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Candidate Evaluation Model×Emotion Appraisal in Politics×
DomainePsychologie politiquePsychologie politique
FamilleLatent structureProcess / pipeline
Année d'origine19952000
Auteur d'origineMilton Lodge, Marco Steenbergen & Donald KinderGeorge Marcus, Russell Neuman & Michael MacKuen; Ted Brader
TypeLatent evaluation modelSurvey/lab experiment
Source fondatriceLodge, M., Steenbergen, M. R., & Brau, S. (1995). The responsive voter: Campaign information and the dynamics of candidate evaluation. American Political Science Review, 89(2), 309-326. DOI ↗Marcus, G. E., Neuman, W. R., & MacKuen, M. (2000). Affective intelligence and political judgment. Chicago: University of Chicago Press. ISBN: 9780226504698
AliasImpression-Driven Evaluation Model, Online Processing Model, Candidate Trait Evaluation ModelAffective Intelligence Experiment, Political Emotion Appraisal Study, Discrete Emotions Politics Measure
Apparentées44
RésuméA candidate evaluation model represents how voters form overall assessments of political candidates as a latent function of perceived traits (competence, leadership, integrity, empathy), partisanship, issue proximity, and affect. It spans the trait-based factor models of Kinder et al. (1980) and the online-processing tally model of Lodge, Steenbergen and Brau (1995), which describes evaluation as a running summary updated as information arrives.Emotion appraisal in politics studies how distinct emotions, anxiety, anger, enthusiasm, and others, arise from cognitive appraisals of political events and in turn shape attention, information seeking, persuasion, and participation. It combines appraisal theory with affective intelligence theory (Marcus, Neuman and MacKuen, 2000) and Brader's (2006) work on emotional campaign appeals, typically measured through experiments and surveys that elicit and analyze discrete emotional responses.
ScholarGateJeu de données
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ScholarGateComparer des méthodes: Candidate Evaluation Model · Emotion Appraisal in Politics. Consulté le 2026-06-25 sur https://scholargate.app/fr/compare