For this network, articles published in Applied Measurement in Education, Applied Psychological Measurement, Educational and Psychological Measurement, Educational Measurement: Issues and Practice, Journal of Educational and Behavioral Statistics, Journal of Educational Measurement, or Psychometrika, between 2000 and 2019 were gathered from the Web of Science data base. This resulted in 4,093 articles that cited a total of 56,531 other articles. In order for a citation pair to be included, each citation had to be cited at least 15 times across all articles, and the pair had to be cited together at least 5 times. With these restrictions, the network consists of 157 citations and 931 connections. These represent the most common citations over the past 20 years. Finally, the Louvain clustering algorithm was applied to the network to identify notable groups of inter-related citations.

As might be expected, the largest clusters are made up of citations regarding Item Response Theory, Diagnostic Classification Models, Differential Item Functioning, and Structural Equation Modeling. There are also three smaller clusters with citations related to multi-dimensional assessment, local item dependence, and model fit. Notably, citations related to diagnostic classification models are relatively isolated from the other clusters, with only a few connections to citations outside of the cluster. The sample of selected journals is certainly not exhaustive, but this network provides an overview of how the research literature is related, as well as how large-grain clusters relate to other clusters.

对于该网络，在 2000 年至 2019 年间发表在教育应用测量、应用心理测量、教育和心理测量、教育测量：问题和实践、教育和行为统计杂志、教育测量杂志或 Psychometrika 上的文章收集自Web of Science 数据库。这导致 4,093 篇文章引用了总共 56,531 篇其他文章。为了包含一个引文对，每个引文必须在所有文章中至少被引用 15 次，并且必须至少被一起引用 5 次。有了这些限制，网络由 157 个引用和 931 个连接组成。这些代表了过去 20 年中最常见的引用。最后，

正如所料，最大的集群由关于项目反应理论、诊断分类模型、微分项目功能和结构方程建模的引用组成。还有三个较小的集群，引用与多维评估、本地项目依赖和模型拟合相关。值得注意的是，与诊断分类模型相关的引文与其他集群相对孤立，与集群外部的引文只有很少的联系。所选期刊的样本当然不是详尽无遗的，但该网络概述了研究文献的关联方式，以及大粒度集群与其他集群的关联方式。