Establishing the validity and robustness of facial electromyography measures for political science.


Journal

Politics and the life sciences : the journal of the Association for Politics and the Life Sciences
ISSN: 1471-5457
Titre abrégé: Politics Life Sci
Pays: England
ID NLM: 8800535

Informations de publication

Date de publication:
2024
Historique:
medline: 28 10 2024
pubmed: 28 10 2024
entrez: 28 10 2024
Statut: ppublish

Résumé

Opinion formation and information processing are affected by unconscious affective responses to stimuli-particularly in politics. Yet we still know relatively little about such affective responses and how to measure them. In this study, we focus on emotional valence and examine facial electromyography (fEMG) measures. We demonstrate the validity of these measures, discuss ways to make measurement and analysis more robust, and consider validity trade-offs in experimental design. In doing so, we hope to support scholars in designing studies that will advance scholarship on political attitudes and behavior by incorporating unconscious affective responses to political stimuli-responses that have too often been neglected by political scientists.

Identifiants

pubmed: 39465517
doi: 10.1017/pls.2023.26
pii: S0730938423000266
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

198-215

Subventions

Organisme : H2020 European Research Council
ID : 759079

Auteurs

Gijs Schumacher (G)

Department of Political Science, University of Amsterdam, Amsterdam, Netherlands.

Maaike D Homan (MD)

Organisational Behaviour Research Group, Utrecht University.

Isabella Rebasso (I)

Department of Government, University of Vienna, Vienna, Austria.

Neil Fasching (N)

Annenberg School for Communication, University of Pennsylvania, Philadelphia, PA, USA.

Bert N Bakker (BN)

Amsterdam School of Communication Research, University of Amsterdam, Amsterdam, Netherlands.

Matthijs Rooduijn (M)

Department of Political Science, University of Amsterdam, Amsterdam, Netherlands.

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Classifications MeSH