This is a repository of materials associated with the SIOP 2019 Master Tutorial Leveraging Data Science to Facilitate Insightful, Reproducible, and Trustworthy I-O.
File: Leveraging Data Science to Facilitate Insightful, Reproducible.pdf
Description: A powerpoint slide deck describing a variety of data science techniques and how these techniques can be used in IO
File: demo_notebook.ipynb
Description: A notebook detailing a full workflow of collecting, processing, and analyzing tweets related to SIOP. This demo describes and executes code related to APIs, Natural Language Processing, and Machine Learning.
File: tweets.csv
Description: A file of over 4000 tweets related to SIOP and IOPsych. These tweets were collected during March of 2019 using the rtweets library and Twitter API.
File: Additional_Resources.mkd
Description: A list of additional resources, including online tutorials, papers, and book chapters.
Files: install.R and runtime.txt
Description: Files needed to build a binder (binder button is at the top of this page)
If you have questions about the materials in this repository or permissions to use materials please contact Elena Auer (auer0027@umn.edu).
Tutorial Citation:
Auer, E. M., Collmus, A. B., Marin, S., Callan, R. C., & Landers, R. N. (2019, April). Leveraging data science to facilitate insightful, reproducible, and trustworthy I-O. Master tutorial presented at the 34th Annual Conference of the Society for Industrial and Organizational Psychology, National Harbor, MD.