Epistemic Network Analysis for Semi-structured Interviews and Other Continuous Narratives: Challenges and Insights
Applying Quantitative Ethnography (QE) techniques to continuous narratives in an inquiry where manual segmentation with a multitude of codes is preferred poses several challenges. In order to address these issues, we developed the Reproducible Open Coding Kit – convention, open source software, and interface – that eases manual coding, enables researchers to reproduce the coding process, compare results, and collaborate. The ROCK can also be employed to prepare data for Epistemic Network Analysis software. Our paper elaborates the challenges we encountered and the insights we gained while conducting a research project on decision-making regarding therapy choice among patients in Budapest, Hungary. Our aim is to broaden the usage of QE, while facilitating Open Science principles and transparency.
KeywordsEpistemic Network Analysis Semi-structured interviews Methodology
The authors would like to acknowledge the support of ÚNKP-18-3-III New National Excellence Program of the Ministry of Human Capacities, Hungary. We would also like to thank Brendan Eagan for his valuable insights throughout the planning and implementation phases of this research. Lastly, we are grateful to research assistants Anna Geröly, Anna Jeney, and Krisztina Veres for their rigorous work.
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