Using Statistical Methods for Analysis of the Implementation of Reforms of the New Ukrainian School

Keywords: survey sampling, sample design, monitoring studies, New Ukrainian School, statistical criteria.


Methods of statistical analysis, in particular sample surveys to monitor implementation of the New Ukrainian School, are analyzed in the article. The topical issues that need to be addressed in evaluating secondary education reforms are outlined: the attitude of teachers belonging to all age categories to the reform of the New Ukrainian School, the accessibility and effectiveness of professional development courses, the readiness to develop new educational programs, and the material equipment of classrooms depending on the type of area (urban or rural).

The aim of the article is to obtain relevant statistical data on education and sup up the experience of monitoring studies in education using a combination of statistical methods. The article is based on general scientific methods: analysis and synthesis, comparisons, analysis of contingency tables, graphical method, etc. The correlation between the teacher’s age and his/her attitude to reform, the teacher’s training and retraining and his/her ability and desire to master new teaching methods, material support of the educational process and the type of area was analyzed. The hypotheses about the correlation of variables and the agreement of the respondents’ opinions were tested.

The practice of implementing monitoring studies to meet the demands of administrations in analytical information on education is discussed. It is emphasized that more effective statistical and information technologies, forms and methods of statistical observations, including special and sample surveys, need to be used in statistical studies as an alternative to the traditional reporting. The need for elaborating methodological and organizational issues in plans of particular surveys with consideration to information support and advanced Internet, information & communication and digital technologies is highlighted.

The end result of the study is to obtain statistically reliable data for analysis which results will enable to formulate conclusions and recommendations for actors of the educational process. The produced information can be useful for education authorities as the basis for taking administrative decisions.


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Londar, S., Horna, M. (2021). Rozvytok mizhnarodnoi statystyky osvity dlia zabezpechennia monitorynhu dosiahnennia 4-i Тsili staloho rozvytku [Education statistics and monitoring tools for achieving the 4st Goal of Sustainable Development]. Osvitnia analityka Ukrainy – Educational analytics of Ukraine, 2, 5–19. Retrieved from content/uploads/2021/07/EAU_213_2021-full.pdf [in Ukrainian].

Results of Monitoring Studies (2021). State Scientific Institution “Institute of Educational Analytics” (IEA). Retrieved from

Zahalnoderzhavne monitorynhove doslidzhennia vprovadzhennia reformy NUSh. Informatsiyno-analitychni materialy [Nationwide monitoring study implementation of the reform of the NUS]. (2021). Kyiv: MON Ukrainy, DNU “Instytut osvitnoi analityky”. Retrieved from [in Ukrainian].

Honchar, I. A. (2013). Statystychne otsiniuvannya yakosti osvity Ukrainy za reitynhamy VNZ [Statistical evaluation of the education quality in Ukraine by university ratings]. Proceeding from 21st Century Statistics: New Challenges, New Opportunities: II Mizhnarodna naukovo-praktychna konferentsiia (29–31 travniya 2013 roku) – II International Scientific and Practical Conference (pp. 43–44). Kyiv: Taras Shevchenko National University. Retrieved from [in Ukrainian].

Parfentseva, N. O., & Kulynych, R. O. (2011). Statystychne vyvchennia sotsialno-ekonomichnoho rozvytku Ukrainy [Statistical study of socio-economic development of Ukraine]. Kyiv: NASОА [in Ukrainian].

Gerasymenko, S., Gerasymenko, V., & Chupryna, O. (2015). Statistical Provision of the Management of the Higher Education Quality in Ukraine. Visnyk Kyyivskoho natsionalnoho universytetu imeni Tarasa Shevchenka. Ekonomika – Bulletin of Taras Shevchenko National University of Kyiv. Economics, 4 (169), 6–9. Retrieved from

Metodolohichni polozhennia derzhavnoho statystychnoho sposterezhennia shchodo merezhi ta diialnosti zakladiv osvity: zatverdzheno Nakazom Derzhavnoi sluzhby statystyky vid 09.06.2021 r. № 111. [Methodological provisions of the state statistical survey on the network and activities of educational institutions: approved by Order of the State Statistics Service of June 9, 2021 № 111]. Retrieved from [in Ukrainian].

Yerina, A., Palian, Z. (2019). Statystychni sposterezhennia: perepysy, monitorynhy, vybirkovi obstezhennia [Statistical observations: censuses, monitoring, sample surveys]. Kyiv: KNU imeni Tarasa Shevchenka [in Ukrainian].

Wu, A. H. (2020). Gender bias in rumors among professionals: An identity-based interpretation. Review of Economics and Statistics, Vol. 102 (5), рр. 867–880. DOI:10.1162/rest_a_00877

Bulatova, O., Osaulenko, O., & Zakharova, O. (2021). Monitoring and evaluation of the level of development of the european regional security complex. Baltic Journal of Economic Studies, 7 (1), 27–38. Retrieved from

Sarioglo, V. (2012). Otsiniuvannia sotsialno-ekonomichnykh pokaznykiv: prykladni aspekty zastosuvannia nepriamykh metodiv [Evaluation of socio-economic indicators: applied aspects application of indirect methods]. Kyiv: Ptoukha Institute for Demography and Social Studies of the NAS of Ukraine [in Ukrainian].

Hladun, O., Vashchaieva, N. (2007). Dyzain vybirky ta problemy yoho optymizatsii [Sampling design and problems of its optimization]. Problemy teorii ta metodolohii bukhhalterskoho obliku, kontroliu i analizu – Problems of theory and methodology of accounting, control and analysis, 2 (8), 31–39 [in Ukrainian].

Designing Household Survey Samples: Practical Guidelines. (2005). New York: United Nations. Retrieved from

Australian Bureau of Statistics (2005). Labour statistics: concepts, sources and methods. Canberra: Statistical Concepts Library. Open Document Catalogue No. 6102.0.55.001. Retrieved from

Brogan, D. (2005). Sampling Error Estimation for Survey Data. Household Sample Surveys in Developing and Transition Countries. ST/ESA/STAT/SER.F/96/WWW. Section E, Chapter XXI. 447–490. Retrieved from

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How to Cite
HornaМ. O., & Ishchuk, Y. V. (2022). Using Statistical Methods for Analysis of the Implementation of Reforms of the New Ukrainian School. Statistics of Ukraine, 95(4), 43-52.