Confronta i metodi

	Affidabilità inter-rater (kappa di Cohen e ICC)	Confronto tra Metodi: Analisi di Bland-Altman
Campo	Psicometria	Statistica
Famiglia	Latent structure	Hypothesis test
Anno di origine	1960 (kappa); 1979 (ICC)	1986
Ideatore	Cohen (kappa, 1960); Shrout & Fleiss (ICC, 1979)	J. Martin Bland & Douglas G. Altman
Tipo	Reliability / agreement analysis	Graphical and statistical method comparison
Fonte seminale	Cohen, J. (1960). A Coefficient of Agreement for Nominal Scales. Educational and Psychological Measurement, 20(1), 37–46.	Bland, J.M. & Altman, D.G. (1986). Statistical Methods for Assessing Agreement Between Two Methods of Clinical Measurement. Lancet, 327(8476), 307–310.
Alias	inter-rater reliability, interrater agreement, rater agreement, Değerlendiriciler Arası Güvenilirlik (Cohen's κ, ICC)	Bland-Altman plot, limits of agreement analysis, method agreement analysis, Bland-Altman Uyum Analizi
Correlati	6	5
Sintesi	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.	The Bland-Altman analysis is a graphical and statistical technique for assessing agreement between two measurement methods applied to the same subjects. Introduced by J. Martin Bland and Douglas G. Altman in their landmark 1986 Lancet paper, it plots the difference between the two methods against their mean for each subject, and derives the bias (mean difference) along with limits of agreement (LoA) that capture 95% of differences in the population.