방법 비교
선택한 방법을 나란히 검토하세요. 서로 다른 행은 강조 표시됩니다.
| 다집단 문항 반응 이론(Multi-Group Item Response Theory, MG-IRT)× | 차별 문항 기능(Differential Item Functioning, DIF)× | |
|---|---|---|
| 분야 | 심리측정학 | 심리측정학 |
| 계열 | Latent structure | Latent structure |
| 기원 연도≠ | 1990s | 1970s–1993 |
| 창시자≠ | Multiple contributors; formalized by Birnbaum (1968) for IRT; multi-group extensions developed through 1980s–1990s | William H. Angoff and colleagues (ETS); systematized by Holland & Wainer |
| 유형≠ | Latent trait / measurement invariance | Item-level bias detection |
| 원전≠ | Embretson, S. E. & Reise, S. P. (2000). Item Response Theory for Psychologists. Lawrence Erlbaum Associates. ISBN: 978-0805828191 | Holland, P. W. & Wainer, H. (Eds.) (1993). Differential Item Functioning. Lawrence Erlbaum Associates. ISBN: 978-0805809589 |
| 별칭 | MG-IRT, multiple-group IRT, multi-group latent trait model, IRT across groups | DIF, item bias analysis, measurement non-equivalence, item-level measurement bias |
| 관련≠ | 6 | 5 |
| 요약≠ | Multi-group item response theory fits IRT models simultaneously across two or more defined groups — such as males and females, or different cultural samples — to determine whether item parameters are invariant across those groups. It is the primary IRT-based framework for testing measurement equivalence and detecting differential item functioning (DIF) at the model level. | 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 ↗ |
|
|