论文标题
将网络项目响应模型应用于学生评估数据
Applying the Network Item Response Model to Student Assessment Data
论文作者
论文摘要
这项研究讨论了用于建模学生评估数据的替代工具。该模型从矩阵项目响应中构建网络，并试图在低维欧几里得空间中表示这些数据。该过程比用于建模学生评估数据（例如项目响应理论）的常用方法具有优势，因为它放宽了高度限制性的局部独立假设。本文对模型进行了深入的讨论，以及人们必须采取的步骤来估计该模型。为了通过添加数据来扩展当前模型，讨论了两种用于估计网络中新个体位置的方法。然后，将实际数据分析作为案例研究提供，以使用模型以及如何解释结果。最后，将模型与心理和教育测量中的其他流行模型进行比较并形成鲜明对比：项目响应理论（IRT）和网络心理测量学模型的二进制数据模型。
This study discusses an alternative tool for modeling student assessment data. The model constructs networks from a matrix item responses and attempts to represent these data in low dimensional Euclidean space. This procedure has advantages over common methods used for modeling student assessment data such as Item Response Theory because it relaxes the highly restrictive local-independence assumption. This article provides a deep discussion of the model and the steps one must take to estimate it. To enable extending a present model by adding data, two methods for estimating the positions of new individuals in the network are discussed. Then, a real data analysis is then provided as a case study on using the model and how to interpret the results. Finally, the model is compared and contrasted to other popular models in psychological and educational measurement: Item response theory (IRT) and network psychometric Ising model for binary data.
