Порівняння методів
Переглядайте обрані методи поруч; рядки з відмінностями підсвічено.
| Багаторівнева номологічна валідність× | Дискримінантна валідність× | |
|---|---|---|
| Галузь | Психометрія | Психометрія |
| Родина | Latent structure | Latent structure |
| Рік появи≠ | 2005 | 1959 |
| Автор методу≠ | Chen, Bliese & Mathieu (building on Cronbach & Meehl) | Donald T. Campbell and Donald W. Fiske |
| Тип≠ | Validity assessment / construct validation | Validity evidence / psychometric evaluation |
| Основоположне джерело≠ | 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 ↗ | Campbell, D. T., & Fiske, D. W. (1959). Convergent and discriminant validation by the multitrait-multimethod matrix. Psychological Bulletin, 56(2), 81–105. DOI ↗ |
| Інші назви | cross-level construct validity, multilevel construct validation, MNV, nomological validity across levels | discriminant validity evidence, divergent validity, DV, AVE-based discriminant validity |
| Пов'язані≠ | 4 | 5 |
| Підсумок≠ | 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. | 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. |
| ScholarGateНабір даних ↗ |
|
|