Сравнение методов
Просматривайте выбранные методы рядом; строки с различиями подсвечены.
| Feeling Thermometer Analysis× | Candidate Evaluation Model× | |
|---|---|---|
| Область | Политическая психология | Политическая психология |
| Семейство≠ | Process / pipeline | Latent structure |
| Год появления≠ | 1964 | 1995 |
| Автор метода≠ | American National Election Studies / Aage Clausen | Milton Lodge, Marco Steenbergen & Donald Kinder |
| Тип≠ | Affect rating instrument | Latent evaluation model |
| Основополагающий источник≠ | Wilcox, C., Sigelman, L., & Cook, E. (1989). Some like it hot: Individual differences in responses to group feeling thermometers. Public Opinion Quarterly, 53(2), 246-257. DOI ↗ | 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 ↗ |
| Другие названия | Feeling Thermometer, Affect Thermometer, Thermometer Rating Scale | Impression-Driven Evaluation Model, Online Processing Model, Candidate Trait Evaluation Model |
| Связанные | 4 | 4 |
| Сводка≠ | The feeling thermometer is a survey instrument that asks respondents to rate their warmth or favorability toward a person, group, or institution on a 0-to-100 scale, where 0 is very cold/unfavorable, 100 is very warm/favorable, and 50 is neutral. Introduced in the American National Election Studies in the 1960s, it is the standard measure of political affect, and its analysis underpins candidate evaluation, group affect, and affective-polarization research. | 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. |
| ScholarGateНабор данных ↗ |
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