节的项目响应理论建模与负日志链接:转折点转移的作用
Hyejin Shim1, Wes Bonifay2,3, Wolfgang Wiedermann4,5
1Laureate Institute for Brain Research, Tulsa, OK, USA.
在物品响应理论 (IRT) 中,负日志模型 (NLLM) 提供了一种温和的方法来理解响应模式. 这个模型有效地解释了"滑动"效应的拐点低于0.50,简化了分析.
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
- 统计建模 统计建模
背景情况:
- 项目响应理论 (IRT) 模型通常使用异位参数来定义响应特征.
- 拐点,通常在P=0.50左右,表示最大差别的点.
- 非对称模型因其捕捉独特物品属性的能力而受到关注.
研究的目的:
- 检查一参数负日志模型 (NLLM) 的统计基础和心理测量特性.
- 调查NLLM解决问题的能力.
- 滑落 滑落 滑落 滑落 滑落
- 在测试数据中产生影响.
- 评估NLLM对非对称IRT模型的文献的贡献.
主要方法:
- 负日志模型 (NLLM) 的详细统计推导.
- 进行模拟研究以评估项目和人参数估计的准确性.
- 分析经验数据以验证模拟结果.
主要成果:
- NLLM 显示了其心理测量特征的倾斜点向下移动.
- 模拟研究证实了NLLM的准确参数估计.
- NLLM有效地模拟了"滑动"效应,通过拐点<0.50,避免了复杂的上边对称估计.
结论:
- 负日志模型 (NLLM) 为模拟响应数据提供了一个节且有效的替代方案,特别是在存在"滑动"效应时.
- 该NLLM的独特的心理测量特性,包括其转移的拐点,提供了对物品行为有价值的见解.
- 该模型增强了对不对称IRT应用的方法理解.
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