Misunderstanding analysis of covariance.
Misunderstanding analysis of covariance.
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DOI：
10.1037/0021-843x.110.1.40
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发表时间：
2001-02
影响因子：
4.6
通讯作者：
G. A. Miller;J. Chapman
中科院分区：
文献类型：
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作者：
G. A. Miller;J. Chapman
尽管在许多场所进行了大量的技术处理，但协方差分析（ANCOVA）仍然是一种被广泛滥用的方法，用于处理潜在协变量的实质性群体差异，特别是在精神病理学研究中。已发表的文章得出了毫无根据的结论，而一些统计文本则忽视了这个问题。回顾了此类情况下 ANCOVA 的问题。在许多情况下，没有办法实现“纠正”或“控制”潜在协变量的真实群体差异这一表面上吸引人的目标。为了减少 ANCOVA 的滥用并促进适当使用，提供了非技术性讨论，强调教科书和其他一般演示中很少阐述的实质性混淆，以补充现有的数学批评。针对 ANCOVA 不合适或有问题的情况讨论了一些替代方案。
Despite numerous technical treatments in many venues, analysis of covariance (ANCOVA) remains a widely misused approach to dealing with substantive group differences on potential covariates, particularly in psychopathology research. Published articles reach unfounded conclusions, and some statistics texts neglect the issue. The problem with ANCOVA in such cases is reviewed. In many cases, there is no means of achieving the superficially appealing goal of "correcting" or "controlling for" real group differences on a potential covariate. In hopes of curtailing misuse of ANCOVA and promoting appropriate use, a nontechnical discussion is provided, emphasizing a substantive confound rarely articulated in textbooks and other general presentations, to complement the mathematical critiques already available. Some alternatives are discussed for contexts in which ANCOVA is inappropriate or questionable.