השוואת שיטות

	אומגה היררכית של מקדונלד (ωh)	אלפא של קרונבך (ניתוח מהימנות)
תחום	פסיכומטריה	סטטיסטיקה
משפחה	Latent structure	Latent structure
שנת המקור	1999	1951
הוגה השיטה	Roderick P. McDonald	Lee J. Cronbach
סוג	Reliability / composite score validity coefficient	Reliability / internal consistency coefficient
מקור מכונן	Reise, 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.	Cronbach, L. J. (1951). Coefficient alpha and the internal structure of tests. Psychometrika, 16(3), 297–334.
כינויים	omega hierarchical, omega-h, bifactor omega, composite score validity coefficient	coefficient alpha, alpha reliability, internal consistency reliability, Güvenilirlik Analizi (Cronbach Alpha)
קשורות	5	4
תקציר	McDonald'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.