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| ベイジアン構成概念妥当性評価× | 判別妥当性× | |
|---|---|---|
| 分野 | 心理測定学 | 心理測定学 |
| 系統 | Latent structure | Latent structure |
| 提唱年≠ | 1955 / 2012 | 1959 |
| 提唱者≠ | Cronbach & Meehl (validity framework); Muthén & Asparouhov (Bayesian SEM extension) | Donald T. Campbell and Donald W. Fiske |
| 種類≠ | Validity assessment / Bayesian inference | Validity evidence / psychometric evaluation |
| 原典≠ | Muthén, B. & Asparouhov, T. (2012). Bayesian structural equation modeling: A more flexible representation of substantive theory. Psychological Methods, 17(3), 313–335. DOI ↗ | Campbell, D. T., & Fiske, D. W. (1959). Convergent and discriminant validation by the multitrait-multimethod matrix. Psychological Bulletin, 56(2), 81–105. DOI ↗ |
| 別名 | Bayesian validity analysis, Bayesian CFA-based validity, Bayesian structural validity, posterior construct validity | discriminant validity evidence, divergent validity, DV, AVE-based discriminant validity |
| 関連≠ | 6 | 5 |
| 概要≠ | Bayesian construct validity assessment uses Bayesian confirmatory factor analysis and related Bayesian structural equation models to evaluate whether a scale or test measures the intended latent construct. It yields full posterior distributions for factor loadings, structural coefficients, and model-fit indices rather than single point estimates, enabling more nuanced and uncertainty-aware validity conclusions. | Discriminant validity is evidence that a latent construct is empirically distinct from other constructs it should differ from. Originating in Campbell and Fiske's multitrait-multimethod framework (1959), it is a core component of construct validity and a mandatory check in scale development and structural equation modeling. |
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