Design and evaluation of an electronic performance support system for quantitative data analysis

KARAKAYA ÖZYER K., YILDIZ Z.

Education and Information Technologies, cilt.27, sa.2, ss.2407-2434, 2022 (SSCI) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 27 Sayı: 2
  • Basım Tarihi: 2022
  • Doi Numarası: 10.1007/s10639-021-10712-y
  • Dergi Adı: Education and Information Technologies
  • Derginin Tarandığı İndeksler: Social Sciences Citation Index (SSCI), Scopus, EBSCO Education Source, Educational research abstracts (ERA), ERIC (Education Resources Information Center), INSPEC
  • Sayfa Sayıları: ss.2407-2434
  • Anahtar Kelimeler: Electronic performance support system, Quantitative research, Statistical analysis, The design-based research, Turkish language, SCIENCE
  • Eskişehir Osmangazi Üniversitesi Adresli: Evet

Özet

© 2021, The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.The purpose of the current research was to develop an electronic performance support system (EPSS) for quantitative data analysis by using design-based research. https://nicelanalizlericindesteksistemi.blogspot.com/ website was designed in Turkish to address the needs of educational researchers. There were four phases in the study. In the first phase of the research, the tendencies, challenges, and problems of educational researchers in terms of quantitative research were identified. In the second phase, a prototype of the EPSS for quantitative data analysis was designed. In the third phase of the research, the EPSS was tested and evaluated in three cycles. The results of the need analysis demonstrated that there were many challenges that researchers faced, such as deciding on the appropriate statistical analysis, controlling the assumptions, making analysis with statistical software, interpreting the analysis results, and reporting the results according to the APA format. The results of the evaluation phase showed that the system proved to be useful to solve the problems encountered during the quantitative data analysis process.