一个多维的连续响应模型用于测量单极特征
Pere J Ferrando1, Fabia Morales-Vives1, José M Casas1
1Psychology Department, Universitat Rovira i Virgili, Tarragona, Spain.
Applied psychological measurement
|July 21, 2025
概括
本研究引入了一个新的多维逻辑逻辑物件响应理论 (IRT) 模型,用于单极结构. 该模型增强了在临床和法医评估中对连续响应数据的分析.
科学领域:
- 心理测量 心理测量 心理测量
- 项目响应理论 (IRT)
背景情况:
- 单极构造在各种非认知评估中普遍存在,包括临床,法医和症状检查清单.
- 对于单极结构的现有物件响应理论 (IRT) 模型,如Log-Logistic模型,仅限于一维结构.
研究的目的:
- 为测量单极构造的双边连续响应项提出一种新的多维逻辑物质响应理论 (IRT) 模型.
- 解决当前单维IRT模型在分析复杂,多维单极测量的局限性.
主要方法:
- 开发一个适合连续响应数据的多维逻辑物流IRT模型.
- 引入多维项目位置和歧视指数.
- 采用R.软件实施模型拟合,受访者评分和准确性评估程序.
主要成果:
- 拟议的模型展示了简单性和有用性质,可以通过线性化转换来适应.
- 经验验证使用371名学生的简要症状清单和罗森伯格自尊度量表的数据进行验证.
- 该模型有效地解释单极变量,提高特征估计的条件可靠性和外部有效性.
结论:
- 新的多维逻辑逻辑IRT模型为分析单极结构在多维环境中提供了有价值的工具.
- 该模型提高了心理和行为评估中特征估计的准确性和可解释性.
- R的实施确保了心理测量和相关领域的研究人员的实际应用和可访问性.
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