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

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.

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Publication Details

Journal
Stats
Published
2026-02-04
DOI
https://doi.org/10.3390/stats9010014
Primary Topic
Meta-analysis and systematic reviews
Type
article
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article

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

Rudolf Golubich
Stats
Meta-analysis and systematic reviews
article

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

Rudolf Golubich
article en

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.

StatsVol. 9(1)
Wasser Cluster Lunz (AT)
Openalex Percentile: Top 69%
Meta-analysis and systematic reviews
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