Salīdzināt metodes

	Ordinala nomoloģiskā validitāte	Ordinālās mērīšanas invariances testēšana
Nozare	Psihometrija	Psihometrija
Saime	Latent structure	Latent structure
Izcelsmes gads	1955 (concept); ordinal application 1990s–present	1984–2011
Autors	Cronbach & Meehl (nomological network concept); ordinal extension in modern psychometrics	Roger Millsap; Bengt Muthén
Tips	Validity assessment	Multi-group model comparison
Pirmavots	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
Citi nosaukumi	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
Saistītās	5	6
Kopsavilkums	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.