Integrating new methods into Quantitative Ethnography (QE) presents an ongoing challenge, as well-established techniques, such as Epistemic Network Analysis have primarily shaped the field. This paper introduces Transition Network Analysis (TNA), a quantitative network modeling technique, and explores how it can be implemented using QE’s unified mixed-methods approach. We outline the core features of TNA, present a structured workflow for its implementation using the QE approach, and demonstrate its application through an illustrative example using a sample dataset. We provide a concrete model for incorporating emerging modeling techniques, thereby supporting methodological expansion and inspiring further innovation within the QE research community.

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Expanding the Quantitative Ethnography Toolkit with Transition Network Analysis: Exploring Methodological Synergies and Boundaries

  • Kamila Misiejuk,
  • Rogers Kaliisa,
  • Sonsoles López-Pernas,
  • Mohammed Saqr

摘要

Integrating new methods into Quantitative Ethnography (QE) presents an ongoing challenge, as well-established techniques, such as Epistemic Network Analysis have primarily shaped the field. This paper introduces Transition Network Analysis (TNA), a quantitative network modeling technique, and explores how it can be implemented using QE’s unified mixed-methods approach. We outline the core features of TNA, present a structured workflow for its implementation using the QE approach, and demonstrate its application through an illustrative example using a sample dataset. We provide a concrete model for incorporating emerging modeling techniques, thereby supporting methodological expansion and inspiring further innovation within the QE research community.