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Переглядайте обрані методи поруч; рядки з відмінностями підсвічено.
| Candidate Evaluation Model× | Emotion Appraisal in Politics× | |
|---|---|---|
| Галузь | Політична психологія | Політична психологія |
| Родина≠ | Latent structure | Process / pipeline |
| Рік появи≠ | 1995 | 2000 |
| Автор методу≠ | Milton Lodge, Marco Steenbergen & Donald Kinder | George Marcus, Russell Neuman & Michael MacKuen; Ted Brader |
| Тип≠ | Latent evaluation model | Survey/lab experiment |
| Основоположне джерело≠ | Lodge, 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 |
| Інші назви | Impression-Driven Evaluation Model, Online Processing Model, Candidate Trait Evaluation Model | Affective Intelligence Experiment, Political Emotion Appraisal Study, Discrete Emotions Politics Measure |
| Пов'язані | 4 | 4 |
| Підсумок≠ | A 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. |
| ScholarGateНабір даних ↗ |
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