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ZENODO
Dataset . 2022
License: CC BY
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2022
License: CC BY
Data sources: Datacite
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Supplementary material for the paper "The DRM illusion in short-term memory: Opposite effects of retention interval on true and false recognition"

Authors: Campoy, Guillermo; Linde, María D.; Tortajada, M.; Palmero, Lucía B.; Martínez-Pérez, Víctor; Fuentes, Luis J.;

Supplementary material for the paper "The DRM illusion in short-term memory: Opposite effects of retention interval on true and false recognition"

Abstract

A short-term memory (STM) version of the Deese/Roediger-McDermott (DRM) paradigm was employed to investigate how true and false recognition evolved as STM contents were lost over a short time-window immediately after initial encoding. Presentation of six-word DRM lists were followed by list-specific recognition tests applied either immediately or after a distractor-filled retention interval of 3, 9, or 27 s. Results showed that the probability of true recognition decreased, and the probability of false recognition increased as the retention interval grew longer. Based on the fuzzy-trace theory, we suggest that this pattern emerged from the different durability in STM of item-specific phonological representations, which would play the dual role of supporting true memory and preventing false recognition, and integrative semantic representations, whose overlap with the critical items would give rise to the DRM illusion.

Related Organizations
Keywords

DRM paradigm, fuzzy-trace theory, short-term memory, short-term memory, false memory, DRM paradigm, false memory, Bayesian multilevel modelling

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average