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The Role of Data Simulation in 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

Data simulations are powerful analytic tools that give researchers a great degree of control over data collection and experimental design. Despite these advantages, data simulations have not yet received the same amount of use as other techniques within the context of quantitative ethnography. In this paper, we explore the reasons for this and use examples of recent work to argue that data simulations can—and already do—play an important role in quantitative ethnography.

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Notes

  1. 1.

    In textual data, lines of text are composed of tokens: the individual, or unique combinations of, pieces of information that each line of data contains [22].

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Acknowledgements

This work was funded in part by Monash University, the National Science Foundation (DRL-1661036, DRL-1713110, DRL-2100320), the Wisconsin Alumni Research Foundation, and the Office of the Vice Chancellor for Research and Graduate Education at the University of Wisconsin-Madison. The opinions, findings, and conclusions do not reflect the views of the funding agencies, cooperating institutions, or other individuals.

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Authors and Affiliations

  1. Monash University, Clayton, VIC, 3800, Australia

    Zachari Swiecki

  2. University of Wisconsin-Madison, Madison, WI, 53711, USA

    Brendan Eagan

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  1. Zachari Swiecki
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  2. Brendan Eagan
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Correspondence to Zachari Swiecki .

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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Swiecki, Z., Eagan, B. (2023). The Role of Data Simulation in 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_7

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  • DOI: https://doi.org/10.1007/978-3-031-31726-2_7

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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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