Compară metode
Examinează metodele selectate una lângă alta; rândurile care diferă sunt evidențiate.
| Validitate convergentă longitudinală× | Validitate Convergentă× | |
|---|---|---|
| Domeniu | Psihometrie | Psihometrie |
| Familie | Latent structure | Latent structure |
| Anul apariției≠ | 1997–2003 | 1959 |
| Autorul original≠ | Cole & Maxwell; Widaman & Reise | Donald T. Campbell & Donald W. Fiske |
| Tip≠ | Validity evidence framework | Validity evidence / construct validation |
| Sursa seminală≠ | Cole, D. A. & Maxwell, S. E. (2003). Testing mediational models with longitudinal data: Questions and tips in the use of structural equation modeling. Journal of Abnormal Psychology, 112(4), 558–577. DOI ↗ | Campbell, D. T., & Fiske, D. W. (1959). Convergent and discriminant validation by the multitrait-multimethod matrix. Psychological Bulletin, 56(2), 81–105. DOI ↗ |
| Denumiri alternative≠ | longitudinal construct validity, repeated-measure convergent validity, cross-time convergent validity, temporal convergent validity | convergent construct validity, convergence validity, AVE-based convergent validity |
| Înrudite≠ | 6 | 4 |
| Rezumat≠ | Longitudinal convergent validity evaluates whether a scale's indicators correlate with theoretically related constructs not just at a single time point but consistently across repeated measurement occasions. It extends standard convergent validity testing into longitudinal designs to ensure that the scale measures the intended construct in the same meaningful way over time. | 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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