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| 다집단 라쉬 모형× | 다집단 측정 불변성 검정× | |
|---|---|---|
| 분야 | 심리측정학 | 심리측정학 |
| 계열 | Latent structure | Latent structure |
| 기원 연도≠ | 1960 (Rasch); 1980s–1990s (multi-group extensions) | 1971–1993 |
| 창시자≠ | Georg Rasch (single-group); extended to multi-group applications by Fischer, Molenaar, and others | Jöreskog, K. G. (1971); Meredith, W. (1993) |
| 유형≠ | Item response model / measurement invariance test | Model comparison / hypothesis testing |
| 원전≠ | Fischer, G. H. & Molenaar, I. W. (Eds.) (1995). Rasch Models: Foundations, Recent Developments, and Applications. Springer. ISBN: 978-0387944296 | 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 ↗ |
| 별칭 | MG-Rasch, Rasch measurement invariance, multi-group 1PL IRT, cross-group Rasch analysis | measurement invariance, factorial invariance, cross-group invariance, MI testing |
| 관련 | 6 | 6 |
| 요약≠ | The multi-group Rasch model fits the one-parameter logistic item response model simultaneously across two or more distinct groups, testing whether item difficulty parameters are invariant across groups. It is the primary psychometric tool for establishing that a scale measures the same latent trait with the same metric in each group, a prerequisite for meaningful score comparisons. | 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. |
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