Сравнение методов
Просматривайте выбранные методы рядом; строки с различиями подсвечены.
| Intercoder Reliability× | Krippendorff's Alpha× | |
|---|---|---|
| Область | Communication | Communication |
| Семейство | Process / pipeline | Process / pipeline |
| Год появления≠ | 1960 | 1970 |
| Автор метода≠ | Foundational coefficients by Cohen (1960) and Krippendorff (1970) | Klaus Krippendorff |
| Тип≠ | Procedure and coefficients for certifying coding agreement | Chance-corrected reliability coefficient for coded data |
| 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 ↗ | 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 ↗ |
| Другие названия | Inter-rater reliability, Coder agreement assessment, Reliability of coding, Kodlayıcılar Arası Güvenirlik | Krippendorff alpha, K-alpha, Alpha reliability coefficient, Krippendorff Alfa Katsayısı |
| Связанные | 4 | 4 |
| Сводка≠ | Intercoder reliability is the degree to which independent coders, applying the same coding scheme to the same content, arrive at the same coding decisions. In content analysis it is the central guarantee that findings reflect the messages rather than the idiosyncrasies of who happened to code them, and reporting a chance-corrected reliability coefficient is a near-universal requirement for publication in communication research. | 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. |
| ScholarGateНабор данных ↗ |
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