网络项目反应模型在学生评价数据中的应用
Applying the Network Item Response Model to Student Assessment Data
摘要：
本研究讨论了一种替代工具建模的学生评估数据。该模型从一个矩阵项目响应构建网络，并试图在低维欧氏空间中表示这些数据。这个过程具有优势，用于建模学生评估数据，如项目反应理论，因为它放松了高度限制性的本地独立性假设的常用方法。本文深入讨论了该模型以及估计该模型所必须采取的步骤。为了能够通过添加数据来扩展现有模型，讨论了两种估计网络中新个体位置的方法。然后，一个真实的数据分析，然后提供了一个案例研究如何使用模型和解释结果。最后，将该模型与心理和教育测量中的其他流行模型：项目反应理论（IRT）和二进制数据的网络心理测量伊辛模型进行了比较和对比。
英文摘要：
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.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
