数据提取和数据转换在融合集成混合方法中的方法系统性审查.
Lucylynn Lizarondo1, Cindy Stern1, Susan Salmond2
1JBI, Faculty of Health and Medical Sciences, The University of Adelaide, Adelaide, SA, Australia.
JBI evidence synthesis
|January 20, 2025
概括
本指南阐明了混合方法系统审查 (MMSRs) 的数据转换,特别是质量化. 它为审查人员提供了关于在数据提取过程中进行质量评估的实用建议.
科学领域:
- 证据综合研究
- 混合方法研究研究混合方法研究
- 系统审查是系统的审查.
背景情况:
- 混合方法系统审查 (MMSRs) 整合了定量和定性数据.
- 数据转换,包括质量化 (将定量数据转换为定性数据),在MMSR中至关重要,但人们对其了解甚少.
- 现有的指南需要扩展,以解决质量化的实际方面.
研究的目的:
- 描述涉及MMSRs质量化的数据转换.
- 为了澄清何时以及如何进行质量评估.
- 为了使质量与数据提取对准JBI融合集成MMSRs.
主要方法:
- 在系统审查中对数据转换进行文献搜索.
- 使用JBI融合综合方法分析现有的MMSR.
- 通过专家咨询和委员会审查反复审查指南草案.
主要成果:
- 确定了MMSR数据转换实践中的不确定性和变化.
- 建议在提取过程中保持数据完整性,并在需要时构建叙事表示.
- 描述了质量化作为汇集提取的数据并基于意义创建类别.
结论:
- 这为MMSRs提供了关于数据提取和质量的全面指导.
- 承认需要将方法量身定制到特定的审查环境中.
- 突出了对MMSR发现的确定性和信心评估的未来工作.
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