. Moscow: Williams Publ., 2004. (in Russ.)
Supplementary files
For citation: Shitakova O.., Guskov A.Y., Gorbacheva N.E., Orlov R.., Sidorina T.V. Mathematical statistics in research: pedagogical aspect. Professional education in the modern world. 2025;15(2):324-334. https://doi.org/10.20913/2618-7515-2025-2-14
Refbacks
- There are currently no refbacks.