পদ্ধতির তুলনা করুন

	বহু-গোষ্ঠী বিষয়বস্তু বৈধতা	পরিমাপের অভেদতা পরীক্ষা (Measurement Invariance Testing)
ক্ষেত্র	মনোমিতি	মনোমিতি
পরিবার	Latent structure	Latent structure
উদ্ভবের বছর	1986–2006	2000
প্রবর্তক	Lynn (1986); extended by Polit & Beck (2006)	Vandenberg & Lance
ধরন	Validity assessment / expert judgment aggregation	Multi-group confirmatory factor analysis procedure
মৌলিক উৎস	Polit, D. F. & Beck, C. T. (2006). The content validity index: Are you sure you know what's being reported? Critique and recommendations. Research in Nursing & Health, 29(5), 489–497.	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	multi-group CVI, cross-group content validity, subgroup content validity index, multi-panel content validity	Factorial Invariance, Measurement Equivalence, Configural-Metric-Scalar Testing, Ölçüm Değişmezliği
সম্পর্কিত	4	3
সারসংক্ষেপ	Multi-group content validity extends the standard content validity index (CVI) procedure by computing and comparing item- and scale-level validity indices across two or more distinct expert panels or subgroups. It ensures that a scale's items are judged as relevant and representative not only overall but also within each subgroup of interest, supporting cross-group generalizability of the instrument.	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.