Within-participant statistics for cognitive science

Ince, R. A.A. , Kay, J. W. and Schyns, P. G. (2022) Within-participant statistics for cognitive science. Trends in Cognitive Sciences, 26(8), pp. 626-630. (doi: 10.1016/j.tics.2022.05.008) (PMID:35710894) (PMCID:PMC9586881)

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Experimental studies in cognitive science typically focus on the population average effect. An alternative is to test each individual participant and then quantify the proportion of the population that would show the effect: the prevalence, or participant replication probability. We argue that this approach has conceptual and practical advantages.

Item Type:Articles
Additional Information:RAAI was supported by the Wellcome Trust [214120/ Z/18/Z]. PGS was supported by the EPSRC [MURI 1720461] and the Wellcome Trust [107802]. PGS is a Royal Society Wolfson Fellow [RSWF\R3\183002].
Glasgow Author(s) Enlighten ID:Schyns, Professor Philippe and Kay, Dr James and Ince, Dr Robin
Authors: Ince, R. A.A., Kay, J. W., and Schyns, P. G.
College/School:College of Medical Veterinary and Life Sciences > School of Psychology & Neuroscience
College of Science and Engineering > School of Mathematics and Statistics > Statistics
Journal Name:Trends in Cognitive Sciences
Publisher:Elsevier (Cell Press)
ISSN (Online):1879-307X
Published Online:13 June 2022
Copyright Holders:Copyright © 2022 The Authors
First Published:First published in Trends in Cognitive Sciences 26(8): 626-630
Publisher Policy:Reproduced under a Creative Commons licence

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Project CodeAward NoProject NamePrincipal InvestigatorFunder's NameFunder RefLead Dept
304240Beyond Pairwise Connectivity: developing an information theoretic hypergraph methodology for multi-modal resting state neuroimaging analysisRobin InceWellcome Trust (WELLCOTR)214120/Z/18/ZCentre for Cognitive Neuroimaging
172413Brain Algorithmics: Reverse Engineering Dynamic Information Processing Networks from MEG time seriesPhilippe SchynsWellcome Trust (WELLCOTR)107802/Z/15/ZCentre for Cognitive Neuroimaging
307582tbcPhilippe SchynsThe Royal Society (ROYSOC)RSWF\R3\183002Centre for Cognitive Neuroimaging