방법 비교

	일반화가능성 이론 (G-Theory)	크론바흐 알파 (신뢰도 분석)	상호평가자 신뢰도 (Cohen's κ 및 ICC)
분야	심리측정학	통계학	심리측정학
계열	Latent structure	Latent structure	Latent structure
기원 연도	1963	1951	1960 (kappa); 1979 (ICC)
창시자	Lee J. Cronbach and colleagues	Lee J. Cronbach	Cohen (kappa, 1960); Shrout & Fleiss (ICC, 1979)
유형	ANOVA-based variance-component framework	Reliability / internal consistency coefficient	Reliability / agreement analysis
원전	Brennan, R. L. (2001). Generalizability Theory. Springer.	Cronbach, L. J. (1951). Coefficient alpha and the internal structure of tests. Psychometrika, 16(3), 297–334.	Cohen, J. (1960). A Coefficient of Agreement for Nominal Scales. Educational and Psychological Measurement, 20(1), 37–46.
별칭	Generalizability Theory, G-Study / D-Study framework, Genellenebilirlik Kuramı (G-Kuramı)	coefficient alpha, alpha reliability, internal consistency reliability, Güvenilirlik Analizi (Cronbach Alpha)	inter-rater reliability, interrater agreement, rater agreement, Değerlendiriciler Arası Güvenilirlik (Cohen's κ, ICC)
관련	6	4	6
요약	Generalizability Theory, developed by Lee J. Cronbach and colleagues in the 1960s and formalised by Brennan (2001), is an ANOVA-based framework that extends Classical Test Theory by decomposing observed score variance into multiple, separately identified sources of measurement error — such as raters, tasks, occasions, or items — rather than bundling all error into a single undifferentiated term.	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.	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.