Σύγκριση μεθόδων

	Ονομαστική Νομολογική Εγκυρότητα	Δοκιμή αναλλοιότητας μετρήσεων σε διατακτική κλίμακα
Πεδίο	Ψυχομετρία	Ψυχομετρία
Οικογένεια	Latent structure	Latent structure
Έτος προέλευσης	1955 (concept); ordinal application 1990s–present	1984–2011
Δημιουργός	Cronbach & Meehl (nomological network concept); ordinal extension in modern psychometrics	Roger Millsap; Bengt Muthén
Τύπος	Validity assessment	Multi-group model comparison
Θεμελιώδης πηγή	Cronbach, L. J., & Meehl, P. E. (1955). Construct validity in psychological tests. Psychological Bulletin, 52(4), 281–302.	Millsap, R. E. (2011). Statistical Approaches to Measurement Invariance. Routledge. ISBN: 978-1848728936
Εναλλακτικές ονομασίες	nomological validity for ordinal data, ordinal nomological network, construct network validity (ordinal), ordinal criterion-related validity	ordinal MI, measurement invariance for ordinal data, ordinal CFA invariance, categorical measurement invariance
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 measurement invariance testing evaluates whether a multi-group confirmatory factor model holds equivalent measurement properties across groups when scale items are ordinal — such as Likert-type response scales. It uses polychoric correlations and categorical estimators (WLSMV/DWLS) rather than Pearson-based methods, correcting the systematic bias that arises when ordinal data are treated as continuous.