পদ্ধতির তুলনা করুন

	ক্রমিক পরিমাপ অপরিবর্তনশীলতা পরীক্ষা (Ordinal measurement invariance testing)	পরিমাপের অভেদতা পরীক্ষা (Measurement Invariance Testing)
ক্ষেত্র	মনোমিতি	মনোমিতি
পরিবার	Latent structure	Latent structure
উদ্ভবের বছর	1984–2011	2000
প্রবর্তক	Roger Millsap; Bengt Muthén	Vandenberg & Lance
ধরন	Multi-group model comparison	Multi-group confirmatory factor analysis procedure
মৌলিক উৎস	Millsap, R. E. (2011). Statistical Approaches to Measurement Invariance. Routledge. ISBN: 978-1848728936	Vandenberg, R. J., & Lance, C. E. (2000). A review and synthesis of the measurement invariance literature. Organizational Research Methods, 3(1), 4–70.
অপর নাম	ordinal MI, measurement invariance for ordinal data, ordinal CFA invariance, categorical measurement invariance	Factorial Invariance, Measurement Equivalence, Configural-Metric-Scalar Testing, Ölçüm Değişmezliği
সম্পর্কিত	6	3
সারসংক্ষেপ	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.	Measurement invariance testing is a sequence of nested confirmatory factor analysis (CFA) models that examines whether a psychological scale measures the same latent construct in the same way across distinct groups or time points. Systematized and popularized by Vandenberg and Lance (2000), the procedure tests a hierarchy of constraints — from identical factor patterns to identical item intercepts — so that researchers can justify meaningful group comparisons on latent means.