Misunderstanding analysis of covariance.
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.
Department of Psychology, University of Illinois, 603 East Daniel Street, Champaign, Illinois 61820, USA. gamiller@uiuc.edu
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Miller
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Chapman
D000704:Analysis of Variance; D016022:Case-Control Studies; D003627:Data Interpretation, Statistical; D006801:Humans; D015999:Multivariate Analysis; D011594:Psychometrics / Q000379:methods*; D012565:Schizophrenic Psychology