单例数据两级层次线性建模中的失衡:蒙特卡罗模拟研究

Mariola Moeyaert, Panpan Yang, Yukang Xue, Yaosheng Lou
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引用次数: 0

摘要

层次线性建模(HLM)是一种很有前途的方法,可用于解释单例实验设计(SCED)研究中参与者之间干预效果的差异。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Imbalances in Two-Level Hierarchical Linear Modeling of Single-Case Data: A Monte Carlo Simulation Study
Hierarchical linear modeling (HLM) is a promising approach that can be applied to explain variability in intervention effectiveness between participants in single-case experimental design (SCED) re...
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