방법 비교
선택한 방법을 나란히 검토하세요. 서로 다른 행은 강조 표시됩니다.
| 다집단 측정 불변성 검정× | 차별 문항 기능(Differential Item Functioning, DIF)× | |
|---|---|---|
| 분야 | 심리측정학 | 심리측정학 |
| 계열 | Latent structure | Latent structure |
| 기원 연도≠ | 1971–1993 | 1970s–1993 |
| 창시자≠ | Jöreskog, K. G. (1971); Meredith, W. (1993) | William H. Angoff and colleagues (ETS); systematized by Holland & Wainer |
| 유형≠ | Model comparison / hypothesis testing | Item-level bias detection |
| 원전≠ | Vandenberg, R. J. & Lance, C. E. (2000). A review and synthesis of the measurement invariance literature: Suggestions, practices, and recommendations for organizational research. Organizational Research Methods, 3(1), 4–70. DOI ↗ | Holland, P. W. & Wainer, H. (Eds.) (1993). Differential Item Functioning. Lawrence Erlbaum Associates. ISBN: 978-0805809589 |
| 별칭 | measurement invariance, factorial invariance, cross-group invariance, MI testing | DIF, item bias analysis, measurement non-equivalence, item-level measurement bias |
| 관련≠ | 6 | 5 |
| 요약≠ | Multi-group measurement invariance testing examines whether a latent construct is measured in the same way across two or more distinct groups — such as cultures, genders, or age cohorts. It is a prerequisite for meaningful group comparisons of latent means or relationships, ensuring that observed score differences reflect true differences rather than measurement artifacts. | 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 ↗ |
|
|