对定性数据分析的现实主义方法
Nursing research
|August 17, 2023
概括
本研究介绍了定性研究的四步现实数据分析. 这种方法提高了对因果相互作用和计划结果的理解,有助于复杂的决策.
科学领域:
- 评估研究 评估研究
- 质量调查 质量调查
- 批判的现实主义 批判的现实主义
背景情况:
- 现实主义方法在评估研究中很受欢迎,用于理解程序因果关系.
- 专注于程序的运作方式,上下文因素和结果.
- 在定性研究中增强因果相互作用的理论解释.
研究的目的:
- 为定性数据提供一个现实的数据分析方法.
- 在定性数据集中探索因果相互作用.
- 展示一个强大的程序评估方法.
主要方法:
- 采用了根植于批判现实主义的四步现实主义方法.
- 利用回归理论化来进行定性数据分析.
- 步骤包括:类别识别,上下文机制结果配置,半规则性识别和生成机制改进.
主要成果:
- 四步分析揭示了潜在的因果机制和相互作用.
- 产生对程序运行的全面因果解释.
- 确定了模式,模式波动和确认的机制.
结论:
- 通过回归理论化的现实数据分析,支持因果理解.
- 四步方法有助于识别和确认生成机制.
- 为影响社区的复杂决策提供了宝贵的见解.
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