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

本文件夹包含复现论文手稿中各类展示内容所需的全部数据与Python代码。

文件夹内容:
---------------------------------
- data：用于主题建模的元数据与摘要
- 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
- scopus_search：包含6000余篇已检索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：生成描述性图表
- _4.ipynb/_4.html：包含主题建模代码与输出结果的Jupyter笔记本