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| Diskriminante Validität× | Bestätigende Faktorenanalyse (CFA)× | |
|---|---|---|
| Fachgebiet | Psychometrie | Psychometrie |
| Familie | Latent structure | Latent structure |
| Entstehungsjahr≠ | 1959 | 1969 |
| Urheber≠ | Donald T. Campbell and Donald W. Fiske | Karl Gustav Jöreskog |
| Typ≠ | Validity evidence / psychometric evaluation | Hypothesis-testing latent variable model |
| Wegweisende Quelle≠ | Campbell, D. T., & Fiske, D. W. (1959). Convergent and discriminant validation by the multitrait-multimethod matrix. Psychological Bulletin, 56(2), 81–105. DOI ↗ | Jöreskog, K. G. (1969). A general approach to confirmatory maximum likelihood factor analysis. Psychometrika, 34(2), 183–202. DOI ↗ |
| Aliasnamen | discriminant validity evidence, divergent validity, DV, AVE-based discriminant validity | CFA, confirmatory FA, measurement model, restricted factor analysis |
| Verwandt≠ | 5 | 4 |
| Zusammenfassung≠ | 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. | 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. |
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