ScholarGate
어시스턴트

방법 비교

선택한 방법을 나란히 검토하세요. 서로 다른 행은 강조 표시됩니다.

순서형 문항 반응 이론×차별 문항 기능(Differential Item Functioning, DIF)×
분야심리측정학심리측정학
계열Latent structureLatent structure
기원 연도19691970s–1993
창시자Fumiko Samejima (Graded Response Model, 1969); Gerhard Fischer & Georg Rasch lineage for partial creditWilliam H. Angoff and colleagues (ETS); systematized by Holland & Wainer
유형Probabilistic latent trait model for ordered polytomous responsesItem-level bias detection
원전Samejima, F. (1969). Estimation of latent ability using a response pattern of graded scores. Psychometrika Monograph Supplement, 34(4, Pt. 2), 1–97. link ↗Holland, P. W. & Wainer, H. (Eds.) (1993). Differential Item Functioning. Lawrence Erlbaum Associates. ISBN: 978-0805809589
별칭polytomous IRT, ordinal IRT models, graded response models, ordinal latent trait modelsDIF, item bias analysis, measurement non-equivalence, item-level measurement bias
관련65
요약Ordinal item response theory (ordinal IRT) comprises a family of probabilistic models — most notably the Graded Response Model and the Partial Credit Model — that relate a respondent's standing on a latent trait to the probability of choosing each ordered response category on a polytomous item. It extends classical IRT beyond dichotomous items to the Likert-type and rating-scale items that dominate psychometric measurement.Differential item functioning identifies test or survey items that behave differently for examinees from different groups — such as gender, ethnicity, or language background — after controlling for the underlying ability or trait being measured. DIF analysis is essential for fairness evaluation in educational testing and psychological scale development.
ScholarGate데이터셋
  1. v1
  2. 2 출처
  3. PUBLISHED
  1. v1
  2. 2 출처
  3. PUBLISHED

검색으로 이동 슬라이드 다운로드

ScholarGate방법 비교: Ordinal IRT · Differential Item Functioning. 2026-06-18에 다음에서 검색함: https://scholargate.app/ko/compare