基于物品响应理论的连续测试规范
Hannah M Heister1, Casper J Albers1, Marie Wiberg2
1Department Psychometrics and Statistics, University of Groningen.
Psychological methods
|October 15, 2024
概括
一种新的方法,2PL-norm,模拟了心理测试规范的项目响应,比原始分数方法更准确. 它提供了卓越的可信区间覆盖,但在分数分布的极端端可能不那么精确.
科学领域:
- 心理测量 心理测量 心理测量
- 心理测量 心理测量
- 统计建模 统计建模
背景情况:
- 标准参考心理测试依赖于对参考人群的标准化得分.
- 当前的连续规范化方法使用原始测试分数,忽视单个项目响应数据.
- 取决于年龄的规范要求准确地将原始分数转换为标准化分数.
研究的目的:
- 引入一个新的贝叶斯物件响应理论模型,2PL-norm,用于心理测试中的持续规范.
- 将2PL标准的准确性和覆盖范围与已建立的基于原始分数的规范方法 (cNORM,GAMLSS) 进行比较.
- 为选择基于模型假设和分析目标的适当规范方法提供实际指导.
主要方法:
- 开发了一种贝叶斯式两参数逻辑 (2PL) 项目响应理论模型 (2PL-norm),其中包含了年龄依赖的潜在特征分布.
- 模拟的单个项目得分,而不是总的原始得分.
- 从估计的隐性特征得分和年龄依赖的分布参数中得出的规范.
主要成果:
- 在模拟中,2PL-norm与cNORM和GAMLSS相比显示出更高的精度和可靠的间隔覆盖.
- 基于原始分数的方法,特别是GAMLSS,在标准的极端尾部表现更好.
- 经验数据分析证实了2PL-norm,cNORM和GAMLSS的实际应用和比较.
结论:
- 2PL-norm提供了一种更准确,更可靠的方法来规范心理测试,当它的假设得到满足时.
- 对于cNORM来说,GAMLSS是一个可取的替代方案,并且可能更适合于专注于极端得分估计的分析.
- 该研究提供了实施2PL标准的代码,以促进其在经验实践中的采用.
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