Biased parameter estimates and inflated Type I error rates in analysis of covariance (and analysis of partial variance) arising from unreliability: alternatives and remedial strategies.

@article{Zinbarg2010BiasedPE,
  title={Biased parameter estimates and inflated Type I error rates in analysis of covariance (and analysis of partial variance) arising from unreliability: alternatives and remedial strategies.},
  author={Richard E. Zinbarg and Satoru Suzuki and Amanda A Uliaszek and Alison R. Lewis},
  journal={Journal of abnormal psychology},
  year={2010},
  volume={119 2},
  pages={
          307-19
        }
}
Miller and Chapman (2001) argued that 1 major class of misuse of analysis of covariance (ANCOVA) or its 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… CONTINUE READING
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