পদ্ধতির তুলনা করুন

	Multi-group measurement invariance	কনফার্মেটরি ফ্যাক্টর অ্যানালাইসিস (CFA)
ক্ষেত্র	মনোমিতি	মনোমিতি
পরিবার	Latent structure	Latent structure
উদ্ভবের বছর	1971–1993	1969
প্রবর্তক	Jöreskog, K. G. (1971); Meredith, W. (1993)	Karl Gustav Jöreskog
ধরন	Model comparison / hypothesis testing	Hypothesis-testing latent variable model
মৌলিক উৎস	Vandenberg, R. J. & Lance, C. E. (2000). A review and synthesis of the measurement invariance literature: Suggestions, practices, and recommendations for organizational research. Organizational Research Methods, 3(1), 4–70.	Jöreskog, K. G. (1969). A general approach to confirmatory maximum likelihood factor analysis. Psychometrika, 34(2), 183–202.
অপর নাম	measurement invariance, factorial invariance, cross-group invariance, MI testing	CFA, confirmatory FA, measurement model, restricted factor analysis
সম্পর্কিত	6	4
সারসংক্ষেপ	Multi-group measurement invariance testing examines whether a latent construct is measured in the same way across two or more distinct groups — such as cultures, genders, or age cohorts. It is a prerequisite for meaningful group comparisons of latent means or relationships, ensuring that observed score differences reflect true differences rather than measurement artifacts.	Confirmatory factor analysis tests a researcher-specified factor structure against observed data. Unlike exploratory approaches, the researcher decides in advance which indicators load on which latent factor, and the model is evaluated by how closely the implied covariance matrix reproduces the sample covariance matrix. CFA is central to scale validation, construct validity assessment, and measurement invariance testing.