2024
DOI: 10.31234/osf.io/rdegq
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Multinomial Models of the Repetition-Based Truth Effect: Disentangling Processing Fluency and Knowledge

Oliver Schmidt,
Daniel W. Heck

Abstract: The repetition-based truth effect refers to the phenomenon that repeated statements are more likely judged as ‘true’ than new statements. Fazio et al. (2015) developed two multinomial processing tree (MPT) models to account for truth judgments. The knowledge-conditional model assumes that repetition leads to a shift in response bias conditional on a lack of knowledge. In contrast, the fluency-conditional model assumes that knowledge is used only when not relying on processing fluency, which results in a reduce… Show more

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