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| 다집단 판별 타당도 평가× | 수렴 타당도× | |
|---|---|---|
| 분야 | 심리측정학 | 심리측정학 |
| 계열 | Latent structure | Latent structure |
| 기원 연도≠ | 1981 (foundational criterion); multi-group extension 1990s–2000s | 1959 |
| 창시자≠ | Fornell & Larcker (for the AVE-based criterion); extended to multi-group settings by the SEM invariance literature | Donald T. Campbell & Donald W. Fiske |
| 유형≠ | Validity assessment / model comparison | Validity evidence / construct validation |
| 원전≠ | Fornell, C. & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39–50. DOI ↗ | Campbell, D. T., & Fiske, D. W. (1959). Convergent and discriminant validation by the multitrait-multimethod matrix. Psychological Bulletin, 56(2), 81–105. DOI ↗ |
| 별칭≠ | cross-group discriminant validity, multi-sample discriminant validity, MGDV, discriminant validity across groups | convergent construct validity, convergence validity, AVE-based convergent validity |
| 관련≠ | 5 | 4 |
| 요약≠ | 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. | Convergent validity is the degree to which multiple indicators that are theoretically expected to measure the same construct actually correlate with one another. It is one of the two complementary forms of construct validity identified by Campbell and Fiske (1959) and is now routinely assessed via factor loadings and the Average Variance Extracted (AVE) statistic in SEM-based scale validation. |
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