Compară metode

	Validitate de conținut multinivel	Analiza Factorială Confirmatorie Multilevel (MCFA)
Domeniu	Psihometrie	Psihometrie
Familie	Latent structure	Latent structure
Anul apariției	1975–2000s	1994
Autorul original	Rooted in Lawshe (1975) for content validity; multilevel extension developed through multilevel psychometric literature from the 1990s onward	Bengt O. Muthen
Tip	Validity evaluation / expert judgment	Latent variable model / measurement model
Sursa seminală	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.
Denumiri alternative	hierarchical content validity, nested-data content validity, multilevel scale content evaluation, MCV	MCFA, multilevel measurement model, two-level CFA, hierarchical CFA
Înrudite	6	6
Rezumat	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.