什么影响得分转换的质量? 使用部分信贷模型的真实得分等同的潜在问题
Carolina Fellinghauer1, Rudolf Debelak1, Carolin Strobl1
1University of Zurich, Switzerland.
Educational and psychological measurement
|November 16, 2023
概括
由于结构相似性较低,尺度等同精度降低. 良好的准提高了精度,特别是当尺度不同时,难度变化的影响最小. 更长的尺度和更大的样本大小提供有限的好处.
科学领域:
- 心理测量 心理测量 心理测量
- 教育测量教育的测量
- 卫生研究方法论 卫生研究方法论
背景情况:
- 在不同评估中比较分数时,尺度等级至关重要.
- 与部分信用模型同时校准是一种常见的等级方法.
- 了解影响得分转换精度的因素对于可靠的测量至关重要.
研究的目的:
- 为了研究如何构建相似性和规模准影响得分转换精度.
- 为了评估项目难度差异在规模等级上的影响.
- 为与健康相关的研究中规模等同提供实用见解.
主要方法:
- 使用普通人的设计,模拟了两个尺度的数据.
- 多样化的构造相似性 (因子相关性),项目难度和参数分散.
- 采用与部分信贷模型同时进行校准.
- 将真分数等同与身份等同进行比较.
主要成果:
- 低构造相似性显著降低了得分转换精度.
- 良好的尺度定位提高了精度,特别是在相似度下降的情况下.
- 难度转移高达两个logit对转换精度的影响最小.
- 更大的样本大小和更长的尺度产生了精度的边际改进.
结论:
- 构建相似性和规模准是评分转换精度的关键决定因素.
- 真正分数等分表现出对中等难度转移的稳定性.
- 这些发现为优化健康研究中的规模等级程序提供了指导.
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