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Hierarchiczna omega McDonalda (ωh)×Alfa Cronbacha (Analiza Rzetelności)×
DziedzinaPsychometriaStatystyka
RodzinaLatent structureLatent structure
Rok powstania19991951
TwórcaRoderick P. McDonaldLee J. Cronbach
TypReliability / composite score validity coefficientReliability / internal consistency coefficient
Źródło pierwotneReise, S. P., Scheines, R., Widaman, K. F. & Haviland, M. G. (2013). Multidimensionality and structural coefficient bias in structural equation modeling: A bifactor perspective. Educational and Psychological Measurement, 73(1), 5–26. DOI ↗Cronbach, L. J. (1951). Coefficient alpha and the internal structure of tests. Psychometrika, 16(3), 297–334. DOI ↗
Inne nazwyomega hierarchical, omega-h, bifactor omega, composite score validity coefficientcoefficient alpha, alpha reliability, internal consistency reliability, Güvenilirlik Analizi (Cronbach Alpha)
Pokrewne54
PodsumowanieMcDonald's hierarchical omega (ωh) is a coefficient derived from a bifactor confirmatory factor model that quantifies what proportion of total-score variance is attributable to a single general factor rather than to group-specific factors or item-level error. Introduced by Roderick P. McDonald (1999) and elaborated for bifactor applications by Reise and colleagues (2013) and Rodriguez and colleagues (2016), it is the primary index used in psychometrics to evaluate whether a composite total score is a defensible summary of a multidimensional scale.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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ScholarGatePorównaj metody: McDonald's Omega · Cronbach's Alpha. Pobrano 2026-06-18 z https://scholargate.app/pl/compare