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Rezension zu: Jičínská, Veronika (2014): Böhmische Themen bei Fritz Mauthner und Auguste Hauschner. Ústí nad Labem: Filozofická fakulta Univerzity J. E. Purkyně v Ústí nad Labem (Acta Universitatis Purkynianae, Facultatis Philosophicae Studia Germanica, Series Monographica 3), 126 S., 5 S. Anhang, ISBN 978-80-7414-692-3
Non-standard errors
(2021)
In statistics, samples are drawn from a population in a data-generating process (DGP). Standard errors measure the uncertainty in sample estimates of population parameters. In science, evidence is generated to test hypotheses in an evidence-generating process (EGP). We claim that EGP variation across researchers adds uncertainty: non-standard errors. To study them, we let 164 teams test six hypotheses on the same sample. We find that non-standard errors are sizeable, on par with standard errors. Their size (i) co-varies only weakly with team merits, reproducibility, or peer rating, (ii) declines significantly after peer-feedback, and (iii) is underestimated by participants.
