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领域心理测量学心理测量学
方法族Latent structureLatent structure
起源年份20051959
提出者Dyer, Hanges & Hall; Chen, Bliese & MathieuDonald T. Campbell and Donald W. Fiske
类型Measurement validity evaluationValidity evidence / psychometric evaluation
开创性文献Dyer, N. G., Hanges, P. J. & Hall, R. J. (2005). Applying multilevel confirmatory factor analysis techniques to the study of leadership. Leadership Quarterly, 16(1), 149–167. 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-level convergent validity, multilevel measurement validity, between-level convergent validitydiscriminant validity evidence, divergent validity, DV, AVE-based discriminant validity
相关45
摘要Multilevel convergent validity evaluates whether items or scales intended to measure the same construct show coherent, strong associations at each level of a nested data structure — within individuals, within groups, and between groups. It extends classical convergent validity from single-level measurement models into the multilevel confirmatory factor analysis (ML-CFA) framework.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.
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ScholarGate方法对比: Multilevel Convergent Validity · Discriminant Validity. 于 2026-06-18 检索自 https://scholargate.app/zh/compare