定性研究
三角测量
数据收集
内容分析
计算机科学
背景(考古学)
定性性质
可信赖性
数据科学
定性分析
过程(计算)
社会学
互联网隐私
社会科学
操作系统
机器学习
生物
古生物学
地图学
地理
作者
Susan Renz,Jane M. Carrington,Terry A. Badger
标识
DOI:10.1177/1049732317753586
摘要
The overarching aim of qualitative research is to gain an understanding of certain social phenomena. Qualitative research involves the studied use and collection of empirical materials, all to describe moments and meanings in individuals' lives. Data derived from these various materials require a form of analysis of the content, focusing on written or spoken language as communication, to provide context and understanding of the message. Qualitative research often involves the collection of data through extensive interviews, note taking, and tape recording. These methods are time- and labor-intensive. With the advances in computerized text analysis software, the practice of combining methods to analyze qualitative data can assist the researcher in making large data sets more manageable and enhance the trustworthiness of the results. This article will describe a novel process of combining two methods of qualitative data analysis, or Intramethod triangulation, as a means to provide a deeper analysis of text.
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