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Niezawodność międzyoceniająca (kappa Cohena i ICC)×Współczynnik Kappa Cohena×Alfa Cronbacha (Analiza Rzetelności)×
DziedzinaPsychometriaStatystykaStatystyka
RodzinaLatent structureHypothesis testLatent structure
Rok powstania1960 (kappa); 1979 (ICC)19601951
TwórcaCohen (kappa, 1960); Shrout & Fleiss (ICC, 1979)Jacob CohenLee J. Cronbach
TypReliability / agreement analysisInter-rater reliability coefficientReliability / internal consistency coefficient
Źródło pierwotneCohen, J. (1960). A Coefficient of Agreement for Nominal Scales. Educational and Psychological Measurement, 20(1), 37–46. DOI ↗Cohen, J. (1960). A Coefficient of Agreement for Nominal Scales. Educational and Psychological Measurement, 20(1), 37–46. DOI ↗Cronbach, L. J. (1951). Coefficient alpha and the internal structure of tests. Psychometrika, 16(3), 297–334. DOI ↗
Inne nazwyinter-rater reliability, interrater agreement, rater agreement, Değerlendiriciler Arası Güvenilirlik (Cohen's κ, ICC)kappa coefficient, kappa statistic, Cohen's Kappa (Değerlendiriciler Arası Uyum)coefficient alpha, alpha reliability, internal consistency reliability, Güvenilirlik Analizi (Cronbach Alpha)
Pokrewne634
PodsumowanieInterrater 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.Cohen's kappa (κ) is a statistical measure of inter-rater reliability for categorical classifications, introduced by Jacob Cohen in 1960. Unlike simple percent agreement, kappa corrects for the level of agreement that would be expected purely by chance, making it the standard metric when two raters independently assign observations to the same set of mutually exclusive categories.Cronbach's alpha is a coefficient of internal consistency that quantifies the degree to which a set of items on a scale measures the same underlying construct. Introduced by Lee J. Cronbach in 1951, it remains the most widely reported reliability index in social-science, health, and educational research.
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