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Надійна ретестова надійність×Надійність між експертами (каппа Коена та ICC)×
ГалузьПсихометріяПсихометрія
РодинаLatent structureLatent structure
Рік появи1990s–2000s1960 (kappa); 1979 (ICC)
Автор методуBuilt on classical test-retest reliability (Pearson, early 1900s); robust extensions formalized by Wilcox and colleagues from the 1990s onwardCohen (kappa, 1960); Shrout & Fleiss (ICC, 1979)
ТипReliability / measurement stabilityReliability / agreement analysis
Основоположне джерелоWilcox, R. R. (2012). Introduction to Robust Estimation and Hypothesis Testing (3rd ed.). Academic Press. ISBN: 978-0123869838Cohen, J. (1960). A Coefficient of Agreement for Nominal Scales. Educational and Psychological Measurement, 20(1), 37–46. DOI ↗
Інші назвиrobust temporal stability, outlier-resistant retest reliability, robust repeatability coefficient, robust intraclass correlationinter-rater reliability, interrater agreement, rater agreement, Değerlendiriciler Arası Güvenilirlik (Cohen's κ, ICC)
Пов'язані36
ПідсумокRobust test-retest reliability quantifies how consistently a measure ranks or scores the same individuals across two occasions while protecting the estimate from distortion by outliers and non-normal score distributions. It replaces or supplements classical Pearson-based correlation and standard ICC formulas with robust estimators of location, scale, and association.Interrater reliability quantifies the degree to which two or more independent raters produce consistent scores when evaluating the same individuals or products. The family encompasses Cohen's kappa, introduced in 1960 for categorical judgments, and the Intraclass Correlation Coefficient (ICC) for continuous ratings, together spanning most measurement scenarios encountered in behavioral, health, and educational research.
ScholarGateНабір даних
  1. v1
  2. 2 Джерела
  3. PUBLISHED
  1. v1
  2. 2 Джерела
  3. PUBLISHED

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ScholarGateПорівняння методів: Robust Test-Retest Reliability · Interrater Reliability. Отримано 2026-06-17 з https://scholargate.app/uk/compare