原始数据
编码(社会科学)
主题分析
现象
计算机科学
鉴定(生物学)
过程(计算)
认识论
数据科学
心理学
定性研究
社会学
社会科学
哲学
操作系统
生物
程序设计语言
植物
作者
Jennifer Fereday,Eimear Muir‐Cochrane
标识
DOI:10.1177/160940690600500107
摘要
In this article, the authors describe how they used a hybrid process of inductive and deductive thematic analysis to interpret raw data in a doctoral study on the role of performance feedback in the self-assessment of nursing practice. The methodological approach integrated data-driven codes with theory-driven ones based on the tenets of social phenomenology. The authors present a detailed exemplar of the staged process of data coding and identification of themes. This process demonstrates how analysis of the raw data from interview transcripts and organizational documents progressed toward the identification of overarching themes that captured the phenomenon of performance feedback as described by participants in the study.
科研通智能强力驱动
Strongly Powered by AbleSci AI