方法对比

	贝叶斯量表开发	验证性因子分析（CFA）
领域	心理测量学	心理测量学
方法族	Latent structure	Latent structure
起源年份	1990s–2000s	1969
提出者	Harold Jeffreys, expanded into psychometrics by Mislevy and colleagues	Karl Gustav Jöreskog
类型	Bayesian probabilistic scale construction	Hypothesis-testing latent variable model
开创性文献	De Ayala, R. J. (2009). The Theory and Practice of Item Response Theory. Guilford Press. ISBN: 978-1593858698	Jöreskog, K. G. (1969). A general approach to confirmatory maximum likelihood factor analysis. Psychometrika, 34(2), 183–202.
别名	Bayesian psychometric scale construction, Bayesian measurement modeling, Bayesian item development, BSD	CFA, confirmatory FA, measurement model, restricted factor analysis
相关	5	4
摘要	Bayesian scale development applies Bayesian statistical inference to the construction and evaluation of psychometric scales. Rather than relying on single point estimates of item and person parameters, it produces full posterior distributions that quantify uncertainty, incorporate prior knowledge, and support principled decisions about item retention, reliability, and validity in small or complex samples.	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.