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网络分析以可视化定性结果:国家儿童虐待热线定性内容分析的例子
Laura M Schwab-Reese1, Nicholas C Lenfestey1, Amelia W Hartley1
1Purdue University, West Lafayette, IN, USA.
Health promotion practice
|October 6, 2024
概括
网络分析可视化了定性数据,在充满希望的对话中揭示了密集的代码网络. 这种方法增强了超越危机咨询研究传统方法的解释能力.
科学领域:
- 社会科学 社会科学 社会科学
- 心理学 心理学 心理学
- 沟通研究 沟通研究
背景情况:
- 定性数据分析可能是复杂的可视化.
- 网络分析提供了一种可视化表示编码数据及其共发生的方法.
- 网络分析对定性数据的先前应用已经存在,但在这里探索了危机咨询的具体适应.
研究的目的:
- 展示网络分析的应用,用于从危机咨询成绩单中可视化定性数据.
- 将被认为是充满希望和绝望的对话之间的网络结构进行比较.
- 帮助研究人员通过网络分析来解释和可视化定性数据.
主要方法:
- 对265个未被识别的危机咨询成绩单进行定性内容分析.
- 在成绩单中存在/缺席的代码的量化.
- 使用UCINET进行网络分析和使用Gephi进行可视化,根据对话后调查对"有希望"和"没有希望"的数据集进行比较.
主要成果:
- 代码并发网络的密度更高,并且在"有希望"的对话中平均程度更高.
- "充满希望"的对话包含了诸如信息,辅导员支持和解决问题的代码.
- "无望"的谈话主要集中在信息上,表明了不同的模式.
结论:
- 网络分析揭示了传统方法无法发现的定性数据的模式.
- 代码网络的密度和连接性与求助者的对话后的希望相关.
- 这种可视化技术可以增强对危机干预动态的解释和理解.
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