Comparer des méthodes

	Validité nomologique multiniveaux	Validité convergente
Domaine	Psychométrie	Psychométrie
Famille	Latent structure	Latent structure
Année d'origine	2005	1959
Auteur d'origine	Chen, Bliese & Mathieu (building on Cronbach & Meehl)	Donald T. Campbell & Donald W. Fiske
Type	Validity assessment / construct validation	Validity evidence / construct validation
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.	Campbell, D. T., & Fiske, D. W. (1959). Convergent and discriminant validation by the multitrait-multimethod matrix. Psychological Bulletin, 56(2), 81–105.
Alias	cross-level construct validity, multilevel construct validation, MNV, nomological validity across levels	convergent construct validity, convergence validity, AVE-based convergent validity
Apparentées	4	4
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.	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.