Abstract In order to show the effect of treatment, the change between two repeated psychometric measurements at the individual level should be estimated. The simplest method is to calculate the absolute difference between two measurements. However, measurements obtained in a clinical setting are often influenced by other changes not related to the treatment. One of the typical sources of error is regression to the mean (RTM). Iachina and Bilenberg (2012) propose a new method to adjust to the RTM effect. In this work, we will evaluate the performance of absolute difference method and adjusted method in a simulation study.

中文翻译：

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用于确定诊断为多动症儿童的治疗效果的两种方法的基于模拟的比较

摘要 为了显示治疗效果，应估计个体水平上两次重复心理测量之间的变化。最简单的方法是计算两次测量之间的绝对差。然而，在临床环境中获得的测量值通常会受到与治疗无关的其他变化的影响。误差的典型来源之一是回归均值 (RTM)。Iachina 和 Bilenberg (2012) 提出了一种适应 RTM 效应的新方法。在这项工作中，我们将在模拟研究中评估绝对差分法和调整法的性能。