关于响应的潜在结构和响应时间从多维人格测量与普通评分尺度的响应时间
1Department of Psychology, Yonsei University, Seoul, Republic of Korea.
Multivariate behavioral research
|December 24, 2024
概括
这项研究引入了人格评估的新模型,分析了答案和响应时间 (RT). 最好的模型使用单一的速度因子,并考虑最小的RT转移,提高人格测量的准确性.
科学领域:
- 心理测量 心理测量 心理测量
- 认知心理学 认知心理学
- 人格科学 人格科学 人格科学
背景情况:
- 传统的人格评估主要使用响应数据.
- 响应时间 (RTs) 提供额外的行为信息.
- 将RT纳入人格模型是复杂的.
研究的目的:
- 开发和比较潜在变量模型,共同分析人格反应和RTs.
- 调查RT分布的潜在结构,特别是决策和非决策时间.
- 要确定一个单维或多维的速度因子是否最能解释RT变化.
主要方法:
- 拟议的新型隐性变量模型包含响应和RT数据.
- 利用四个数据集的模型比较来评估模型的合适性.
- 纳入RT分布中的不可减小的最小转移,以模拟决策和非决策时间.
- 进行模拟研究以验证参数恢复.
主要成果:
- 一个具有RT轮班个体参数和一维速度因子的联合模型证明了优越的适应性.
- 随后的预测检查证实了这些发现的可靠性.
- 没有考虑最小的RT转移引入了系统偏差和低估的响应-RT关系.
结论:
- 响应和RT的联合建模提供了对人格的更全面的理解.
- 在这种情况下,一个单维的速度因子充分捕捉了RT变化.
- 考虑不可减小的最小RT转换对于准确的个性测量和避免偏见至关重要.
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