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The Foundations and Fundamentals of Quantitative Ethnography

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Advances in Quantitative Ethnography (ICQE 2022)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1785))

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Abstract

As the Quantitative Ethnography (QE) community becomes more inter-disciplinary, it will need multiple theoretical accounts to fit with the multiple epistemologies of researchers. Thus, in this paper, we provide one theoretical account. We argue that ethnography is foundational to QE, quantification augments ethnographic accounts, and that critical reflexivity is necessary in QE. Then, we outline ten iterative steps of QE analyses, explained through two examples, and articulate five main practices. Our goals for this paper are to 1) distill fundamental aspects of QE for new adopters, 2) offer a summarized account for established QE practitioners, 3) clarify underlying values and practices that drive the methodology, and 4) highlight which practices are essential to QE and which are flexible. This paper provides one accessible summarization of QE for an inter-disciplinary field.

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References

  1. Hutchins, E.: Cognition in the Wild. MIT press (1995)

    Google Scholar 

  2. Geertz, C.: The Interpretation of Cultures. Basic books (1973)

    Google Scholar 

  3. Gee, J.P.: An Introduction to Discourse Analysis: Theory and Method. Routledge, Milton Park, Abingdon, New York (2011)

    Google Scholar 

  4. Shaffer, D.W.: Quantitative Ethnography. Cathcart Press, Madison, WI (2017)

    Google Scholar 

  5. Watt, D.: On Becoming a qualitative researcher: the value of reflexivity. Qual, Report 12, 82–101 (2007)

    Google Scholar 

  6. Haraway, D.: Situated knowledges: the science question in feminism and the privilege of partial perspective. Fem. Stud. 14, 575–599 (1988). https://doi.org/10.2307/3178066

    Article  Google Scholar 

  7. Corple, D.J., Linabary, J.R.: From data points to people: feminist situated ethics in online big data research. Int. J. Soc. Res. Methodol. 23, 155–168 (2020). https://doi.org/10.1080/13645579.2019.1649832

    Article  Google Scholar 

  8. Arastoopour Irgens, G.: Using knowledgeable agents of the digital and data feminism to uncover social identities in the #blackgirlmagic Twitter community. Learn. Media Technol. 47, 79–94 (2022). https://doi.org/10.1080/17439884.2021.2018608

    Article  Google Scholar 

  9. Pacheco-Vega, R., Parizeau, K.: Doubly engaged ethnography: opportunities and challenges when working with vulnerable communities. Int. J. Qual. Methods 17, 160940691879065 (2018). https://doi.org/10.1177/1609406918790653

    Article  Google Scholar 

  10. Pea, R.: Practices of distributed intelligence and designs for education. In: Salomaon, G. (ed.) Distributed Cognitions: Psychological and Educational Considerations. Cambridge University Press, New York (1993)

    Google Scholar 

  11. D’Ignazio, C., Klein, L.F.: Data Feminism. The MIT Press, Cambridge, Massachusetts (2020)

    Book  Google Scholar 

  12. Arastoopour Irgens, G.: Quantitative Ethnography Across Domains: Where We Are and Where We Are Going. Madison, WI (2019)

    Google Scholar 

  13. Hod, Y., Katz, S., Eagan, B.: Refining qualitative ethnographies using Epistemic Network Analysis: a study of socioemotional learning dimensions in a Humanistic Knowledge Building Community. Comput. Educ. 156, 103943 (2020). https://doi.org/10.1016/j.compedu.2020.103943

    Article  Google Scholar 

  14. Guba, E.G., Lincoln, Y.S.: Fourth Generation Evaluation. Sage (1989)

    Google Scholar 

  15. Glesne, C.: Becoming Qualitative Researchers: An Introduction. Pearson, Boston (2014)

    Google Scholar 

  16. Siebert-Evenstone, A.L., Arastoopour Irgens, G., Collier, W., Swiecki, Z., Ruis, A.R., Shaffer, D.W.: In search of conversational grain size: Modeling semantic structure using moving stanza windows. J. Learn. Anal. 4, 123–139 (2017)

    Google Scholar 

  17. Zörgő, S., Swiecki, Z., Ruis, A.R.: Exploring the effects of segmentation on semi-structured interview data with epistemic network analysis. In: Ruis, A.R., Lee, S.B. (eds.) ICQE 2021. CCIS, vol. 1312, pp. 78–90. Springer, Cham (2021). https://doi.org/10.1007/978-3-030-67788-6_6

    Chapter  Google Scholar 

  18. Frey, K.S., McDonald, K.L., Onyewuenyi, A.C., Germinaro, K., Eagan, B.R.: “I Felt Like a Hero:” Adolescents’ understanding of resolution-promoting and vengeful actions on behalf of their peers. J. Youth Adolesc. 50(3), 521–535 (2020). https://doi.org/10.1007/s10964-020-01346-3

    Article  Google Scholar 

  19. 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

    Chapter  Google Scholar 

  20. Peters, G.-J., Zörgő, S.: Introduction to the Reproducible Open Coding Kit (ROCK) (2019). https://psyarxiv.com/stcx9/

  21. Gašević, D., Joksimović, S., Eagan, B.R., Shaffer, D.W.: SENS: Network analytics to combine social and cognitive perspectives of collaborative learning. Comput. Hum. Behav. 92, 562–577 (2019). https://doi.org/10.1016/j.chb.2018.07.003

    Article  Google Scholar 

  22. Oshima, J., Oshima, R., Fujita, W.: A mixed-methods approach to analyze shared epistemic agency in jigsaw instruction at multiple scales of temporality. J. Learn. Anal. 5, 10–24 (2018). https://doi.org/10.18608/jla.2018.51.2

  23. Arastoopour Irgens, G.: Facilitating a sense of belonging for women of color in engineering. In: Roscoe, R.D., Chiou, E.K., Wooldrige, A.R. (eds.) Advancing Diversity, Inclusion, and Social Justice Through Human Systems Engineering, pp. 221–239. CRC Press, Boca Raton (2019)

    Chapter  Google Scholar 

  24. Arastoopour Irgens, G., Chandra, S., Dabholkar, S., Horn, M., Wilensky, U.: Classifying emergent student learning in a high school computational chemistry unit. In: American Education Research Association (AERA) Conference. Toronto, CA (2019)

    Google Scholar 

  25. Swiecki, Zachari: The expected value test: A new statistical warrant for theoretical saturation. In: Wasson, Barbara, Zörgő, Szilvia (eds.) Advances in Quantitative Ethnography: Third International Conference, ICQE 2021, Virtual Event, November 6–11, 2021, Proceedings, pp. 49–65. Springer International Publishing, Cham (2022). https://doi.org/10.1007/978-3-030-93859-8_4

    Chapter  Google Scholar 

  26. Vega, H., Irgens, G.A., Bailey, C.: Negotiating tensions: a study of pre-service English as foreign language teachers’ sense of identity within their community of practice. In: Ruis, A.R., Lee, S.B. (eds.) ICQE 2021. CCIS, vol. 1312, pp. 277–291. Springer, Cham (2021). https://doi.org/10.1007/978-3-030-67788-6_19

    Chapter  Google Scholar 

  27. Swiecki, Z., Ruis, A.R., Farrell, C., Shaffer, D.W.: Assessing individual contributions to Collaborative Problem Solving: A network analysis approach. Comput. Hum. Behav. 104, 105876 (2020). https://doi.org/10.1016/j.chb.2019.01.009

    Article  Google Scholar 

  28. Wong, D.M.: The Wall Street Journal Guide to Information Graphics: The Dos and Don’ts of Presenting Data, Facts, and Figures. W. W. Norton & Company, New York; London (2013)

    Google Scholar 

  29. Burns, A.: Analyzing ethnographic data. In: Tyner-Mullings, A., Gatta, M., and Coughlan, R. (eds.) Ethnography Made Easy. CUNY Open Educational Resource (2019)

    Google Scholar 

  30. Winter, G.: A Comparative Discussion of the Notion of “Validity” in Qualitative and Quantitative Research. TQR (2000). https://doi.org/10.46743/2160-3715/2000.2078

  31. 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

    Chapter  Google Scholar 

  32. Vega, H., Arastoopour Irgens, G.A.: Constructing interpretations with participants through epistemic network analysis: towards participatory approaches in quantitative ethnography. In: Wasson, B., Zörgő, S. (eds.) Advances in Quantitative Ethnography, pp. 3–16. Springer International Publishing, Cham (2022)

    Chapter  Google Scholar 

  33. Candela, A.: Exploring the Function of Member Checking. TQR (2019). https://doi.org/10.46743/2160-3715/2019.3726

  34. Shum, S.B., et al.: Participatory Quantitative Ethnography. In: Advances in Quantitative Ethnography, pp. 126–138. Malibu, CA

    Google Scholar 

  35. Eagan, B., Rogers, B., Serlin, R., Ruis, A.R., Arastoopour Irgens, G., Shaffer, D.W.: Can we rely on irr? testing the assumptions of inter-rater reliability. In: International Conference on Computer Supported Collaborative Learning (2017)

    Google Scholar 

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Author information

Authors and Affiliations

  1. Clemson University, Clemson, USA

    Golnaz Arastoopour Irgens

  2. University of Wisconsin-Madison, Madison, USA

    Brendan Eagan

Authors
  1. Golnaz Arastoopour Irgens
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  2. Brendan Eagan
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Corresponding authors

Correspondence to Golnaz Arastoopour Irgens or Brendan Eagan .

Editor information

Editors and Affiliations

  1. University of Oslo, Oslo, Norway

    Crina Damşa

  2. Drexel University School of Education, Philadelphia, PA, USA

    Amanda Barany

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Arastoopour Irgens, G., Eagan, B. (2023). The Foundations and Fundamentals of Quantitative Ethnography. In: Damşa, C., Barany, A. (eds) Advances in Quantitative Ethnography. ICQE 2022. Communications in Computer and Information Science, vol 1785. Springer, Cham. https://doi.org/10.1007/978-3-031-31726-2_1

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  • DOI: https://doi.org/10.1007/978-3-031-31726-2_1

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-31725-5

  • Online ISBN: 978-3-031-31726-2

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