协调测量:通过跨仪器的共享项目建立一个共同的指标
Iris Eekhout1, Ann M Weber2, Stef van Buuren3,4
1Department Child Health, Netherlands Organization for Applied Scientific Research TNO, Sylviusweg 71, Leiden, the Netherlands. iris.eekhout@tno.nl.
Population health metrics
|November 8, 2024
概括
这项研究引入了一种新的方法,可以从多种不同的评估工具中创建一个共同的指标,从而实现跨人群的标准化比较. 这种方法将测量转化为标准单位,促进全球数据分析.
科学领域:
- 心理测量 心理测量 心理测量
- 发展心理学 发展心理学
- 数据科学数据科学数据科学
背景情况:
- 特定于仪器的指标阻碍了跨人口的比较.
- 提出了一种新的方法,从不同的评估工具中提取一个共同的指标.
- 这便于将原始测量转化为标准单位的得分.
研究的目的:
- 开发和验证一种方法,在不同评估工具之间创建一个共同的指标.
- 为了实现标准化的评分和人口层面的比较.
- 解决研究中仪器特定指标的挑战.
主要方法:
- 利用了来自三个儿童样本的四种儿童发展评估仪器的现有数据.
- 开发了以不同的方式测量类似行为的项目"等级集群".
- 采用概率模型和项目特征曲线来识别点和心理测量等效集群.
主要成果:
- 模拟证实了从各种仪器和受访者能力中生成一个共同指标的可行性.
- 该方法在早期儿童发展评估中得到了成功应用.
- 同等集群有效地将不同工具联系在一起.
结论:
- 均等集群为建立共同的指标提供了一个直观而灵活的方法.
- 这种标准化允许在全球范围内进行人口水平的比较.
- 该方法将测量结果转换为标准化尺度,提高数据可比性.
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