半结构化访谈和其他连续叙述的认知网络分析:挑战和见解

S. Zörgő, G. Peters
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引用次数: 7

摘要

将定量人种志(QE)技术应用于调查中的连续叙述,其中首选使用多种代码进行手动分割,这带来了几个挑战。为了解决这些问题,我们开发了可重复开放编码工具包-惯例,开源软件和接口-简化了手工编码,使研究人员能够重现编码过程,比较结果和协作。ROCK也可以用来为认知网络分析软件准备数据。我们的论文详细阐述了我们遇到的挑战和我们在匈牙利布达佩斯进行关于患者治疗选择决策的研究项目时获得的见解。我们的目标是扩大量化宽松的使用,同时促进开放科学原则和透明度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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.
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