Comparar métodos
Revisa los métodos seleccionados uno junto a otro; las filas que difieren aparecen resaltadas.
| Validez nomológica multinivel× | Validez de constructo× | |
|---|---|---|
| Campo | Psicometría | Psicometría |
| Familia | Latent structure | Latent structure |
| Año de origen≠ | 2005 | 1955 |
| Autor original≠ | Chen, Bliese & Mathieu (building on Cronbach & Meehl) | Lee J. Cronbach & Paul E. Meehl |
| Tipo≠ | Validity assessment / construct validation | Validity evaluation framework |
| Fuente seminal≠ | Chen, G., Bliese, P. D. & Mathieu, J. E. (2005). Conceptual framework and statistical procedures for delineating and testing multilevel theories of homology. Organizational Research Methods, 8(4), 375–409. DOI ↗ | Cronbach, L. J. & Meehl, P. E. (1955). Construct validity in psychological tests. Psychological Bulletin, 52(4), 281–302. DOI ↗ |
| Alias | cross-level construct validity, multilevel construct validation, MNV, nomological validity across levels | construct validation, factorial validity, nomological validity evidence, validity of interpretation |
| Relacionados≠ | 4 | 6 |
| Resumen≠ | Multilevel nomological validity evaluates whether a psychological construct and its network of theoretical relationships hold consistently across multiple levels of analysis — such as individual, team, and organization. It extends classical construct validation to nested data structures, ensuring that a measure means the same thing and behaves as theory predicts at each level. | Construct validity is the degree to which a test or scale actually measures the theoretical construct it is intended to measure. Introduced by Cronbach and Meehl in 1955, it is the central validity concern in psychological and educational measurement, evaluated by accumulating multiple lines of empirical and logical evidence rather than by any single statistical test. |
| ScholarGateConjunto de datos ↗ |
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