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