ScholarGate
어시스턴트

방법 비교

선택한 방법을 나란히 검토하세요. 서로 다른 행은 강조 표시됩니다.

다층 내용 타당도×다수준 척도 개발×
분야심리측정학심리측정학
계열Latent structureLatent structure
기원 연도1975–2000s1990s–2000s
창시자Rooted in Lawshe (1975) for content validity; multilevel extension developed through multilevel psychometric literature from the 1990s onwardRaudenbush, Bryk, Hox and colleagues
유형Validity evaluation / expert judgmentHierarchical measurement / scale construction
원전Lynn, M. R. (1986). Determination and quantification of content validity. Nursing Research, 35(6), 382–385. DOI ↗Hox, J. J. (2010). Multilevel Analysis: Techniques and Applications (2nd ed.). Routledge. ISBN: 978-1848728462
별칭hierarchical content validity, nested-data content validity, multilevel scale content evaluation, MCVmultilevel measurement modeling, hierarchical scale development, MLSEM scale construction, nested data scale development
관련65
요약Multilevel content validity extends the classical content validity framework to settings where items, raters, or respondents are nested within hierarchical structures — such as students within schools, patients within clinics, or items rated by panels from distinct cultural or professional groups. It ensures that scale content is relevant and representative at every level of the hierarchy, not just in the aggregate.Multilevel scale development constructs and validates measurement instruments for data collected from individuals nested within higher-level units such as classrooms, organizations, or clinics. It partitions item variance into within-group and between-group components, ensuring that reliability and factor structure are evaluated at both levels simultaneously.
ScholarGate데이터셋
  1. v1
  2. 2 출처
  3. PUBLISHED
  1. v1
  2. 2 출처
  3. PUBLISHED

검색으로 이동 슬라이드 다운로드

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