পদ্ধতির তুলনা করুন

	কম্পিউটারাইজড অ্যাডাপ্টিভ টেস্ট পরিমাপের অপরিবর্তনীয়তা	Multi-group measurement invariance
ক্ষেত্র	মনোমিতি	মনোমিতি
পরিবার	Latent structure	Latent structure
উদ্ভবের বছর	1990s–2000s	1971–1993
প্রবর্তক	Building on Meredith (1993) for invariance and Lord (1980) for adaptive testing	Jöreskog, K. G. (1971); Meredith, W. (1993)
ধরন	Measurement equivalence testing in adaptive testing contexts	Model comparison / hypothesis testing
মৌলিক উৎস	Millsap, R. E. (2011). Statistical Approaches to Measurement Invariance. Routledge. ISBN: 978-0805864946	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	CAT measurement invariance, adaptive test invariance, CAT MI, measurement equivalence in CAT	measurement invariance, factorial invariance, cross-group invariance, MI testing
সম্পর্কিত	6	6
সারসংক্ষেপ	Computerized adaptive test measurement invariance evaluates whether a CAT instrument measures the same latent construct with the same psychometric properties across different groups (e.g., gender, language, clinical vs. community) or time points. It combines IRT-based adaptive test frameworks with measurement equivalence testing to ensure fair and comparable score interpretation.	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.