Salīdzināt metodes

	Daudzlīmeņu satura validitāte	Daudzlīmeņu apstiprinošā faktoru analīze (MCFA)
Nozare	Psihometrija	Psihometrija
Saime	Latent structure	Latent structure
Izcelsmes gads	1975–2000s	1994
Autors	Rooted in Lawshe (1975) for content validity; multilevel extension developed through multilevel psychometric literature from the 1990s onward	Bengt O. Muthen
Tips	Validity evaluation / expert judgment	Latent variable model / measurement model
Pirmavots	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.
Citi nosaukumi	hierarchical content validity, nested-data content validity, multilevel scale content evaluation, MCV	MCFA, multilevel measurement model, two-level CFA, hierarchical CFA
Saistītās	6	6
Kopsavilkums	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.