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)
![]() |
Text
271605.pdf - Published Version Available under License Creative Commons Attribution. 826kB |
Abstract
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]. |
Status: | Published |
Refereed: | Yes |
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: | 1364-6613 |
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 |
University Staff: Request a correction | Enlighten Editors: Update this record