Important QE papers on data coding, coding validation & segmentation, and resources on the nCoder webtool (an automated text coding tool), nCodeR (R package for automated text coding), and Open Science and the Reproducible Open Coding Kit (ROCK), a text segmentation tool.
Shaffer, D. W., & Ruis, A. R. (2021, February). How we code. In International Conference on Quantitative Ethnography (pp. 62-77). Springer, Cham.
This paper provides guidelines for good coding practice and highlights some of the issues and key questions that quantitative ethnographers and other researchers should consider when coding data.
Siebert-Evenstone, A. L., Irgens, G. A., Collier, W., Swiecki, Z., Ruis, A. R., & Shaffer, D. W. (2017). In Search of Conversational Grain Size: Modelling Semantic Structure Using Moving Stanza Windows. Journal of Learning Analytics, 4(3), 123-139.
This paper examines the affordances of temporal segmentation (stanza) for modelling connections in discourse.
Zörgő, S., Swiecki, Z., & Ruis, A. R. (2021, February). Exploring the Effects of Segmentation on Semi-structured Interview Data with Epistemic Network Analysis. In International Conference on Quantitative Ethnography (pp. 78-90). Springer, Cham.
This paper examines the effects of different segmentation decisions on population- and individual-level model features via epistemic network analysis.
nCoder Webtool & nCodeR
Intro to nCoder, ICQE’20, workshop materials by Amanda Siebert-Evenstone, Seung Lee & Brendan Eagan
This workshop explores quantitative ethnographic analysis using nCoder, explains the underlying theory of the tool, and discusses basic use and common strategies.
Open Science and the Reproducible Open Coding Kit (ROCK)
Open Science and the Reproducible Open Coding Kit (ROCK), ICQE’20, workshop materials by Szilvia Zörgő & Gjalt-Ygram Peters
This workshop walks through the fundamentals of the Reproducible Open Coding Kit (ROCK) with a special focus on how it can be employed for QE analyses.