Evidence map›Paper›PMID 39231911›Full record

ArticleBehavior research methods2024

The role of individual differences in emotional word recognition: Insights from a large-scale lexical decision study.

Juan Haro, José Antonio Hinojosa, Pilar Ferré

Abstract read
In one paragraph

Article in Behavior research methods, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

10 citing papers in PubMed.

  1. Article
  2. The Effects of Individualized Arousal on Recognition Memory of Words.Behavioral sciences (Basel, Switzerland) · 2026
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Juan HaroDepartament de Psicologia and CRAMC, Universitat Rovira i Virgili, Carretera de Valls, s.n., 43007, Tarragona, Spain. juan.haro@urv.cat.ORCID 0000-0002-3456-4731
José Antonio HinojosaDepartamento de Psicología Experimental, Procesos Cognitivos y Logopedia, Universidad Complutense de Madrid, Madrid, Spain.
Pilar FerréDepartament de Psicologia and CRAMC, Universitat Rovira i Virgili, Carretera de Valls, s.n., 43007, Tarragona, Spain.

Funding

Ministerio de Ciencia e Innovación PID2019-107206GB-I00 /AEI/10.13039/501100011033Universitat Rovira i Virgili 2022PFR-URV-47
6 · The paper itself

Abstract

This work presents a large lexical decision mega-study in Spanish, with 918 participants and 7500 words, focusing on emotional content and individual differences. The main objective was to investigate how emotional valence and arousal influence word recognition, controlling for a large number of confounding variables. In addition, as a unique contribution, the study examined the modulation of these effects by individual differences. Results indicated a significant effect of valence and arousal on lexical decision times, with an interaction between these variables. A linear effect of valence was observed, with slower recognition times for negative words and faster recognition times for positive words. In addition, arousal showed opposite effects in positive and negative words. Importantly, the effect of emotional variables was affected by personality traits (extroversion, conscientiousness and openness to experience), age and gender, challenging the 'one-size-fits-all' interpretation of emotional word processing. All data collected in the study is available to the research community: https://osf.io/cbtqy . This includes data from each participant (RTs, errors and individual differences scores), as well as values of concreteness (n = 1690), familiarity (n = 1693) and age of acquisition (n = 2171) of the words collected exclusively for this study. This is a useful resource for researchers interested not only in emotional word processing, but also in lexical processing in general and the influence of individual differences.

Indexed as

EmotionsIndividualityRecognition, PsychologyAdolescentAdultArousalDecision MakingFemaleHumansMalePersonalityReaction TimeReadingYoung AdultEmotional valenceIndividual differencesLexical decision taskPersonality traitsWord recognition

Identifiers

PMID39231911
PMCPMC11525433

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.