tna:一个R包用于过渡网络分析
Santtu Tikka1, Sonsoles López-Pernas2, Mohammed Saqr2
1University of Jyväskylä, Jyväskylä, Finland.
Applied psychological measurement
|June 9, 2025
概括
本研究介绍了用于过渡网络分析 (TNA) 的R包tna. 它帮助研究人员通过建模状态之间的时间和关系动态来理解教育过渡.
科学领域:
- 教育研究教育研究
- 网络分析 网络分析
- 社会学 社会学 社会学
背景情况:
- 了解教育过渡对于研究学习,动机和社会动态至关重要.
- 现有的方法可能无法充分捕捉这些过渡的时间和关系复杂性.
研究的目的:
- 引入R套件tna,这是一个用于过渡网络分析 (TNA) 的新工具.
- 为分析教育研究中转型的动态提供一个全面的框架.
主要方法:
- 该研究实施了R包tna,为TNA模型估计提供了程序.
- 它包括构建过渡网络,识别模式和计算中心性措施的功能.
- 还提供了网络可视化和对群体差异和过渡重要性的统计评估.
主要成果:
- 该tna包促进了对教育过渡动态的强有力的分析.
- 它可以详细检查状态变化的时间和关系方面.
- 该软件包支持统计比较和转型显著性的评估.
结论:
- 该R包tna为教育过渡网络分析提供了一个统一而强大的框架.
- 该工具增强了研究学习,动机和社会互动中的复杂动态的能力.
- 该套件为研究人员提供了用于网络构建,分析和统计验证的先进方法.
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