So sánh phương pháp

	Đánh giá giá trị phân biệt đa nhóm	Kiểm định tính bất biến của phép đo đa nhóm
Lĩnh vực	Trắc lượng tâm lý	Trắc lượng tâm lý
Họ	Latent structure	Latent structure
Năm ra đời	1981 (foundational criterion); multi-group extension 1990s–2000s	1971–1993
Người khởi xướng	Fornell & Larcker (for the AVE-based criterion); extended to multi-group settings by the SEM invariance literature	Jöreskog, K. G. (1971); Meredith, W. (1993)
Loại	Validity assessment / model comparison	Model comparison / hypothesis testing
Công trình gốc	Fornell, C. & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39–50.	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.
Tên gọi khác	cross-group discriminant validity, multi-sample discriminant validity, MGDV, discriminant validity across groups	measurement invariance, factorial invariance, cross-group invariance, MI testing
Liên quan	5	6
Tóm tắt	Multi-group discriminant validity assessment tests whether constructs measured by a scale are empirically distinct not just in one sample but consistently across two or more groups (e.g., cultures, genders, age cohorts). It extends standard discriminant validity criteria — such as the AVE rule and the HTMT ratio — into a multi-group confirmatory factor analysis framework to verify that conceptual distinctness is replicable across subpopulations.	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.