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Updated: Mar 27, 2026

Lexical Decision Task for Studying Written Word Recognition in Adults with and without Dementia or Mild Cognitive Impairment
Published on: June 25, 2019
Slower Perception Followed by Faster Lexical Decision in Longer Words: A Diffusion Model Analysis
Yulia Oganian1, Eva Froehlich2, Ulrike Schlickeiser2
1Department of Education and Psychology, Freie Universitaet BerlinBerlin, Germany; Bernstein Center for Computational Neuroscience Berlin, CharitéBerlin, Germany; Dahlem Institute for Neuroimaging of Emotion, Freie Universitaet BerlinBerlin, Germany; Center for Cognitive Neuroscience, Freie Universitaet BerlinBerlin, Germany.
The word length effect (WLE) in lexical decision tasks shows inconsistent findings for real words. A diffusion model analysis revealed opposing effects of word length on perceptual encoding and evidence accumulation, explaining these discrepancies.
Area of Science:
- Cognitive Psychology
- Psycholinguistics
- Computational Neuroscience
Background:
- The word length effect (WLE) in lexical decision tasks is well-documented for non-words but inconsistent for real words.
- Previous research indicates WLE magnitude varies with orthographic transparency across languages.
- Existing studies report conflicting results, including no effect or even faster reaction times (RTs) for longer real words.
Purpose of the Study:
- To investigate the underlying cognitive processes of the WLE in German-English bilinguals using a diffusion model (DM).
- To compare the explanatory power of DM analysis with a traditional linear regression approach.
- To elucidate how orthographic transparency and stimulus length interact in lexical decision.
Main Methods:
- Employed a diffusion model (DM) analysis to characterize RT-accuracy distributions by parameters reflecting latent sub-processes.
- Utilized a linear regression approach as a comparative method.
- Examined lexical decision performance in German-English bilinguals for words and pseudo-words of varying lengths.
Main Results:
- Linear regression showed decreased RTs with length for pseudo-words but no significant length effect for real words.
- DM analysis revealed that the null effect for real words arises from opposing influences of length on perceptual encoding and evidence accumulation.
- Perceptual encoding time increased with length for both words and pseudo-words; evidence accumulation rate increased with length for real words but decreased for pseudo-words.
Conclusions:
- The diffusion model successfully explains the inconsistent findings on the WLE for real words by dissecting opposing sub-process effects.
- Orthographic transparency appears to influence perceptual encoding, while length effects on evidence accumulation may relate to contextual information.
- These findings provide a more nuanced understanding of word recognition processes and the factors modulating the WLE.
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