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Are larger studies always better? Sample size and data pooling effects in research communities

Waszek, David and Imbert, Cyrille (2022) Are larger studies always better? Sample size and data pooling effects in research communities. In: UNSPECIFIED.

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Abstract

The persistent pervasiveness of inappropriately small studies in empirical fields is regu-larly 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 limita-tion. 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 dis-cuss our findings briefly in terms of editorial policies.


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Item Type: Conference or Workshop Item (UNSPECIFIED)
Creators:
CreatorsEmailORCID
Waszek, Daviddavid.waszek@posteo.net. fr
Imbert, CyrilleCyrille.Imbert@univ-lorraine.fr0000-0003-2313-3458
Keywords: Bala-Goyal-Zollman model. Sample size. Small studies. Low power. Scientific collabo-ration. Data pooling. Resource limitation. Individual/collective discrepancy. Scientific diversity. Rational inertia. Editorial policies.
Subjects: General Issues > Data
General Issues > Computer Simulation
General Issues > Evidence
General Issues > Experimentation
General Issues > Formal Learning Theory
General Issues > Social Epistemology of Science
Depositing User: Cyrille Imbert
Date Deposited: 31 Aug 2022 04:56
Last Modified: 31 Aug 2022 04:56
Item ID: 21110
Subjects: General Issues > Data
General Issues > Computer Simulation
General Issues > Evidence
General Issues > Experimentation
General Issues > Formal Learning Theory
General Issues > Social Epistemology of Science
Date: April 2022
URI: https://philsci-archive-dev.library.pitt.edu/id/eprint/21110

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