A linear mixed model analysis of masked repetition priming

  • We examined individual differences in masked repetition priming by re-analyzing item-level response-time (RT) data from three experiments. Using a linear mixed model (LMM) with subjects and items specified as crossed random factors, the originally reported priming and word-frequency effects were recovered. In the same LMM, we estimated parameters describing the distributions of these effects across subjects. Subjects’ frequency and priming effects correlated positively with each other and negatively with mean RT. These correlation estimates, however, emerged only with a reciprocal transformation of RT (i.e., -1/RT), justified on the basis of distributional analyses. Different correlations, some with opposite sign, were obtained (1) for untransformed or logarithmic RTs or (2) when correlations were computed using within-subject analyses. We discuss the relevance of the new results for accounts of masked priming, implications of applying RT transformations, and the use of LMMs as a tool for the joint analysis of experimental effects andWe examined individual differences in masked repetition priming by re-analyzing item-level response-time (RT) data from three experiments. Using a linear mixed model (LMM) with subjects and items specified as crossed random factors, the originally reported priming and word-frequency effects were recovered. In the same LMM, we estimated parameters describing the distributions of these effects across subjects. Subjects’ frequency and priming effects correlated positively with each other and negatively with mean RT. These correlation estimates, however, emerged only with a reciprocal transformation of RT (i.e., -1/RT), justified on the basis of distributional analyses. Different correlations, some with opposite sign, were obtained (1) for untransformed or logarithmic RTs or (2) when correlations were computed using within-subject analyses. We discuss the relevance of the new results for accounts of masked priming, implications of applying RT transformations, and the use of LMMs as a tool for the joint analysis of experimental effects and associated individual differences.show moreshow less

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Metadaten
Author:Reinhold Kliegl, Michael E. J. Masson, Eike M. Richter
URN:urn:nbn:de:kobv:517-opus-57073
Series (Serial Number):Postprints der Universität Potsdam : Humanwissenschaftliche Reihe, ISSN 1866-8364 (paper 247)
Document Type:Postprint
Language:English
Date of Publication (online):2011/12/12
Year of Completion:2009
Publishing Institution:Universität Potsdam
Release Date:2011/12/12
Source:Visual Cognition. - ISSN 1464-0716. - 18 (2010), 5, S. 655 - 681
Organizational units:Humanwissenschaftliche Fakultät / Institut für Psychologie
Extern / Extern
Dewey Decimal Classification:4 Sprache / 40 Sprache / 400 Sprache
Licence (German):License LogoKeine Nutzungslizenz vergeben - es gilt das deutsche Urheberrecht
Notes extern:This is a preprint of an article whose final and definitive form was published in Visual Cognition
Kliegl, Reinhold , Masson, Michael E. J. and Richter, Eike M.(2010):'A linear mixed model analysis of masked repetition priming', Visual Cognition, 18: 5, 655 — 681, First published on: 03 August 2009. (iFirst)
DOI: 10.1080/13506280902986058  2009 Taylor & Francis