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	Porządkowa trafność nomologiczna	Zbieżność wskaźników dla danych porządkowych
Dziedzina	Psychometria	Psychometria
Rodzina	Latent structure	Latent structure
Rok powstania	1955 (concept); ordinal application 1990s–present	1959 (validity framework); ordinal adaptation 1990s–2000s
Twórca	Cronbach & Meehl (nomological network concept); ordinal extension in modern psychometrics	Polychoric/tetrachoric correlation tradition (Pearson, 1900s); validity framework formalized by Campbell & Fiske (1959)
Typ	Validity assessment	Validity assessment
Źródło pierwotne	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.
Inne nazwy	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
Pokrewne	5	6
Podsumowanie	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.