পদ্ধতির তুলনা করুন

	মাল্টি-গ্রুপ আইটেম অ্যানালাইসিস	Multi-group measurement invariance
ক্ষেত্র	মনোমিতি	মনোমিতি
পরিবার	Latent structure	Latent structure
উদ্ভবের বছর	1986	1971–1993
প্রবর্তক	Classical test theory tradition; systematised by Crocker & Algina (1986)	Jöreskog, K. G. (1971); Meredith, W. (1993)
ধরন	Comparative item-level analysis	Model comparison / hypothesis testing
মৌলিক উৎস	Crocker, L. & Algina, J. (1986). Introduction to Classical and Modern Test Theory. Holt, Rinehart and Winston. ISBN: 978-0030616341	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.
অপর নাম	MGIA, group-comparative item analysis, subgroup item analysis, cross-group item analysis	measurement invariance, factorial invariance, cross-group invariance, MI testing
সম্পর্কিত	6	6
সারসংক্ষেপ	Multi-group item analysis computes classical item statistics — difficulty, discrimination, and corrected item-total correlations — separately for each subgroup in a sample and then compares those statistics across groups. It is a standard diagnostic step in scale development and test fairness evaluation, revealing items that behave differently for men versus women, across age cohorts, or across cultural groups before more formal DIF testing.	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.