Data for: Natural Experiments in Leadership Research: An Introduction, Review, and Guidelines

This folder contains both data and Python code to reproduce the set of exhibits included in the manuscript. Folder contents: --------------------------------- - data: meta-data and abstracts used for the topic modeling - exhibits: charts/tables produced throughout the various stages of the data analysis process - mallet-2.0.8: software to implement topic modeling - scopus_search: raw, tabular data of meta-data and abstracts for the 6,000+ retrieved studies - transformed_data: statistical output produced throughout the various stages of the data analysis process - Python code: - _0.py: data pre-processing for candidate natural experiments - _1.py: data pre-processing for LQ articles - _2.py: descriptive charts _ _4.ipynb/_4.html: Jupyter notebook containing topic modeling code and outcome本文件夹收录了用于复现论文手稿中各类展示内容的全部数据与Python代码。文件夹具体内容如下： - data：用于主题建模（topic modeling）的元数据与摘要文本 - exhibits：数据分析各阶段生成的图表与表格 - mallet-2.0.8：用于实现主题建模的软件工具 - scopus_search：包含6000余篇检索所得研究的元数据与摘要的原始表格数据 - transformed_data：数据分析各阶段生成的统计输出结果 - Python代码： - _0.py：面向候选自然实验的数据预处理脚本 - _1.py：面向LQ文章的数据预处理脚本 - _2.py：用于生成描述性图表的脚本 - _4.ipynb/_4.html：包含主题建模代码与运行结果的Jupyter笔记本