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eduSTAT—Automated Workflows for the Analysis of Small- to Medium-Sized Datasets

Author

Listed:
  • Rudolf Golubich

    (Independent Researcher, Satzgasse 16, 7100 Neusiedl am See, Austria)

Abstract

This communication provides a citable methodological reference for eduSTAT (v1), an automated, rule-based workflow for the statistical analysis of small- to medium-sized datasets ( N ≈ 30 –3000). The web application is initially available in German and will be offered in English once it is established in German-speaking regions. It is developed with the aim of supporting early training in the scientific method and reducing the risk of spurious or inappropriate statistical analyses. The paper establishes the foundation for subsequent meta-analyses based on citation tracking of studies that apply eduSTAT, enabling iterative, data-driven improvement of the software.

Suggested Citation

  • Rudolf Golubich, 2026. "eduSTAT—Automated Workflows for the Analysis of Small- to Medium-Sized Datasets," Stats, MDPI, vol. 9(1), pages 1-5, February.
    • Handle: RePEc:gam:jstats:v:9:y:2026:i:1:p:14-:d:1857140
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