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非随机研究中协方差分析与基线变化的对比:差异

ANCOVA Versus CHANGE From Baseline in Nonrandomized Studies: The Difference.

作者信息

van Breukelen Gerard J P

机构信息

a Maastricht University , The Netherlands.

出版信息

Multivariate Behav Res. 2013 Nov;48(6):895-922. doi: 10.1080/00273171.2013.831743.

Abstract

The pretest-posttest control group design can be analyzed with the posttest as dependent variable and the pretest as covariate (ANCOVA) or with the difference between posttest and pretest as dependent variable (CHANGE). These 2 methods can give contradictory results if groups differ at pretest, a phenomenon that is known as Lord's paradox. Literature claims that ANCOVA is preferable if treatment assignment is based on randomization or on the pretest and questionable for preexisting groups. Some literature suggests that Lord's paradox has to do with measurement error in the pretest. This article shows two new things: First, the claims are confirmed by proving the mathematical equivalence of ANCOVA to a repeated measures model without group effect at pretest. Second, correction for measurement error in the pretest is shown to lead back to ANCOVA or to CHANGE, depending on the assumed absence or presence of a true group difference at pretest. These two new theoretical results are illustrated with multilevel (mixed) regression and structural equation modeling of data from two studies.

摘要

前后测控制组设计可以以后测为因变量、前测为协变量进行分析(协方差分析),或者以后测与前测之间的差异为因变量进行分析(变化量分析)。如果各小组在前测时存在差异,这两种方法可能会得出相互矛盾的结果,这种现象被称为洛德悖论。文献称,如果治疗分配基于随机化或前测,协方差分析更可取,而对于已有的小组则存在疑问。一些文献表明,洛德悖论与前测中的测量误差有关。本文展示了两点新内容:第一,通过证明协方差分析与前测时无组效应的重复测量模型在数学上的等价性,证实了上述观点。第二,根据前测时假设不存在或存在真实组间差异,前测测量误差的校正结果会回归到协方差分析或变化量分析。通过对两项研究数据进行多水平(混合)回归和结构方程建模,对这两个新的理论结果进行了说明。

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