定性数据分析:反思,程序,以及需要考虑的一些点
1Kathmandu University School of Education, Lalitpur, Nepal.
Frontiers in research metrics and analytics
|October 16, 2025
概括
本指南使用构造主义的基础理论去神秘化定性数据分析 (QDA). 它强调与参与者合作创造意义,以及严格的方法,如反射性和三角化,以获得有意义的见解.
科学领域:
- 社会科学 社会科学 社会科学
- 定性研究方法 定性研究方法
背景情况:
- 定性数据分析 (QDA) 对研究人员来说可能是复杂的.
- 构造主义的立足理论方法为理解QDA提供了一个框架.
研究的目的:
- 为了消除定性数据分析 (QDA) 的神秘性.
- 为学者提供关于严格和有意义的数据分析的实用指南.
主要方法:
- 构造主义的立足理论方法.
- 强调主体间的关系和共同构建的解释.
- 包括成员检查,反射性,同行汇报和三角化.
主要成果:
- QDA被呈现为从各种数据形式中提取意义的代过程.
- 探索各种定性方法的数据沉浸,编码和主题开发等程序.
- 数据和被确定为分析的最后一步.
结论:
- 解决实现跨主体意义构建和数据和的挑战.
- 在定性数据分析中确保严格性的实际策略和考虑.
- 赋予学者有效QDA的工具.
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