Salīdzināt metodes

	Daudzlīmeņu satura validitāte	Daudzlīmeņu mērījumu ekvitāte
Nozare	Psihometrija	Psihometrija
Saime	Latent structure	Latent structure
Izcelsmes gads	1975–2000s	2000s
Autors	Rooted in Lawshe (1975) for content validity; multilevel extension developed through multilevel psychometric literature from the 1990s onward	Muthén, Asparouhov, and colleagues
Tips	Validity evaluation / expert judgment	Measurement model evaluation
Pirmavots	Lynn, M. R. (1986). Determination and quantification of content validity. Nursing Research, 35(6), 382–385.	Muthén, B. O., & Asparouhov, T. (2009). Multilevel factor analysis of class and student achievement components. Journal of Educational and Behavioral Statistics, 34(2), 250–270.
Citi nosaukumi	hierarchical content validity, nested-data content validity, multilevel scale content evaluation, MCV	MLMI, multilevel factorial invariance, cross-level measurement invariance, multilevel CFA invariance
Saistītās	6	3
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 measurement invariance testing evaluates whether a latent construct is measured equivalently both within clusters (e.g., individuals within teams) and between clusters (e.g., team-level aggregates). It extends standard measurement invariance procedures to nested data structures commonly encountered in organisational, educational, and cross-cultural research.