Multidimentional Rasch Testlet Model
An Extension and Generalization of MRCMLM
Bibliographic Data
| ID | 19408472 |
|---|---|
| Authors | Dan Wei (0000-0001-8038-9068, Beijing Normal University), Hongyun Liu (0000-0002-3472-9102, Beijing Normal University), Danhui Zhang (0000-0001-9010-1304, Beijing Normal University) |
| Year | 2017 |
| Volume | 49 |
| Issue | 12 |
| Pages | 1604 |
| Publication date | 2017-01-01 |
| Open Access | No |
| Type | ARTICLE |
| Venue | Acta Psychologica Sinica (JOURNAL) |
| Journal identifiers | ISSN: 0439-755X |
| Publisher | China Science Publishing & Media Ltd (PUBLISHER) |
| DOI | 10.3724/sp.j.1041.2017.01604 |
| OpenAlex | W2765126161 |
| Language | EN |
| Citations received | 1 |
摘要: 本文将多维随机系数多项Logistic模型(MRCMLM)拓展应用到多维题组领域, 得到适用于多维目标能力和多维题组效应的多维题组反应模型(MTRM), 该模型具有高度灵活性和适用性。本文通过两个模拟研究和一个应用研究探究MTRM参数估计精度和模型适用性, 以及与two-tier模型的差异, 结果发现:(1)能力维度间相关和项目评分等级是影响模型参数估计的重要因素; (2) MTRM对项目参数估计准确性和稳定性高于two-tier模型, 对题组效应大小估计更为准确。(3) MTRM在考虑项目内多维题组情况下模型拟合度更高, 为测验分析提供了更广泛的模型结构选择, 具有显著的应用价值
Econometrics · Generalization · Item response theory · Mathematical analysis · Polytomous Rasch model · Psychometrics · Rasch model · Statistics · Advanced Statistical Modeling Techniques · Computer Science · Mathematics · Psychology · Psychometric Methodologies and Testing · Applied Mathematics
| Citations per year | 0.5 |
|---|---|
| Citation span | 2024 - 2024 (1) |
| Highly cited | No |