手法を比較

	二因子モデル（一般因子と特定因子）	マクドナルドのオメガ（ω）信頼性係数
分野	心理測定学	心理測定学
系統	Latent structure	Latent structure
提唱年	1937	1999
提唱者	Holzinger & Swineford (1937); modern revival by Reise (2012)	Roderick P. McDonald
種類	Confirmatory latent variable model	Reliability coefficient / latent variable model
原典	Reise, S. P. (2012). The Rediscovery of Bifactor Measurement Models. Multivariate Behavioral Research, 47(5), 667–696.	McDonald, R. P. (1999). Test Theory: A Unified Treatment. Lawrence Erlbaum Associates. ISBN: 978-0805830750
別名	Bifaktör Modeli — Genel ve Spesifik Faktörler, hierarchical factor model, general-specific factor model, Schmid-Leiman model	omega reliability, ω coefficient, omega total, omega hierarchical
関連	6	6
概要	The bifactor measurement model specifies that every indicator loads simultaneously on a single general factor and on one of several specific (group) factors. Formally introduced by Holzinger and Swineford in 1937 and brought into mainstream psychometrics by Reise (2012), it is now the standard tool for evaluating whether a multidimensional scale can legitimately yield a single composite score.	McDonald's omega is a factor-analysis-based reliability coefficient introduced by Roderick P. McDonald (1999) that quantifies the internal consistency of a composite score without requiring the restrictive assumption that all items contribute equally to the latent factor. It yields two complementary indices: ω_total, which captures overall reliability of the sum score, and ω_hierarchical (ωh), which reports how much of the composite's variance is explained specifically by a single general factor.