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

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Authors: Rudolf Golubich
Cited by: 0
References: 10

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.

Fields of Study & Subjects

Statistics Education and Methodologies Scientific Computing and Data Management Research Data Management Practices

Publication details

Journal / source
Stats
Volume
9
Issue
1
Pages
14–14
Publication date
4 February 2026
Language
EN