Methoden vergelijken

	Multilevel Nomologische Validiteit	Confirmatory factor analysis
Vakgebied	Psychometrie	Psychometrie
Familie	Latent structure	Latent structure
Jaar van ontstaan	2005	1969
Grondlegger	Chen, Bliese & Mathieu (building on Cronbach & Meehl)	Karl Gustav Jöreskog
Type	Validity assessment / construct validation	Hypothesis-testing latent variable model
Oorspronkelijke bron	Chen, G., Bliese, P. D. & Mathieu, J. E. (2005). Conceptual framework and statistical procedures for delineating and testing multilevel theories of homology. Organizational Research Methods, 8(4), 375–409.	Jöreskog, K. G. (1969). A general approach to confirmatory maximum likelihood factor analysis. Psychometrika, 34(2), 183–202.
Aliassen	cross-level construct validity, multilevel construct validation, MNV, nomological validity across levels	CFA, confirmatory FA, measurement model, restricted factor analysis
Verwant	4	4
Samenvatting	Multilevel nomological validity evaluates whether a psychological construct and its network of theoretical relationships hold consistently across multiple levels of analysis — such as individual, team, and organization. It extends classical construct validation to nested data structures, ensuring that a measure means the same thing and behaves as theory predicts at each level.	Confirmatory factor analysis tests a researcher-specified factor structure against observed data. Unlike exploratory approaches, the researcher decides in advance which indicators load on which latent factor, and the model is evaluated by how closely the implied covariance matrix reproduces the sample covariance matrix. CFA is central to scale validation, construct validity assessment, and measurement invariance testing.