Linganisha mbinu

	Uthabiti wa Upimaji wa Vipimo vya Kompyuta vinavyobadilika	Upimaji wa Kutofautiana kwa Vipimo katika Vikundi Vingi
Nyanja	Saikometriki	Saikometriki
Familia	Latent structure	Latent structure
Mwaka wa asili	1990s–2000s	1971–1993
Mwanzilishi	Building on Meredith (1993) for invariance and Lord (1980) for adaptive testing	Jöreskog, K. G. (1971); Meredith, W. (1993)
Aina	Measurement equivalence testing in adaptive testing contexts	Model comparison / hypothesis testing
Chanzo asilia	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.
Majina mbadala	CAT measurement invariance, adaptive test invariance, CAT MI, measurement equivalence in CAT	measurement invariance, factorial invariance, cross-group invariance, MI testing
Zinazohusiana	6	6
Muhtasari	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.