General Quantitative Ethnography
Foundational resources on the field of Quantitative Ethnography and links to the Zotero repository and QE YouTube channel
Shaffer, D. W. (2017). Quantitative ethnography. Madison, WI: Cathcart Press
This book is an introduction into the field of Quantitative Ethnography and covers, among others:
- Integration of quantitative and qualitative research methods
- Taxonomy of observations (thick and thin descriptions)
- Issues related to data collection, coding, segmentation and modeling
- The rationale behind Epistemic Network Analysis
Irgens, G. A., & Eagan, B. (2023). The Foundations and Fundamentals of Quantitative Ethnography. In International Conference on Quantitative Ethnography. Springer, Cham
This paper outlines 10 steps in the iterative QE modeling pathway and 5 main practices in a QE analysis.
LAK’18 Keynote: Going Beyond Mixed Methods to Turn Big Data into Real Understanding by David Williamson Shaffer, University of Wisconsin-Madison
This talk is an introduction of the field of Quantitative Ethnography and covers, among others:
- Learning as a process of enculturation
- Integration of quantitative and qualitative research method
- Turning data into understanding
- Introduction to Epistemic Network Analysis
ICQE’20 Keynote: QE Visualizations as Tools for Thinking by Simon Buckingham Shum, University of Technology Sydney
This talk covers, among others:
- Visualisations as communication tools in research and beyond
- ENA and other QEgenerated visuals analysed from the Human-Computer Interaction perspective
- Thoughts on current and future techniques for presenting QE analyses
- Participatory forms of sense-making
International Society for Quantitative Ethnography YouTube Channel
On this channel you will find:
- ISQE webinars
- Selected presentations from QE events, such as QEurious meet-up and QE conferences
QE Zotero
Zotero library listing current Quantitative Ethnography research.
QE Tutorial: Introduction and Overview
A short introduction to the Quantitative Ethnography.
Learning analytics methods and tutorials. A practical guide using R
This book includes all the basics of R as a programming language as well as the basics of data cleaning, statistics, and data manipulation.