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