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| Bayesian Construct Validity Assessment× | Konvergente Validität× | |
|---|---|---|
| Fachgebiet | Psychometrie | Psychometrie |
| Familie | Latent structure | Latent structure |
| Entstehungsjahr≠ | 1955 / 2012 | 1959 |
| Urheber≠ | Cronbach & Meehl (validity framework); Muthén & Asparouhov (Bayesian SEM extension) | Donald T. Campbell & Donald W. Fiske |
| Typ≠ | Validity assessment / Bayesian inference | Validity evidence / construct validation |
| Wegweisende Quelle≠ | 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 ↗ |
| Aliasnamen≠ | Bayesian validity analysis, Bayesian CFA-based validity, Bayesian structural validity, posterior construct validity | convergent construct validity, convergence validity, AVE-based convergent validity |
| Verwandt≠ | 6 | 4 |
| Zusammenfassung≠ | 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. | Convergent validity is the degree to which multiple indicators that are theoretically expected to measure the same construct actually correlate with one another. It is one of the two complementary forms of construct validity identified by Campbell and Fiske (1959) and is now routinely assessed via factor loadings and the Average Variance Extracted (AVE) statistic in SEM-based scale validation. |
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