ScholarGate
어시스턴트

방법 비교

선택한 방법을 나란히 검토하세요. 서로 다른 행은 강조 표시됩니다.

다수준 수렴 타당도×개념 타당도×
분야심리측정학심리측정학
계열Latent structureLatent structure
기원 연도20051955
창시자Dyer, Hanges & Hall; Chen, Bliese & MathieuLee J. Cronbach & Paul E. Meehl
유형Measurement validity evaluationValidity evaluation framework
원전Dyer, 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 ↗Cronbach, L. J. & Meehl, P. E. (1955). Construct validity in psychological tests. Psychological Bulletin, 52(4), 281–302. DOI ↗
별칭cross-level convergent validity, multilevel measurement validity, between-level convergent validityconstruct validation, factorial validity, nomological validity evidence, validity of interpretation
관련46
요약Multilevel 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.Construct validity is the degree to which a test or scale actually measures the theoretical construct it is intended to measure. Introduced by Cronbach and Meehl in 1955, it is the central validity concern in psychological and educational measurement, evaluated by accumulating multiple lines of empirical and logical evidence rather than by any single statistical test.
ScholarGate데이터셋
  1. v1
  2. 2 출처
  3. PUBLISHED
  1. v1
  2. 2 출처
  3. PUBLISHED

검색으로 이동 슬라이드 다운로드

ScholarGate방법 비교: Multilevel Convergent Validity · Construct Validity. 2026-06-15에 다음에서 검색함: https://scholargate.app/ko/compare