AN EXTENSION OF THE IRT TO A NETWORK MODEL
AN EXTENSION OF THE IRT TO A NETWORK MODEL
复制标题
IRT 到网络模型的扩展
作者：
M. Ueno
传统的项目反应理论（IRT）模型假设了局部独立性，这相当于单维性假设。这一假设表明，受试者对测试中不同项目的反应在统计学上是独立的。假设为真，受试者在一个项目上的表现必须不影响，无论是好是坏，他或她在测试中的任何其他项目的反应。本文的主要目的是放松传统IRT模型中的局部独立性假设，将其扩展到网络模型。定义了一个新的IRT模型，该模型假设概率网络结构为局部独立性的假设。
The traditional Item Response Theory (IRT) models assume local independence, which is equivalent to the assumption of unidimensionality. This assumption states that a subject’s responses to different items in a test are statistically independent. For the assumption to be true, a subject’s performance on one item must not affect, either for better or for worse, his or her responses to any other items in the test. The main purpose of this paper is to relax the local independence assumption in the traditional IRT models by extending to a network model. A new IRT model is defined which assumes probabilistic network structures for the assumption of local independence.