@Article{Ince2022,
  author          = {Ince, Robin A. A. and Kay, Jim W. and Schyns, Philippe G.},
  journal         = {Trends in cognitive sciences},
  title           = {Within-participant statistics for cognitive science.},
  year            = {2022},
  issn            = {1879-307X},
  month           = aug,
  pages           = {626--630},
  volume          = {26},
  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.},
  citation-subset = {IM},
  completed       = {2022-07-15},
  country         = {England},
  doi             = {10.1016/j.tics.2022.05.008},
  groups          = {Statistics},
  issn-linking    = {1364-6613},
  issue           = {8},
  keywords        = {Cognitive Science; Humans; Probability; individual differences; inference; prevalence; replicability; statistics; within-participant},
  nlm-id          = {9708669},
  owner           = {NLM},
  pii             = {S1364-6613(22)00114-0},
  pmid            = {35710894},
  pubmodel        = {Print-Electronic},
  pubstate        = {ppublish},
  revised         = {2022-07-15},
}

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