Secondary data analysis in educational research: opportunities for doctoral students

Author:

Panchenko LiubovORCID,Samovilova NataliiaORCID

Abstract

The issue with applying secondary data analysis (SDA) in academic research is covered in the article. The definitions of SDA are examined, along with statistics on journal articles using secondary data analysis in the fields of sociology, social work, and education, the dynamics of articles using data in the Journal of Peace Research from 1988 to 2018, and the papers from the Ukrainian conference "Implementation of European Standards in Ukrainian Educational Research" (2019). The challenges of preparing PhD students to use secondary data analysis in their dissertations are examined. Secondary data analysis sources in the field of education for Ukrainian PhD students are suggested, and a model for preparing Ukrainian PhD students for secondary data analysis is provided. Three parts make up this model: the theory part, which covers the theoretical foundations of secondary data analysis; the practice part, which includes tasks and examples of using SDA in educational research using tools from the Internet and statistics software; and the third part, which is support for PhD students writing their theses.

Publisher

Department of Informatics and Cybernetics of Melitopol Bohdan Khmelnytsky State Pedagogical University

Subject

General Chemical Engineering

Reference26 articles.

1. Bank danykh (Census). (2019). Retrieved from http://database.ukrcensus.gov.ua/MULT/Database/Census/databasetree_uk.asp.

2. Carter, J., Noble, S., Russell, A., & Swanson, E. (2011). Developing statistical literacy using real-world data: investigating socioeconomic secondary data resources used in research and teaching. International Journal of Research & Method in Education, 34(3), 223–240. DOI: https://doi.org/10.1080/1743727X.2011.609553.

3. Data Access & Research Transparency. (2015). Retrieved from https://www.dartstatement.org.

4. Haass, F. & Ansorg, N. (2018). Better peacekeepers, better protection? Troop quality of United Nations peace operations and violence against civilians. Journal of Peace Research, 55(6), 742–758. DOI: https://doi.org/10.1177/0022343318785419.

5. Johnston, M. P. (2014). Secondary Data Analysis: A Method of which the Time Has Come. Qualitative and Quantitative Methods in Libraries, 3(3), 619–626. Retrieved from http://www.qqml-journal.net/index.php/qqml/article/view/169.

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