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Visaptverošās teorija (G-teorija)×Intraklases korelācijas koeficients (ICC)×
NozarePsihometrijaStatistika
SaimeLatent structureHypothesis test
Izcelsmes gads19631979
AutorsLee J. Cronbach and colleaguesShrout & Fleiss
TipsANOVA-based variance-component frameworkReliability / agreement coefficient
PirmavotsBrennan, R. L. (2001). Generalizability Theory. Springer. link ↗Shrout, P.E. & Fleiss, J.L. (1979). Intraclass Correlations: Uses in Assessing Rater Reliability. Psychological Bulletin, 86(2), 420–428. DOI ↗
Citi nosaukumiGeneralizability Theory, G-Study / D-Study framework, Genellenebilirlik Kuramı (G-Kuramı)ICC, intraclass correlation, rater reliability coefficient, Sınıf İçi Korelasyon Katsayısı (ICC)
Saistītās65
KopsavilkumsGeneralizability 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.The Intraclass Correlation Coefficient (ICC) is a parametric reliability statistic that quantifies the degree of agreement or consistency among repeated measurements or multiple raters on a continuous outcome. The modern six-form taxonomy was established by Shrout and Fleiss in 1979 and remains the standard framework for selecting and reporting ICC in inter-rater reliability, test-retest repeatability, and multilevel-data analyses.
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ScholarGateSalīdzināt metodes: G-Theory · Intraclass Correlation Coefficient. Izgūts 2026-06-19 no https://scholargate.app/lv/compare