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Ordinálna nomologická validita×Testovanie invariancie ordinálnych meraní×
OdborPsychometriaPsychometria
RodinaLatent structureLatent structure
Rok vzniku1955 (concept); ordinal application 1990s–present1984–2011
TvorcaCronbach & Meehl (nomological network concept); ordinal extension in modern psychometricsRoger Millsap; Bengt Muthén
TypValidity assessmentMulti-group model comparison
Pôvodný zdrojCronbach, L. J., & Meehl, P. E. (1955). Construct validity in psychological tests. Psychological Bulletin, 52(4), 281–302. DOI ↗Millsap, R. E. (2011). Statistical Approaches to Measurement Invariance. Routledge. ISBN: 978-1848728936
Ďalšie názvynomological validity for ordinal data, ordinal nomological network, construct network validity (ordinal), ordinal criterion-related validityordinal MI, measurement invariance for ordinal data, ordinal CFA invariance, categorical measurement invariance
Príbuzné56
ZhrnutieOrdinal 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.
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ScholarGatePorovnať metódy: Ordinal Nomological Validity · Ordinal Measurement Invariance. Získané 2026-06-19 z https://scholargate.app/sk/compare