论文标题
李克特风格调查的网络分析方法
Network analysis approach to Likert-style surveys
论文作者
论文摘要
李克特风格的调查是一种广泛使用的研究工具，用于评估受访者的偏好，信念或经验。在本文中，我们提出并证明了如何使用网络分析（NA）来建模和评估李克特风格调查中项目的互连性。我们通过将方法应用于学生体验量表数据集的各个方面，并将结果与主要组件分析进行比较，从而探索了这种方法的优势。我们成功地基于调查项目响应相似性创建一个有意义的网络，并使用网络的模块化分析来识别从特定方面的连接中构建的较大主题。调查项目网络的模块化NA确定了重要的主题，这些主题突出了学生的整体经验。我们对Likert风格调查方法的网络分析非常适用，并提供了一种通过Likert风格的调查评估现象的新方法。
Likert-style surveys are a widely used research instrument to assess respondents' preferences, beliefs, or experiences. In this paper, we propose and demonstrate how network analysis (NA) can be employed to model and evaluate the interconnectedness of items in Likert-style surveys. We explore the advantages of this approach by applying the methodology to the aspects of student experience scale datasets and compare the results to the principal component analysis. We successfully create a meaningful network based on survey item response similarity and use modular analysis of the network to identify larger themes built from the connections of particular aspects. The modular NA of the network of survey items identifies important themes that highlight differences in students' overall experiences. Our network analysis for Likert-style surveys methodology is widely applicable and provides a new way to investigate phenomena assessed by Likert-style surveys.
