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A diffusion decision model analysis of evidence variability in the lexical decision task


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Tillman, G, Osth, AF, van Ravenzwaaij, D and Heathcote, A ORCID: 0000-0003-4324-5537 2017 , 'A diffusion decision model analysis of evidence variability in the lexical decision task' , Psychonomic Bulletin and Review, vol. 24, no. 6 , pp. 1949-1956 , doi: 10.3758/s13423-017-1259-y.

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The lexical-decision task is among the most commonly used paradigms in psycholinguistics. In both the signal-detection theory and Diffusion Decision Model (DDM; Ratcliff, Gomez, & McKoon, Psychological Review, 111, 159–182, 2004) frameworks, lexical-decisions are based on a continuous source of word-likeness evidence for both words and non-words. The Retrieving Effectively from Memory model of Lexical-Decision (REM–LD; Wagenmakers et al., Cognitive Psychology, 48(3), 332–367, 2004) provides a comprehensive explanation of lexical-decision data and makes the prediction that word-likeness evidence is more variable for words than non-words and that higher frequency words are more variable than lower frequency words. To test these predictions, we analyzed five lexical-decision data sets with the DDM. For all data sets, drift-rate variability changed across word frequency and non-word conditions. For the most part, REM–LD’s predictions about the ordering of evidence variability across stimuli in the lexical-decision task were confirmed.

Item Type: Article
Authors/Creators:Tillman, G and Osth, AF and van Ravenzwaaij, D and Heathcote, A
Keywords: lexical-decision task, diffusion decision model, REM-LD
Journal or Publication Title: Psychonomic Bulletin and Review
Publisher: Psychonomic Soc Inc
ISSN: 1069-9384
DOI / ID Number: 10.3758/s13423-017-1259-y
Copyright Information:

Copyright 2017 Psychonomic Society, Inc. This is a post-peer-review, pre-copyedit version of an article published in Psychonomic bulletin and review. The final authenticated version is available online at:

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