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Krippendorff's Alpha×Intercoder Reliability×
ГалузьCommunicationCommunication
РодинаProcess / pipelineProcess / pipeline
Рік появи19701960
Автор методуKlaus KrippendorffFoundational coefficients by Cohen (1960) and Krippendorff (1970)
ТипChance-corrected reliability coefficient for coded dataProcedure and coefficients for certifying coding agreement
Основоположне джерелоHayes, 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 ↗
Інші назвиKrippendorff alpha, K-alpha, Alpha reliability coefficient, Krippendorff Alfa KatsayısıInter-rater reliability, Coder agreement assessment, Reliability of coding, Kodlayıcılar Arası Güvenirlik
Пов'язані44
ПідсумокKrippendorff'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.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.
ScholarGateНабір даних
  1. v1
  2. 3 Джерела
  3. PUBLISHED
  1. v1
  2. 3 Джерела
  3. PUBLISHED

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ScholarGateПорівняння методів: Krippendorff's Alpha · Intercoder Reliability. Отримано 2026-06-24 з https://scholargate.app/uk/compare