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Multiclass Rotations in Epistemic Network Analysis

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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

The task of succinctly and insightfully discussing themes in the differences between several (three or more) groups in naturalistic, ethnographic research faces a number of constraints. The number of all possible pairs is a quadratic function of the number of groups, and prior order and stand-out subsets may not exist to narrow that number down. We define and compare methods for guiding this task during Epistemic Network Analysis.

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Author information

Authors and Affiliations

  1. University of Wisconsin–Madison, Madison, WI, 53711, USA

    Mariah A. Knowles, Zhiqiang Cai & David Williamson Shaffer

  2. Drexel University, Philadelphia, PA, 19104, USA

    Amanda Barany

Authors
  1. Mariah A. Knowles
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  2. Amanda Barany
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  3. Zhiqiang Cai
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  4. David Williamson Shaffer
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Corresponding author

Correspondence to Mariah A. Knowles .

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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Knowles, M.A., Barany, A., Cai, Z., Shaffer, D.W. (2023). Multiclass Rotations in Epistemic Network Analysis. 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_5

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  • DOI: https://doi.org/10.1007/978-3-031-31726-2_5

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  • Online ISBN: 978-3-031-31726-2

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