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护理研究中的形成与反射测量模型:韩国一项横截面研究的二次数据分析
Eun Seo Park1, Young Il Cho1, Hyo Jin Kim2
1College of Police and Criminal Justice, Dongguk University, Seoul, Korea.
Journal of Korean Academy of Nursing
|February 27, 2025
概括
针对儿童问题的儿科症状检查清单 (PSC) 最好使用具有部分最小平方 SEM (PLS-SEM) 的形成性测量模型进行分析,而不是使用基于共变性 SEM (CB-SEM) 的反射模型. 这确保了准确的研究成果.
科学领域:
- 心理测量 心理测量 心理测量
- 儿童心理学 儿童心理学
- 护理研究 护理研究
背景情况:
- 测量模型的选择显著影响研究结果和解释.
- 儿科症状检查清单 (PSC) 是评估儿童情绪和社会问题的常见工具.
- 了解合适的测量模型 (反射与形成) 对于有效的构造分析至关重要.
研究的目的:
- 用PSC实验验证测量模型选择对研究成果的影响.
- 为了比较反射和形成性测量模型对分析儿童的情感和社会问题的适用性.
- 为了确定PSC数据的最合适的统计方法 (CB-SEM与PLS-SEM).
主要方法:
- 使用PSC对儿童情绪和社会问题的二次数据分析.
- 通过基于共差的SEM (CB-SEM) 分析的反射测量模型的比较.
- 通过部分最小平方 SEM (PLS-SEM) 评估的形成性测量模型的比较.
主要成果:
- 使用反射模型的CB-SEM分析由于适合性指数不佳和海伍德案例失败,表明规格不当.
- 使用形成模型进行的PLS-SEM分析显示出足够的可靠性和有效性.
- 在PLS-SEM分析中显著的路径系数支持了PSC的形成模型的适当性.
结论:
- 使用PLS-SEM,PSC更恰当地被分析为一个形成构造.
- 在护理研究中,根据构造特征选择正确的测量模型至关重要.
- 精确的统计模型选择提高了关于儿童健康结果的研究结果的有效性.
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