Comparer des méthodes

	Validité nomologique multiniveaux	Validité de construit
Domaine	Psychométrie	Psychométrie
Famille	Latent structure	Latent structure
Année d'origine	2005	1955
Auteur d'origine	Chen, Bliese & Mathieu (building on Cronbach & Meehl)	Lee J. Cronbach & Paul E. Meehl
Type	Validity assessment / construct validation	Validity evaluation framework
Source fondatrice	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.	Cronbach, L. J. & Meehl, P. E. (1955). Construct validity in psychological tests. Psychological Bulletin, 52(4), 281–302.
Alias	cross-level construct validity, multilevel construct validation, MNV, nomological validity across levels	construct validation, factorial validity, nomological validity evidence, validity of interpretation
Apparentées	4	6
Résumé	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.