Compară metode
Examinează metodele selectate una lângă alta; rândurile care diferă sunt evidențiate.
| Validitatea discriminantă multinivelară× | Validitate Convergentă Multilevel× | |
|---|---|---|
| Domeniu | Psihometrie | Psihometrie |
| Familie | Latent structure | Latent structure |
| Anul apariției | 2005 | 2005 |
| Autorul original≠ | Dyer, Hanges, & Hall; Chen, Sousa, & West | Dyer, Hanges & Hall; Chen, Bliese & Mathieu |
| Tip≠ | Validity evaluation within multilevel CFA | Measurement validity evaluation |
| Sursa seminală≠ | Dyer, N. G., Hanges, P. J., & Hall, R. J. (2005). Applying multilevel confirmatory factor analysis techniques to the study of leadership. Leadership Quarterly, 16(1), 149–167. DOI ↗ | Dyer, N. G., Hanges, P. J. & Hall, R. J. (2005). Applying multilevel confirmatory factor analysis techniques to the study of leadership. Leadership Quarterly, 16(1), 149–167. DOI ↗ |
| Denumiri alternative≠ | multilevel DV, cross-level discriminant validity, hierarchical discriminant validity, ML-DV | cross-level convergent validity, multilevel measurement validity, between-level convergent validity |
| Înrudite≠ | 5 | 4 |
| Rezumat≠ | Multilevel discriminant validity evaluates whether theoretically distinct constructs are empirically separable when data are nested within higher-level units such as teams, schools, or organizations. It extends single-level discriminant validity checks into a multilevel confirmatory factor analysis framework, verifying that constructs are distinguishable both within and between levels simultaneously. | Multilevel convergent validity evaluates whether items or scales intended to measure the same construct show coherent, strong associations at each level of a nested data structure — within individuals, within groups, and between groups. It extends classical convergent validity from single-level measurement models into the multilevel confirmatory factor analysis (ML-CFA) framework. |
| ScholarGateSet de date ↗ |
|
|