从潜在状态特征理论的角度来看,特定水平的可靠性系数
1Department of Psychological Methods and Evaluation, Faculty of Psychology and Sport Science, Bielefeld University, Bielefeld, Germany.
The British journal of mathematical and statistical psychology
|December 27, 2025
概括
多层次潜态特征 (ML-LST) 模型为密集的纵向数据 (ILD) 提供了新的见解. 这项研究澄清了ML-LST模型中主体内和主体间可靠性系数的解释,增强了它们在心理学研究中的应用.
科学领域:
- 心理学研究方法 心理学研究方法
- 量化心理学 量化心理学
- 统计建模 统计建模
背景情况:
- 生态瞬间评估 (EMA) 在心理学研究中越来越多地使用.
- 密集的纵向数据 (ILD) 需要先进的统计模型.
- 基于LST-R理论的多层次潜态特征 (ML-LST) 模型是分析ILD的一个潜在方法.
研究的目的:
- 澄清LST-R理论中的1级 (主体内) 和2级 (主体间) 可靠性系数的解释和识别.
- 扩大对可靠性的理解,超越传统的LST-R系数 (可靠性,一致性,特定场合).
- 为ML-LST模型中新定义的水平特定系数提供理论框架.
主要方法:
- 这项研究讨论了使用多级版本的多状态单曲曲 (MSST),多状态指标特异性特征 (MSIT) 和多状态单曲曲模型与M-1相关方法因子 (MSST-M-1) 的多级别系数的解释.
- 专注于MSST-M-1模型,以定义跨主题系数作为指标非特异性或尺度单维性的措施.
- 突出了特定场合和主题内可靠性之间的区别.
主要成果:
- 在MSST-M-1模型中,主体间系数量化了指标非特异性 (共享的水平间差异) 或尺度单维性.
- 这项研究阐明了学科内可靠性和特定场合的理论含义.
- 多层MSST-M-1模型的性能用经验数据来证明.
结论:
- 澄清了ML-LST模型中对主体内和主体间可靠性的解释,增强了LST-R理论.
- MSST-M-1模型为了解ILD中的项目属性和规模结构提供了一个框架.
- 这些发现支持在使用EMA数据的心理学研究中强有力的应用ML-LST模型.
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