将多变量通用性理论应用于心理评估
Walter P Vispoel1, Hyeryung Lee1, Hyeri Hong2
1Department of Psychological and Quantitative Foundations, University of Iowa.
Psychological methods
|September 7, 2023
概括
多变量通用性理论 (GT) 为评估测量误差和改善心理学研究中的得分一致性提供了一个强大的方法. 本教程简化了多变量GT,展示了它对单变量方法的优势,以提高可靠性.
科学领域:
- 心理测量 心理测量 心理测量
- 量化心理学 量化心理学
- 测量理论 测量理论
背景情况:
- 多变量通用性理论 (GT) 为分析得分一致性和测量误差提供了一个复杂的框架.
- 尽管具有实用性,但与更简单的单变量方法相比,多变量GT在心理学研究中未得到充分利用.
- 现有的研究通常采用单变量GT,它是更全面的多变量方法的子集.
研究的目的:
- 揭示和说明多变量GT在心理测量中的应用.
- 为了证明多变量GT如何扩展和补充传统的单变量GT程序.
- 为各种评估类型应用多变量GT提供实际指导.
主要方法:
- 对单变量GT设计的审查,展示它们与多变量框架的整合.
- 从客观得分的措施来看,专注于子尺度和复合分数的实证例子.
- 多变量GT指数与基于GT的替代程序和软件包 (mGENOVA,R包) 的比较.
主要成果:
- 多变量GT提供了更完整的错误来源分离和评分可靠性的评估.
- 该教程为客观和主观评估实施多变量GT提供了明确的途径.
- 对比分析强调了不同分析软件的结果的一致性.
结论:
- 多变量GT是一个强大的,但未被充分利用的工具,用于提高心理测量的质量.
- 本教程作为一个实用指南,鼓励更广泛地采用多变量GT方法.
- 实施多变量GT可以导致更准确,更可靠地测量心理构造.
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