A quick introduction to text analysis, with an emphasis on formal / quantitative approaches.
Topics
grounded theory
open and closed coding
content analysis
sentiment analysis
topic modeling
Readings
Gersick, Bartunek & Dutton. 2000. Learning from Academia: The importance of relationships in professional life. Academy of Management Journal 43(6): 1026-1044. [^pdf],
Blei, D.M., Ng, A.Y. and Jordan, M.I., 2003. Latent dirichlet allocation. Journal of machine Learning research, 3(Jan), pp.993-1022. [pdf] (just skim this)
Use of ChatGPT in coding texts (optional)
Theelen, H., Vreuls, J., & Rutten, J. (2024). Doing Research with Help from ChatGPT: Promising Examples for Coding and Inter-Rater Reliability. International Journal of Technology in Education, 7(1), 1-18.
Handouts
Introduction to Grounded Theory [html]
What to look for when open-coding text [html]
Coding [html]
Content analysis
Content analysis process [html]
Exercises
Data
Notes
R scripts
Resources