Comparer des méthodes

	Validité de contenu multiniveau	Développement d'échelles multiniveaux
Domaine	Psychométrie	Psychométrie
Famille	Latent structure	Latent structure
Année d'origine	1975–2000s	1990s–2000s
Auteur d'origine	Rooted in Lawshe (1975) for content validity; multilevel extension developed through multilevel psychometric literature from the 1990s onward	Raudenbush, Bryk, Hox and colleagues
Type	Validity evaluation / expert judgment	Hierarchical measurement / scale construction
Source fondatrice	Lynn, M. R. (1986). Determination and quantification of content validity. Nursing Research, 35(6), 382–385.	Hox, J. J. (2010). Multilevel Analysis: Techniques and Applications (2nd ed.). Routledge. ISBN: 978-1848728462
Alias	hierarchical content validity, nested-data content validity, multilevel scale content evaluation, MCV	multilevel measurement modeling, hierarchical scale development, MLSEM scale construction, nested data scale development
Apparentées	6	5
Résumé	Multilevel content validity extends the classical content validity framework to settings where items, raters, or respondents are nested within hierarchical structures — such as students within schools, patients within clinics, or items rated by panels from distinct cultural or professional groups. It ensures that scale content is relevant and representative at every level of the hierarchy, not just in the aggregate.	Multilevel scale development constructs and validates measurement instruments for data collected from individuals nested within higher-level units such as classrooms, organizations, or clinics. It partitions item variance into within-group and between-group components, ensuring that reliability and factor structure are evaluated at both levels simultaneously.