Secondary data analysis in educational research: opportunities for PhD students

• Main Authors: Panchenko Liubov, Samovilova Nataliia
• Format: Article
• Language: English
• Published: EDP Sciences 2020-01-01
• Series: SHS Web of Conferences
• Online Access: https://www.shs-conferences.org/articles/shsconf/pdf/2020/03/shsconf_ichtml_2020_04005.pdf

The article discusses the problem of using secondary data analysis (SDA) in educational research. The definitions of the SDA are analyzed; the statistics of journals articles with secondary data analysis in the field of sociology, social work and education is discussed; the dynamics of articles with data in the Journal of Peace Research 1988 to 2018 is conducted; the papers of Ukrainian conference “Implementation of European Standards in Ukrainian Educational Research” (2019) are analyzed. The problems of PhD student training to use secondary data analysis in their dissertation are discussed: the sources of secondary data analysis in the education field for Ukrainian PhD students are proposed, and the model of training of Ukrainian PhD students in the field of secondary data analysis is offered. This model consists of three components: theory component includes the theoretic basic of secondary data analysis; practice component contains the examples and tasks of using SDA in educational research with statistics software and Internet tools; the third component is PhD student support in the process of their thesis writing.