Network Analysis for the Visualization and Analysis of Qualitative Data
Network Analysis for the Visualization and Analysis of Qualitative Data
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DOI：
10.1037/met0000129
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发表时间：
2018-03-01
影响因子：
7
通讯作者：
Saron, Clifford D.
中科院分区：
文献类型：
--
作者：
Pokorny, Jennifer J.;Norman, Alex;Saron, Clifford D.
我们提出了一种新的方式来可视化定性数据的编码，使得能够使用图论和网络分析来表示和分析代码之间的联系。网络图是根据应用于文字记录或音频文件的代码创建的，这些代码使用代码名称及其时间位置。所得到的网络是表征码之间相互关系的编码数据的表示。该方法能够使用网络分析来量化定性代码，并便于使用普通统计程序来检查网络指数与其他量化变量的关联。在这里，作为概念的证明，我们将这种方法应用于一组以两种不同方式编码的面试成绩单，并检查了结果网络图。网络图的创建使研究人员有机会以一种创新的方式查看和分享他们的定性数据，这可能会提供新的见解，并提高他们得出结论的分析过程的透明度。
We present a novel manner in which to visualize the coding of qualitative data that enables representation and analysis of connections between codes using graph theory and network analysis. Network graphs are created from codes applied to a transcript or audio file using the code names and their chronological location. The resulting network is a representation of the coding data that characterizes the interrelations of codes. This approach enables quantification of qualitative codes using network analysis and facilitates examination of associations of network indices with other quantitative variables using common statistical procedures. Here, as a proof of concept, we applied this method to a set of interview transcripts that had been coded in 2 different ways and the resultant network graphs were examined. The creation of network graphs allows researchers an opportunity to view and share their qualitative data in an innovative way that may provide new insights and enhance transparency of the analytical process by which they reach their conclusions.