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| Bayesian konvergente Validität× | Diskriminante Validität× | |
|---|---|---|
| Fachgebiet | Psychometrie | Psychometrie |
| Familie | Latent structure | Latent structure |
| Entstehungsjahr≠ | 2000s–2010s | 1959 |
| Urheber≠ | Building on Campbell & Fiske (1959) convergent validity; Bayesian extension developed in modern psychometrics literature | Donald T. Campbell and Donald W. Fiske |
| Typ≠ | Validity assessment / Bayesian inference | Validity evidence / psychometric evaluation |
| Wegweisende Quelle≠ | Levy, R. & Mislevy, R. J. (2016). Bayesian Psychometric Modeling. CRC Press. ISBN: 978-1466500952 | 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 convergent validity analysis, Bayesian MTMM convergent validity, Bayesian multitrait convergent validity, BCV | discriminant validity evidence, divergent validity, DV, AVE-based discriminant validity |
| Verwandt≠ | 6 | 5 |
| Zusammenfassung≠ | Bayesian convergent validity applies Bayesian statistical inference to assess whether different measures of the same construct converge as theory predicts. Rather than a single-point correlation estimate, it yields a full posterior distribution over the convergent correlation, enabling probability statements about the magnitude of shared variance between theoretically related measures. | 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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