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서수 판별 타당도×순서형 탐색적 요인 분석×
분야심리측정학심리측정학
계열Latent structureLatent structure
기원 연도1959 (concept); 2000s–2010s (ordinal adaptations)1978–1984
창시자Campbell & Fiske (discriminant validity concept); adapted for ordinal data by subsequent psychometriciansBengt Muthén
유형Validity assessmentLatent variable / dimension reduction
원전Campbell, D. T., & Fiske, D. W. (1959). Convergent and discriminant validation by the multitrait-multimethod matrix. Psychological Bulletin, 56(2), 81–105. DOI ↗Flora, D. B. & Curran, P. J. (2004). An empirical evaluation of alternative methods of estimation for confirmatory factor analysis with ordinal data. Psychological Methods, 9(4), 466–491. DOI ↗
별칭discriminant validity for ordinal data, polychoric discriminant validity, ordinal HTMT, ordinal AVE-based discriminant validityordinal factor analysis, polychoric EFA, categorical EFA, EFA for ordinal data
관련65
요약Ordinal discriminant validity assesses whether a latent construct measured by ordinal (Likert-type) items is empirically distinct from other constructs in the same instrument. It applies polychoric correlations and ordinal-appropriate factor loadings to standard discriminant validity criteria such as the Fornell-Larcker rule and the Heterotrait-Monotrait ratio (HTMT), ensuring that validity conclusions are not distorted by the non-continuous nature of ordered-response data.Ordinal exploratory factor analysis discovers latent factors underlying a set of ordinal items — typically Likert scales — by computing polychoric correlations among the items and then applying a weighted least squares estimator. It avoids the distortions that arise when continuous EFA methods are naively applied to ordered categorical responses.
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ScholarGate방법 비교: Ordinal Discriminant Validity · Ordinal EFA. 2026-06-18에 다음에서 검색함: https://scholargate.app/ko/compare