EDP Sciences logo
Web of Conferences logo
Search
Menu
All issues Volume 75 (2020) SHS Web Conf., 75 (2020) 04005 References
Open Access
Issue
SHS Web Conf.
Volume 75, 2020
The International Conference on History, Theory and Methodology of Learning (ICHTML 2020)
Article Number 04005
Number of page(s) 7
Section Methodology of Learning, Education and Training
DOI https://doi.org/10.1051/shsconf/20207504005
Published online 26 March 2020
  1. Secondary Data Analysis Initiative (SDAI) - open call, https://esrc.ukri.org/funding/fundingopportunities/secondary-data-analysis-initiativesdai- open-call (2020). Accessed 20 Feb 2020 [Google Scholar]
  2. J. Sobal, Teaching with Secondary Data. Teaching Sociology 8 (2),149–170 (1981). doi:10.2307/1316942 [Google Scholar]
  3. E. Smith, Pitfalls and promises: the use of secondary data analysis in educational research. British Journal of Educational Studies 56(3),323–339 (2008). doi:10.1111/j.1467-8527.2008.00405.x [Google Scholar]
  4. E. Smith, Using Secondary Data in Educational and Social Research (Open University Press, Maidenhead, Berkshire, 2008) [Google Scholar]
  5. T.P. Vartanian, Secondary Data Analysis (Oxford University Press, New York, 2011) [Google Scholar]
  6. Practical Methods for Secondary Data Analysis (2017), http://www.sph.umn.edu/site/docs/syllabi/Syllabi/20 17/Fall/PubH-6617.pdf. Accessed 30 Dec 2019 [Google Scholar]
  7. T. Logan, A practical, iterative framework for secondary data analysis in educational research. The Australian Educational Researcher 47, 129–148 (2020). doi:10.1007/s13384-019-00329-z [Google Scholar]
  8. V. Sherif, Evaluating Preexisting Qualitative Research Data for Secondary Analysis. Forum Qualitative Sozialforschung/Forum: Qualitative Social Research, 19(2),Art. 7 May (2018). doi:10.17169/fqs-19.2.282 [Google Scholar]
  9. M.P. Johnston, Secondary Data Analysis: A Method of which the Time Has Come. Qualitative and Quantitative Methods in Libraries 3(3),619–626 (2014), http://www.qqmljournal. net/index.php/qqml/article/view/169. Accessed 21 Mar 2020 [Google Scholar]
  10. J. Carter, S. Noble, A. Russell, E. Swanson, 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 (2011). doi:10.1080/1743727x.2011.609553 [Google Scholar]
  11. SAGE Publications, MethodSpace - Connecting the Research Community (2020), https://www.methodspace.com. Accessed 21 Mar 2020 [Google Scholar]
  12. N. Koziol, A. Arthur, An Introduction to Secondary Data Analysis. CYFS (2011), http://r2ed.unl.edu/presentations/2011/RMS/120911 _Koziol/120911_Koziol.pdf. Accessed 30 Dec 2019 [Google Scholar]
  13. Archive of Educational Data, http://www.icpsr.umich.edu/IAED/index.html (2019). Accessed 30 Dec 2019 [Google Scholar]
  14. Open data ZNO 2019 (2019), https://zno.testportal.com.ua/yearstat/uploads/Open DataZNO2019.7z. Accessed 30 Dec 2019 [Google Scholar]
  15. L. Panchenko, Methodology of using structural equation modeling in educational research. CEUR Workshop Proceedings 2393, 895–904 (2019), http://ceur-ws.org/Vol-2393/paper_411.pdf. Accessed 30 Dec 2019 [Google Scholar]
  16. Access the full survey by TALIS methodology raw data (in SPSS): TEACHERS_DATA, https://drive.google.com/open?id=1bzh6U7MnOaFS t_1CV1BsQndCuLX_WpWt. Accessed 20 Feb 2019 [Google Scholar]
  17. Questionnaires (in ukr): TEACHERS_Questionnaire, https://drive.google.com/open?id=1L6SHvqpMAGP zeLkp8Ksb9E-KXdnkd0sd. Accessed 20 Feb 2019 [Google Scholar]
  18. TALIS - The OECD Teaching and Learning International Survey (2019), http://www.oecd.org/education/talis/. Accessed 20 Feb 2019 [Google Scholar]
  19. L.F. Panchenko, Training Sociology Students in Computer Analysis of Demographic Processes and Structure. Information technologies and learning tools 65 (3),166–183 (2018). doi:10.33407/itlt.v65i3.2034 [Google Scholar]
  20. Bank danykh (Census) (2019), http://database.ukrcensus.gov.ua/MULT/Database/C ensus/databasetree_uk.asp. Accessed 30 Dec 2019 [Google Scholar]
  21. Package ‘survey’ (2020), https://cran.rproject. org/web/packages/survey/survey.pdf. Accessed 21 Mar 2020 [Google Scholar]
  22. Implementatsiia yevropeiskykh standartiv v ukrainski osvitni doslidzhennia (Implementation of European Standards in Ukrainian Educational Research), ed. by S. Shchudlo, O. Zabolotna, L. Zahoruiko. III International Scientific Conference of Ukrainian Association of Educational Research (21 Jun 2019). (TzOV “Trek-LTD”, Kyiv– Drohobych, 2019) [Google Scholar]
  23. Journal of Peace Research, http://journals.sagepub.com/home/jpr. Accessed 30 Dec 2018 [Google Scholar]
  24. Data Access & Research Transparency, https://www.dartstatement.org. Accessed 30 Dec 2018 [Google Scholar]
  25. F. Haass, Better peacekeepers, better protection? Troop quality of United Nations peace operations and violence against civilians. Journal of Peace Research 6 (2018) [Google Scholar]
  26. L.F. Panchenko, Prozorist doslidzhen z pytan myru ta konfliktiv: Journal of Peace Research (Transparency of Peace and Conflict Studies: Journal of Peace Research), in The Great Wars - the Great Transformations: Conflicts and Peace in the 20th and 21st Centuries. Materials of IX International Scientific and Practice Conference (Kyiv, 26-27 Nov 2018). (Kyiv, 2018), pp. 87–89 [Google Scholar]
  27. Program course ‘Use of electronic archives of social data’ (Taras Shevchenko National University of Kyiv), http://www.soc.univ.kiev.ua/uk/courses. Accessed 30 Dec 2019 [Google Scholar]
  28. I. Lovyanova, K. Vlasenko, A. Krasnoschok, D. Dmytriiev, R. Shponka, Modeling of ICT Competence Formation of Would-be Mathematics Teacher. Information Technologies and Learning Tools 74 (6),186–200 (2019). doi:10.33407/itlt.v74i6.2421 [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.