Comparar métodos

	Validez de Contenido Multinivel	Invarianza de Medición Multinivel
Campo	Psicometría	Psicometría
Familia	Latent structure	Latent structure
Año de origen	1975–2000s	2000s
Autor original	Rooted in Lawshe (1975) for content validity; multilevel extension developed through multilevel psychometric literature from the 1990s onward	Muthén, Asparouhov, and colleagues
Tipo	Validity evaluation / expert judgment	Measurement model evaluation
Fuente seminal	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.
Alias	hierarchical content validity, nested-data content validity, multilevel scale content evaluation, MCV	MLMI, multilevel factorial invariance, cross-level measurement invariance, multilevel CFA invariance
Relacionados	6	3
Resumen	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.