ScholarGate
어시스턴트

방법 비교

선택한 방법을 나란히 검토하세요. 서로 다른 행은 강조 표시됩니다.

강건한 법적 타당도×수렴 타당도×
분야심리측정학심리측정학
계열Latent structureLatent structure
기원 연도19551959
창시자Cronbach & Meehl (seminal framework); later extended by Shadish, Cook, and CampbellDonald T. Campbell & Donald W. Fiske
유형Validity assessment / construct validationValidity evidence / construct validation
원전Cronbach, L. J. & Meehl, P. E. (1955). Construct validity in psychological tests. Psychological Bulletin, 52(4), 281–302. DOI ↗Campbell, D. T., & Fiske, D. W. (1959). Convergent and discriminant validation by the multitrait-multimethod matrix. Psychological Bulletin, 56(2), 81–105. DOI ↗
별칭nomological network validity, robust validity testing, nomological validity, RNVconvergent construct validity, convergence validity, AVE-based convergent validity
관련54
요약Robust nomological validity evaluates whether a psychological construct relates to theoretically expected variables in the predicted directions, using statistically robust estimation methods that remain trustworthy when distributional assumptions are violated. It tests the construct's place within its nomological network — the web of theoretical relationships that define its meaning.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.
ScholarGate데이터셋
  1. v1
  2. 2 출처
  3. PUBLISHED
  1. v1
  2. 2 출처
  3. PUBLISHED

검색으로 이동 슬라이드 다운로드

ScholarGate방법 비교: Robust Nomological Validity · Convergent Validity. 2026-06-17에 다음에서 검색함: https://scholargate.app/ko/compare