Fiche du document
10 novembre 2022
- ISIDORE Id: 10670/1.a74bee...
- hal: hal-04034944
info:eu-repo/semantics/OpenAccess
Mots-clés
Bala-Goyal-Zollman model Sample size Small studies Low power Scientific collaboration Data pooling Resource limitation Individual/collective discrepancy Scientific diversity Rational inertia Editorial policies Bala-Goyal-Zollman model Sample size Small studies Low powerCiter ce document
David Waszek et al., « Are larger studies always better? Sample size and data pooling effects in research communities », HAL SHS (Sciences de l’Homme et de la Société), ID : 10670/1.a74bee...
Métriques
Partage / Export
Résumé
The persistent pervasiveness of inappropriately small studies in empirical fields is regularly deplored in scientific discussions. Consensually, taken individually, higher-powered studies are more likely to be truth-conducive. However, are they also beneficial for the wider performance of truth-seeking communities? We study the impact of sample sizes on collective exploration dynamics under ordinary conditions of resource limitation. We find that large collaborative studies, because they decrease diversity, can have detrimental effects in certain realistic circumstances that we characterize precisely. We show how limited inertia mechanisms may partially solve this pooling dilemma and discuss our findings briefly in terms of editorial policies.
