Compara mètodes

	Validesa de Contingut Multinivell	Anàlisi Factorial Confirmatori Multillivell (MCFA)
Camp	Psicometria	Psicometria
Família	Latent structure	Latent structure
Any d'origen	1975–2000s	1994
Autor original	Rooted in Lawshe (1975) for content validity; multilevel extension developed through multilevel psychometric literature from the 1990s onward	Bengt O. Muthen
Tipus	Validity evaluation / expert judgment	Latent variable model / measurement model
Font seminal	Lynn, M. R. (1986). Determination and quantification of content validity. Nursing Research, 35(6), 382–385.	Muthen, B. O. (1994). Multilevel covariance structure analysis. Sociological Methods & Research, 22(3), 376–398.
Àlies	hierarchical content validity, nested-data content validity, multilevel scale content evaluation, MCV	MCFA, multilevel measurement model, two-level CFA, hierarchical CFA
Relacionats	6	6
Resum	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 confirmatory factor analysis tests a pre-specified factor structure while simultaneously accounting for the non-independence of observations caused by clustered data. It decomposes item variance into within-group and between-group components, fitting a separate measurement model at each level, making it the standard tool for validating psychometric scales administered within natural groups such as classrooms, clinics, or organisations.