ScholarGate
助手

方法对比

并排查看您选择的方法;存在差异的行会高亮显示。

多群体区分效度评估×判别效度×
领域心理测量学心理测量学
方法族Latent structureLatent structure
起源年份1981 (foundational criterion); multi-group extension 1990s–2000s1959
提出者Fornell & Larcker (for the AVE-based criterion); extended to multi-group settings by the SEM invariance literatureDonald T. Campbell and Donald W. Fiske
类型Validity assessment / model comparisonValidity evidence / psychometric evaluation
开创性文献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 ↗
别名cross-group discriminant validity, multi-sample discriminant validity, MGDV, discriminant validity across groupsdiscriminant validity evidence, divergent validity, DV, AVE-based discriminant validity
相关55
摘要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.Discriminant validity is evidence that a latent construct is empirically distinct from other constructs it should differ from. Originating in Campbell and Fiske's multitrait-multimethod framework (1959), it is a core component of construct validity and a mandatory check in scale development and structural equation modeling.
ScholarGate数据集
  1. v1
  2. 2 来源
  3. PUBLISHED
  1. v1
  2. 2 来源
  3. PUBLISHED

前往搜索 下载幻灯片

ScholarGate方法对比: Multi-group discriminant validity · Discriminant Validity. 于 2026-06-17 检索自 https://scholargate.app/zh/compare