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Updated: Jun 15, 2025

Using Cholesky Decomposition to Explore Individual Differences in Longitudinal Relations between Reading Skills
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Published on: September 17, 2019

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在计数回归模型中隐性变量之间的相互作用

Christoph Kiefer1, Sarah Wilker2, Axel Mayer3

  • 1Methods and Evaluation, Department of Psychology, Bielefeld University, Universitätsstraße 25, D-33501, Bielefeld, Germany. christoph.kiefer@uni-bielefeld.de.

Behavior research methods
|August 26, 2024
PubMed
概括

研究人员经常忽视计数回归模型中的测量误差,导致结果偏差. 一个新的隐性变量计数回归模型 (LV-CRM) 准确地估计了系数,并改善了统计推理,即使有隐性相互作用.

关键词:
计算结果的数量.潜伏相互作用 潜伏相互作用普森回归是一种回归式.

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