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| Байєсівська розробка шкал× | Конфірматорний факторний аналіз (КФА)× | |
|---|---|---|
| Галузь | Психометрія | Психометрія |
| Родина | Latent structure | Latent structure |
| Рік появи≠ | 1990s–2000s | 1969 |
| Автор методу≠ | Harold Jeffreys, expanded into psychometrics by Mislevy and colleagues | Karl Gustav Jöreskog |
| Тип≠ | Bayesian probabilistic scale construction | Hypothesis-testing latent variable model |
| Основоположне джерело≠ | 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. DOI ↗ |
| Інші назви | Bayesian psychometric scale construction, Bayesian measurement modeling, Bayesian item development, BSD | CFA, confirmatory FA, measurement model, restricted factor analysis |
| Пов'язані≠ | 5 | 4 |
| Підсумок≠ | 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. |
| ScholarGateНабір даних ↗ |
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