健康科学研究中的定性数据和
1University of Ghana School of Nursing, Public Health Nursing, University of Ghana, Accra, Ghana.
Nurse researcher
|October 30, 2025
概括
定性数据和 (QDS) 基准有助于研究人员确定何时停止数据收集. 本指南提供了实用方法,并讨论了有效QDS的潜在挑战.
科学领域:
- 定性研究方法论 定性研究方法论
- 数据分析策略 数据分析策略
背景情况:
- 确定数据收集的终点是定性研究中的一个关键挑战.
- 定性数据和 (QDS) 是一个关键概念,但对于研究人员来说,确定其明确指标可能很困难.
研究的目的:
- 讨论指导定性数据收集的实际基准.
- 为实现定性数据和提供有效的方法.
主要方法:
- 文献审查以建立关于定性数据和的现有知识.
- 在定性研究中整合作者的实践经验.
- 讨论如何使数据和,和点以及数据数量/质量变得可操作.
主要成果:
- 探索基准,以帮助研究人员决定何时可以停止数据收集.
- 在实现和的过程中考虑潜在的陷.
结论:
- 定性数据和最好在诱导性研究设计中理解.
- 使用先前的样本数据的演推理可以帮助指导和.
- 提出的方法为未来的定性研究努力提供了一个框架.
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