手法を比較

	ベイジアン・マクドナルドのオメガ	確認的因子分析（CFA）
分野	心理測定学	心理測定学
系統	Latent structure	Latent structure
提唱年	1999 (omega); 2010s (Bayesian estimation)	1969
提唱者	R. P. McDonald (omega); Bayesian extension developed by Kelley, Pornprasertmanit, and others	Karl Gustav Jöreskog
種類	Reliability / internal consistency estimation	Hypothesis-testing latent variable model
原典	Kelley, K. & Pornprasertmanit, S. (2016). Confidence intervals for population reliability coefficients: Evaluation of methods, recommendations, and software for composite measures. Psychological Methods, 21(1), 69–92.	Jöreskog, K. G. (1969). A general approach to confirmatory maximum likelihood factor analysis. Psychometrika, 34(2), 183–202.
別名	Bayesian omega, Bayesian composite reliability, posterior omega, Bayesian omega total	CFA, confirmatory FA, measurement model, restricted factor analysis
関連	3	4
概要	Bayesian McDonald's omega applies Bayesian statistical estimation to the omega reliability coefficient, yielding a full posterior distribution over omega rather than a single point estimate. This provides credible intervals and probabilistic uncertainty quantification for the reliability of a composite or scale score, making it especially useful for small samples and complex factor structures.	Confirmatory factor analysis tests a researcher-specified factor structure against observed data. Unlike exploratory approaches, the researcher decides in advance which indicators load on which latent factor, and the model is evaluated by how closely the implied covariance matrix reproduces the sample covariance matrix. CFA is central to scale validation, construct validity assessment, and measurement invariance testing.