Abstract
Quantitative Ethnography is a nascent field now formulating the specifics of its conceptual framework and terminology for a unified, quantitative – qualitative methodology. Our living, systematic review aims to shed light on decisions in research design that the community has made thus far in the domain of data collection, coding & segmentation, analysis, and how Quantitative Ethnography as a methodology is conceptualized. Our analysis intends to spur discussions on these issues within the community and help establish a lingua franca.
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References
Gee, J.: An Introduction to Discourse Analysis: Theory and Method. Routledge, London (2014)
Shaffer, D.: Quantitative Ethnography. Cathcart Press (2017)
Buckingham Shum, S., Echeverria, V., Martinez-Maldonado, R.: The multimodal matrix as a quantitative ethnography methodology. In: ICQE 2019: Advances in Quantitative Ethnography, pp. 26–40. Springer, Madison (2019)
Dowell, N.M.M., Nixon, T.M., Graesser, A.C.: Group communication analysis: a computational linguistics approach for detecting sociocognitive roles in multiparty interactions. Behav. Res. Methods 51(3), 1007–1041 (2018). https://doi.org/10.3758/s13428-018-1102-z
Cai, Z., Siebert-Evenstone, A., Eagan, B., Shaffer, D.W., Hu, X., Graesser, A.C.: nCoder+: a semantic tool for improving recall of nCoder coding. In: Eagan, B., Misfeldt, M., Siebert-Evenstone, A. (eds.) ICQE 2019. CCIS, vol. 1112, pp. 41–54. Springer, Cham (2019). https://doi.org/10.1007/978-3-030-33232-7_4
Zörgő, S., Peters, G.-J.Y.: Epistemic network analysis for semi-structured interviews and other continuous narratives: challenges and insights. In: Eagan, B., Misfeldt, M., Siebert-Evenstone, A. (eds.) ICQE 2019. CCIS, vol. 1112, pp. 267–277. Springer, Cham (2019). https://doi.org/10.1007/978-3-030-33232-7_23
Bowman, D., et al.: The mathematical foundations of epistemic network analysis. In: Ruis, A.R., Lee, S.B. (eds.) ICQE 2021. CCIS, vol. 1312, pp. 91–105. Springer, Cham (2021). https://doi.org/10.1007/978-3-030-67788-6_7
O’Brien, B.C., Harris, I.B., Beckman, T.J., et al.: Standards for reporting qualitative research: a synthesis of recommendations. Acad. Med. 89, 1245–1251 (2014). https://doi.org/10.1097/ACM.0000000000000388
Nosek, B., Alter, G., Banks, G.: Transparency and Openness Promotion (TOP) Guidelines (2020)
Porter, C., Donegan, S.R., Eagan, B., et al.: A systematic review of quantitative ethnography methods. In: ICQE 2020: Conference Proceedings Supplement. ISQE, Virtual, pp. 35–38 (2021)
Bazeley, P.: Qualitative Data Analysis: Practical Strategies. Sage Publications, Thousand Oaks (2013)
Stemler, S.: An overview of content analysis. In: Practical Assessment, Research, and Evaluation, p. 7 (2000)
Kaliisa, R., Misiejuk, K., Irgens, G.A., Misfeldt, M.: Scoping the emerging field of quantitative ethnography: opportunities, challenges and future directions. In: Ruis, A.R., Lee, S.B. (eds.) ICQE 2021. CCIS, vol. 1312, pp. 3–17. Springer, Cham (2021). https://doi.org/10.1007/978-3-030-67788-6_1
Shaffer, D.W., Ruis, A.R.: How we code. In: Ruis, A.R., Lee, S.B. (eds.) ICQE 2021. CCIS, vol. 1312, pp. 62–77. Springer, Cham (2021). https://doi.org/10.1007/978-3-030-67788-6_5
Williamson Shaffer, D., Serlin, R.: What good are statistics that don’t generalize? Educ. Res. 33, 14–25 (2004). https://doi.org/10.3102/0013189X033009014
Misiejuk, K., Scianna, J., Kaliisa, R., Vachuska, K., Shaffer, D.W.: Incorporating sentiment analysis with epistemic network analysis to enhance discourse analysis of Twitter data. In: Ruis, A.R., Lee, S.B. (eds.) ICQE 2021. CCIS, vol. 1312, pp. 375–389. Springer, Cham (2021). https://doi.org/10.1007/978-3-030-67788-6_26
Acknowledgements
This work was funded in part by the National Science Foundation (DRL-1661036, DRL-1713110), the Wisconsin Alumni Research Foundation, and the Office of the Vice Chancellor for Research and Graduate Education at the University of Wisconsin-Madison. This project has also received funding from the European Union’s Horizon 2020 research and innovation program under the Marie Sklodowska-Curie grant agreement No. 101028644. The opinions, findings, and conclusions do not reflect the views of the funding agencies, cooperating institutions, or other individuals.
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Zörgő, S., Peters, GJ.Y., Porter, C., Moraes, M., Donegan, S., Eagan, B. (2022). Methodology in the Mirror: A Living, Systematic Review of Works in Quantitative Ethnography. In: Wasson, B., Zörgő, S. (eds) Advances in Quantitative Ethnography. ICQE 2021. Communications in Computer and Information Science, vol 1522. Springer, Cham. https://doi.org/10.1007/978-3-030-93859-8_10
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