Three approaches to qualitative content analysis
Three approaches to qualitative content analysis
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DOI：
10.1177/1049732305276687
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发表时间：
2005-11-01
影响因子：
3.2
通讯作者：
Shannon, SE
中科院分区：
文献类型：
--
作者：
Hsieh, HF;Shannon, SE
内容分析是一种广泛应用的定性研究方法。内容分析的当前应用不是单一的方法，而是显示了三种不同的方法：常规的、定向的或总结性的。这三种方法都用于从文本数据的内容中解释意义，因此，坚持自然主义范式。这些方法之间的主要区别在于编码方案、代码的来源以及对可信度的威胁。在传统的内容分析中，编码类别直接来自文本数据。采用指导性方法，分析从理论或相关研究成果开始，作为初始代码的指导。总结性内容分析包括计数和比较，通常是关键词或内容，然后是对底层上下文的解释。作者描述了分析程序具体到每个方法和技术解决可信度与假设的例子，从临终关怀领域绘制。
Content analysis is a widely used qualitative research technique. Rather than being a single method, current applications of content analysis show three distinct approaches: conventional, directed, or summative. All three approaches are used to interpret meaning from the content of text data and, hence, adhere to the naturalistic paradigm. The major differences among the approaches are coding schemes, origins of codes, and threats to trustworthiness. In conventional content analysis, coding categories are derived directly from the text data. With a directed approach, analysis starts with a theory or relevant research findings as guidance for initial codes. A summative content analysis involves counting and comparisons, usually of keywords or content,followed by the interpretation of the underlying context. The authors delineate analytic procedures specific to each approach and techniques addressing trustworthiness with hypothetical examples drawn from the area of end-of-life care.