Item Selection Strategies for Computerized Adaptive Testing with the Generalized Partial Credit Model
Item Selection Strategies for Computerized Adaptive Testing with the Generalized Partial Credit Model
Bibliographic Data
| ID | 19408777 |
|---|---|
| Authors | Zhen Liu (0000-0002-8440-2554, Jiangxi Normal University, corresponding author) |
| Year | 2008 |
| Volume | 40 |
| Issue | 5 |
| Pages | 618-625 |
| Publication date | 2008-10-28 |
| Peer Reviewed | Yes |
| 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.1041.2008.00618 |
| OpenAlex | W2087640012 |
| Language | EN |
| Citations received | 3 |
| References cited | 4 |
摘要: 选题策略是计算机自适应测验(Computerized Adaptive Testing , CAT)研究的一项重要内容,它的好坏直接关系到考试的信度、效度及考试的安全性。CAT的许多研究与应用,都建立在0-1二级评分模型基础上,对多级评分CAT的选题策略的研究很少报导。目前国内虽已开展了基于GRM的CAT研究,但基于GPCM的CAT的研究尚未见有关报道。本文通过计算机模拟程序,对基于拓广分部评分模型(Generalized Partial Credit Model, GPCM)下的CAT的四种选题策略在多种情况下进行了比较研究。研究结果表明:被试能力呈正态分布时,选题策略的使用效果与项目步骤参数分布有很大的关系。(1)项目步骤参数均服从正态分布时,采用能力与项目步骤参数匹配选题策略效果最佳;(2)项目步骤参数均服从均匀分布时,能力与项目步骤参数平均数匹配选题策略效果最佳
Computerized adaptive testing · Data mining · Econometrics · Item response theory · Machine learning · Model selection · Polytomous Rasch model · Statistics · Advanced Statistical Modeling Techniques · Computer Science · Mathematics · Psychometric Methodologies and Testing · Technology and Data Analysis
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| Unique citing works | 3 |
|---|---|
| Citations per year | 0.23 |
| Citation span | 2013 - 2015 (3) |
| Citation velocity | historical |
| Highly cited | No |
| Citation types | Neutral: 1 |