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Updated: May 9, 2025

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在密集的纵向数据中不小心响应检测测量的测量不变违规性的会计:探索性与探索性. 部分受约束的潜在马尔科夫因子分析

Leonie V D E Vogelsmeier1, Joran Jongerling1, Esther Ulitzsch2,3

  • 1Department of Methodology and Statistics, Tilburg University, Tilburg, Netherlands.

Multivariate behavioral research
|May 6, 2025
PubMed
概括

在密集的纵向数据 (ILD) 中,可以使用灵活的潜在马尔科夫因子分析 (LMFA) 模型检测不小心的响应. 完全探索性的LMFA有效地识别了不小心的反应,即使有测量不变违规行为.

关键词:
不小心的回应不小心的回应.生态瞬间评估 环境瞬间评估强烈的纵向数据密集.潜在的马尔科夫建模.混合物建模混合物建模这是一个三步式的方法.时间序列时间序列

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