ScholarGate
어시스턴트

방법 비교

선택한 방법을 나란히 검토하세요. 서로 다른 행은 강조 표시됩니다.

종단 판별 타당도×확인적 요인 분석 (CFA)×
분야심리측정학심리측정학
계열Latent structureLatent structure
기원 연도1993–20001969
창시자Formalized through SEM-based validity traditions (Campbell & Fiske, 1959; Cole & Maxwell, 1993)Karl Gustav Jöreskog
유형Validity assessment / measurement qualityHypothesis-testing latent variable model
원전Cole, D. A. & Maxwell, S. E. (1993). Testing mediational models with longitudinal data: Questions and tips in the use of structural equation modeling. Journal of Abnormal Psychology, 112(4), 558–577. DOI ↗Jöreskog, K. G. (1969). A general approach to confirmatory maximum likelihood factor analysis. Psychometrika, 34(2), 183–202. DOI ↗
별칭LDV, longitudinal construct distinctiveness, cross-time discriminant validity, temporal discriminant validityCFA, confirmatory FA, measurement model, restricted factor analysis
관련44
요약Longitudinal discriminant validity tests whether a psychological construct measured at two or more time points is empirically distinct across occasions — ensuring that the same construct does not collapse into a single undifferentiated mass over time. It is a prerequisite for meaningful change modeling in panel and longitudinal research.Confirmatory factor analysis tests a researcher-specified factor structure against observed data. Unlike exploratory approaches, the researcher decides in advance which indicators load on which latent factor, and the model is evaluated by how closely the implied covariance matrix reproduces the sample covariance matrix. CFA is central to scale validation, construct validity assessment, and measurement invariance testing.
ScholarGate데이터셋
  1. v1
  2. 2 출처
  3. PUBLISHED
  1. v1
  2. 2 출처
  3. PUBLISHED

검색으로 이동 슬라이드 다운로드

ScholarGate방법 비교: Longitudinal Discriminant Validity · Confirmatory factor analysis. 2026-06-17에 다음에서 검색함: https://scholargate.app/ko/compare