Σύγκριση μεθόδων

	Ονομαστική Νομολογική Εγκυρότητα	Συγκλίνουσα Εγκυρότητα Διατάξεως
Πεδίο	Ψυχομετρία	Ψυχομετρία
Οικογένεια	Latent structure	Latent structure
Έτος προέλευσης	1955 (concept); ordinal application 1990s–present	1959 (validity framework); ordinal adaptation 1990s–2000s
Δημιουργός	Cronbach & Meehl (nomological network concept); ordinal extension in modern psychometrics	Polychoric/tetrachoric correlation tradition (Pearson, 1900s); validity framework formalized by Campbell & Fiske (1959)
Τύπος	Validity assessment	Validity assessment
Θεμελιώδης πηγή	Cronbach, L. J., & Meehl, P. E. (1955). Construct validity in psychological tests. Psychological Bulletin, 52(4), 281–302.	Rhemtulla, M., Brosseau-Liard, P. E., & Savalei, V. (2012). When can categorical variables be treated as continuous? A comparison of robust continuous and categorical SEM estimation methods under suboptimal conditions. Psychological Methods, 17(3), 354–373.
Εναλλακτικές ονομασίες	nomological validity for ordinal data, ordinal nomological network, construct network validity (ordinal), ordinal criterion-related validity	OCV, convergent validity for ordinal scales, polychoric convergent validity, ordinal AVE
Συναφείς	5	6
Σύνοψη	Ordinal nomological validity examines whether a construct measured with ordinal items (e.g., Likert-type scales) behaves in theoretically predicted ways within a nomological network — a web of expected relationships with other constructs and criteria — using methods suited to ordinal data rather than assuming continuous measurement.	Ordinal convergent validity assesses the degree to which indicators of the same latent construct correlate strongly with each other when those indicators are measured on ordinal (e.g., Likert-type) scales. It adapts standard convergent validity procedures — factor loadings, average variance extracted, and HTMT ratios — to account for the discrete, bounded nature of ordinal response categories using polychoric correlations and ordinal-appropriate estimation methods.