线性和非线性指数的得分准确度和项目有效性,用于包含局部依赖项目的措施
Pere J Ferrando1, David Navarro-González2, Fabia Morales-Vives1
1Research Center for Behavior Assessment, Universitat Rovira i Virgili, Tarragona, Spain.
Educational and psychological measurement
|November 18, 2024
概括
局部项目依赖性 (LIDs) 扭曲了人格指标中的可靠性估计. 本研究引入了一种方法来评估LID对扩展因子分析 (FA) 模型得分的影响,从而提高得分准确度.
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:
- 局部物品依赖 (LID) 在人格和态度尺度中普遍存在,特别是在狭窄的维度上.
- 具有相关余量的扩展因子分析 (FA) 模型可以结构性地解决LIDs,但它们对得分的影响未得到充分研究.
研究的目的:
- 提出和评估一种方法来评估LIDs对从扩展的FA解决方案中得出的分数的准确性和有效性的影响.
- 调查LIDs对可靠性估计和评分信息的影响.
主要方法:
- 开发了一种三级方法 (总得分,双变量-双重,项目删除) 来分析LID的影响.
- 将该方法应用于标准线性和非线性FA模型,用于有序分类数据.
- 实施了R包SINRELEF.LD.LD.中的方法.
- 利用了928名参与者填写家庭参与问卷-高中版本 (FIQ-HS) 的数据.
主要成果:
- 当地依赖性导致当地的独立性被假定时,欧米茄可靠性估计的扭曲.
- 忽视局部依赖导致信息丢失和分数解释效率低下.
- 拟议的方法量化了LIDs对得分准确性的影响.
结论:
- 拟议的方法有效地评估了LIDs对扩展FA模型得分的影响.
- 对LID的计算对于准确的可靠性估计和在心理测量指标中有效的得分利用至关重要.
- SINRELEF.LD R包提供了一个实用的工具,用于对局部依赖关系进行项目分析.
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