相关实验视频
Updated: Jun 3, 2025

09:36
Assessment of Child Anthropometry in a Large Epidemiologic Study
Published on: February 2, 2017
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在定性研究研究中评估数据的充分性
概括
定性研究人员应该超越数据和,这个概念与建设主义方法不一致. 相反,优先考虑信息力量,概念深度和理论充分性,以实现强大的定性研究和数据充足性.
科学领域:
- 定性研究方法论 定性研究方法论
- 认识论在社会科学中的认识论.
背景情况:
- 数据和的概念在定性研究中通常用于确定样本大小.
- 这种方法往往植根于一种积极主义范式,这可能与定性调查的基础哲学相冲突.
研究的目的:
- 在定性研究中批评数据和的使用.
- 提出替代概念来证明样本规模和数据收集停止的合理性.
主要方法:
- 研究范式和采样策略的概念分析.
- 文献综述和现有定性研究原则的综合.
主要成果:
- 数据和在哲学上与建设主义和解释主义研究范式是不相容的.
- 信息力量,概念深度和理论充分性等替代概念提供了更合适的框架.
结论:
- 研究人员应该采用信息力量,概念深度和理论充分性,而不是数据和.
- 在整个研究过程中,从设计到分析,应该反复评估数据的充分性.
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