在非人类个性研究中,评分器间可靠性的状态和预期
1Neuroscience and Behavior Unit, California National Primate Research Center, University of California, Davis.
Journal of comparative psychology (Washington, D.C. : 1983)
|February 12, 2026
概括
在非人类灵长类人格评估中,观察者间的可靠性是复杂的. 类内相关系数 (ICC) 可能会误导;理解数据属性对于准确的可靠性解释至关重要.
科学领域:
- 行为科学 行为科学
- 心理测量 心理测量 心理测量
- 灵长类动物学 灵长类动物学
背景情况:
- 观察者之间的可靠性对于一致的人格评级至关重要.
- 类内相关系数 (ICC) 是常见的,但可以受到数据质量的影响,而不仅仅是评级者协议.
- 高的ICC并不能自动保证有效性.
研究的目的:
- 评估对非人类灵长类人格研究中的ICC估计的预期.
- 调查数据属性对ICC可靠性指标的影响.
- 提供基于数据的建议,用于解释该领域的可靠性.
主要方法:
- 从34个非人类灵长类人格研究中得出的估计.
- 贝叶斯元分析以估计中心趋势和可变性.
- 模拟使用典型的利克特评分属性进行非人类评估.
主要成果:
- 分析给出了ICC的后期估计为0.31,具有显著的项目变化.
- ICCs中的变化与潜在的特征,维度和分类学区别相关.
- 模拟突出显示,ICC的解释是复杂的,并取决于诸如评级者/受试者数量和分数分布等因素.
结论:
- 与预期的受试者变化和人类个体差异相比,非人类灵长类的ICC估计值是合理的.
- 在不考虑特定数据属性的情况下,ICCs的门截止值是不可靠的.
- 提供了基于数据特征的解释可靠性的建议.
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