期刊
JOURNAL OF ABNORMAL PSYCHOLOGY
卷 119, 期 2, 页码 307-319出版社
AMER PSYCHOLOGICAL ASSOC
DOI: 10.1037/a0017552
关键词
analysis of covariance; analysis of partial variance; structural equation modeling; bias
Miller and Chapman (2001) argued that 1 major class of misuse of analysis of covariance (ANCOVA) or Os multiple regression counterpart, analysis of partial variance (APV), arises from attempts to use an ANCOVA/APV to answer a research question that is not meaningful in the 1st place. Unfortunately, there is another misuse of ANCOVAs/APVs that arises frequently in psychopathology studies even when addressing consensually meaningful research questions. This misuse arises from inflated Type I error rates: in ANCOVA/APV inferential tests of the unique association of the independent variable with the dependent variable when the covariate and independent variables are correlated and measured with error. Alternatives to conventional ANCOVAs/APVs are discussed, as are steps that can be taken to minimize the impact of this bias on drawing valid inferences when conventional ANCOVAs/APVs are used.
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