Bandingkan metode

	Validitas Nomologis Multilevel	Analisis Faktor Konfirmatori (CFA)
Bidang	Psikometri	Psikometri
Keluarga	Latent structure	Latent structure
Tahun asal	2005	1969
Pencetus	Chen, Bliese & Mathieu (building on Cronbach & Meehl)	Karl Gustav Jöreskog
Tipe	Validity assessment / construct validation	Hypothesis-testing latent variable model
Sumber perintis	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.
Alias	cross-level construct validity, multilevel construct validation, MNV, nomological validity across levels	CFA, confirmatory FA, measurement model, restricted factor analysis
Terkait	4	4
Ringkasan	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.