内容分析
定性研究
定性分析
分类
内容(测量理论)
自反性
编码(社会科学)
定性性质
介绍(产科)
计算机科学
数据科学
心理学
社会学
社会科学
数学
人工智能
医学
数学分析
机器学习
放射科
作者
James W. Drisko,Tina Maschi
出处
期刊:Oxford University Press eBooks
[Oxford University Press]
日期:2015-12-01
卷期号:: 81-120
被引量:8
标识
DOI:10.1093/acprof:oso/9780190215491.003.0004
摘要
Abstract This chapter examines qualitative content analysis, a recent methodological innovation. Qualitative content analysis is defined and distinguished here from basic and interpretive approaches to content analysis. Qualitative content analysis is also distinguished from other qualitative research methods, though features and techniques overlap with other qualitative methods. Key differences in the predominant use of newly collected data and use of non-quantitative analysis techniques are detailed. Differences in epistemology and the role of researcher self-awareness and reflexivity are also discussed. Methods of graphic data presentation are illustrated. Three short exemplar studies using qualitative content analysis are described and examined. Qualitative content analysis is explored in detail in terms of its characteristic components: (1) the research purposes of content analysis, (2) target audiences, (3) epistemological issues, (4) ethical issues, (5) research designs, (6) sampling issues and methods, (7) collecting data, (8) coding and categorization methods, (9) data analysis methods, and (10) the role of researcher reflection.
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