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

Download full text files

  •  SHA-1:fcb8f74c8742620e99693a24327ecf5d4776470b

Export metadata

Additional Services

Search Google Scholar Statistics
Metadaten
Author details:Reinhold KlieglORCiDGND, Michael E. J. Masson, Eike M. Richter
URN:urn:nbn:de:kobv:517-opus-57073
Publication series (Volume number):Zweitveröffentlichungen der Universität Potsdam : Humanwissenschaftliche Reihe (paper 247)
Publication type:Postprint
Language:English
Publication year:2009
Publishing institution:Universität Potsdam
Release date:2011/12/12
Source:Visual Cognition. - ISSN 1464-0716. - 18 (2010), 5, S. 655 - 681
Organizational units:Extern / Extern
Humanwissenschaftliche Fakultät / Strukturbereich Kognitionswissenschaften / Department Psychologie
DDC classification:4 Sprache / 40 Sprache / 400 Sprache
Institution name at the time of the publication:Humanwissenschaftliche Fakultät / Institut für Psychologie
License (German):License LogoKeine öffentliche Lizenz: Unter Urheberrechtsschutz
External remark: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
Accept ✔
This website uses technically necessary session cookies. By continuing to use the website, you agree to this. You can find our privacy policy here.