Methoden vergelijken
Bekijk de geselecteerde methoden naast elkaar; rijen die verschillen zijn gemarkeerd.
| Multi-groep Convergente Validiteit× | Convergente Validiteit× | |
|---|---|---|
| Vakgebied | Psychometrie | Psychometrie |
| Familie | Latent structure | Latent structure |
| Jaar van ontstaan≠ | 1981 / 2000 | 1959 |
| Grondlegger≠ | Fornell & Larcker (convergent validity criteria); Vandenberg & Lance (multi-group extension) | Donald T. Campbell & Donald W. Fiske |
| Type≠ | Validity assessment procedure | Validity evidence / construct validation |
| Oorspronkelijke bron≠ | Fornell, C. & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39–50. DOI ↗ | Campbell, D. T., & Fiske, D. W. (1959). Convergent and discriminant validation by the multitrait-multimethod matrix. Psychological Bulletin, 56(2), 81–105. DOI ↗ |
| Aliassen≠ | cross-group convergent validity, multi-sample convergent validity, MGCFA convergent validity, AVE across groups | convergent construct validity, convergence validity, AVE-based convergent validity |
| Verwant≠ | 6 | 4 |
| Samenvatting≠ | Multi-group convergent validity examines whether items purported to measure the same latent construct relate strongly to that construct consistently across distinct subgroups such as demographic categories, cultures, or experimental conditions. It extends single-sample convergent validity checks into a comparative multi-group confirmatory factor analysis framework. | 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. |
| ScholarGateGegevensset ↗ |
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