Zeitschriftenartikel: Kriterien zur Sicherstellung der Reproduzierbarkeit quantitativ-empirischer Studien: Empfehlungen und Positivbeispiele

Enabling replication and reproduction of scientific work is pivotal for quality assurance independent of the original authors. Replication involves repeated data collection and data analysis under the same conditions, based on the given information in the publication and accompanying material. Reproduction means that based on available raw data or alternatively information documented in the publication, the same data are analysed again using the same procedures. Since the issue of reproducibility has so far received less attention in empirical educational research than that of replicability, this paper focuses on the procedure for ensuring the possibility of reproduction attempts in this field. We start from criteria that have been published in guidelines from neighbouring fields such as psychology or special needs education. Open data, metadata and code are introduced as central criteria for enabling reproduction attempts and information is given on which alternative criteria have to be fulfilled to check whether a work can be subjected to reproduction attempts if open data, metadata and code are not accessible. It is discussed how the use of public data repositories can help to ensure that all criteria are met and reproduction of quantitative analyses can be ensured despite the limited number of characters in journal publications.