Сравнение методов
Просматривайте выбранные методы рядом; строки с различиями подсвечены.
| Krippendorff's Alpha× | Framing Analysis× | |
|---|---|---|
| Область | Communication | Communication |
| Семейство | Process / pipeline | Process / pipeline |
| Год появления≠ | 1970 | 1993 |
| Автор метода≠ | Klaus Krippendorff | Robert M. Entman (synthesis); roots in Goffman, Tuchman, Gitlin |
| Тип≠ | Chance-corrected reliability coefficient for coded data | Interpretive-quantitative analysis of how messages select and emphasize aspects of reality |
| Основополагающий источник≠ | Hayes, A. F., & Krippendorff, K. (2007). Answering the call for a standard reliability measure for coding data. Communication Methods and Measures, 1(1), 77–89. DOI ↗ | Entman, R. M. (1993). Framing: Toward clarification of a fractured paradigm. Journal of Communication, 43(4), 51–58. DOI ↗ |
| Другие названия | Krippendorff alpha, K-alpha, Alpha reliability coefficient, Krippendorff Alfa Katsayısı | Frame analysis, Media framing analysis method, Frame mapping, Çerçeveleme Analizi |
| Связанные≠ | 4 | 5 |
| Сводка≠ | Krippendorff's alpha is a chance-corrected coefficient that quantifies the reliability of coding decisions made by two or more observers, and is the standard reliability statistic in communication content analysis. Unlike percent agreement, it corrects for the agreement expected by chance; unlike Cohen's kappa, it generalizes seamlessly to any number of coders, any measurement level (nominal, ordinal, interval, ratio), and data sets with missing values. | Framing analysis is a communication research method for studying how messages select certain aspects of a perceived reality and make them more salient — promoting a particular problem definition, causal interpretation, moral evaluation, and treatment recommendation. Building on Robert Entman's influential 1993 synthesis, it moves beyond counting what is present to reconstructing the organizing ideas, or frames, that give media coverage its meaning and persuasive shape. |
| ScholarGateНабор данных ↗ |
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