方法对比
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| 多层拉斯模型× | Rasch 模型× | |
|---|---|---|
| 领域 | 心理测量学 | 心理测量学 |
| 方法族 | Latent structure | Latent structure |
| 起源年份≠ | 1997 | 1960 |
| 提出者≠ | Adams, Wilson & Wu | Georg Rasch |
| 类型≠ | Hierarchical item response model | Item Response Theory / Latent trait model |
| 开创性文献≠ | 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 ↗ |
| 别名 | hierarchical Rasch model, random-effects Rasch model, multilevel IRT Rasch, MRCML model | 1PL IRT, one-parameter logistic model, Rasch Modeli — 1PL IRT, 1PL model |
| 相关≠ | 5 | 6 |
| 摘要≠ | 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. |
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