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Validesa nomològica robusta×Anàlisi Factorial Confirmatòria (CFA)×
CampPsicometriaPsicometria
FamíliaLatent structureLatent structure
Any d'origen19551969
Autor originalCronbach & Meehl (seminal framework); later extended by Shadish, Cook, and CampbellKarl Gustav Jöreskog
TipusValidity assessment / construct validationHypothesis-testing latent variable model
Font seminalCronbach, L. J. & Meehl, P. E. (1955). Construct validity in psychological tests. Psychological Bulletin, 52(4), 281–302. DOI ↗Jöreskog, K. G. (1969). A general approach to confirmatory maximum likelihood factor analysis. Psychometrika, 34(2), 183–202. DOI ↗
Àliesnomological network validity, robust validity testing, nomological validity, RNVCFA, confirmatory FA, measurement model, restricted factor analysis
Relacionats54
ResumRobust nomological validity evaluates whether a psychological construct relates to theoretically expected variables in the predicted directions, using statistically robust estimation methods that remain trustworthy when distributional assumptions are violated. It tests the construct's place within its nomological network — the web of theoretical relationships that define its meaning.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.
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ScholarGateCompara mètodes: Robust Nomological Validity · Confirmatory factor analysis. Recuperat el 2026-06-17 de https://scholargate.app/ca/compare