방법 비교
선택한 방법을 나란히 검토하세요. 서로 다른 행은 강조 표시됩니다.
| 다수준 라쉬 모형× | Rasch 모형× | |
|---|---|---|
| 분야 | 심리측정학 | 심리측정학 |
| 계열 | Latent structure | Latent structure |
| 기원 연도≠ | 1997 | 1960 |
| 창시자≠ | Adams, Wilson & Wu | Georg Rasch |
| 유형≠ | Hierarchical item response model | Item Response Theory / Latent trait model |
| 원전≠ | Adams, R. J., Wilson, M. & Wu, M. (1997). Multilevel item response models: An approach to errors in variables regression. Journal of Educational and Behavioral Statistics, 22(1), 47–76. DOI ↗ | Rasch, G. (1960). Probabilistic Models for Some Intelligence and Attainment Tests. Danish Institute for Educational Research, Copenhagen. link ↗ |
| 별칭 | hierarchical Rasch model, random-effects Rasch model, multilevel IRT Rasch, MRCML model | 1PL IRT, one-parameter logistic model, Rasch Modeli — 1PL IRT, 1PL model |
| 관련≠ | 5 | 6 |
| 요약≠ | The multilevel Rasch model extends the standard Rasch model to data with a nested structure — for example, students within classrooms within schools — by embedding person ability parameters inside a hierarchical linear model. It yields item difficulty estimates on a logit scale while simultaneously partitioning person-ability variance across cluster levels and correcting standard errors for non-independence. | The Rasch model, introduced by Georg Rasch in 1960, is the simplest member of the Item Response Theory (IRT) family. It assigns a single difficulty parameter to each test item and places both item difficulties and person abilities on the same logit scale, enabling direct, sample-independent comparison of items and persons. |
| ScholarGate데이터셋 ↗ |
|
|