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Educational and Psychological Measurement
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An Approach to Ancova that Allows Multiple Covariates, Nonlinearity, and Heteroscedasticity

Rand R. Wilcox

University of Southern California

It is known that nonnormality, a heteroscedastic error term, or a nonlinearassociation can create serious practical problems when using the conventional analysis of covariance (ANCOVA) method. This article describes a simple ANCOVA method that allows heteroscedasticity, nonnormality, nonlinearity, and multiple covariates. When standard assumptions are met, all indications are that the power of the proposed method compares very favorably with that of the conventional technique.

Key Words: heteroscedasticity • wild bootstrap • nonlinearity

Educational and Psychological Measurement, Vol. 65, No. 3, 442-450 (2005)
DOI: 10.1177/0013164404268670
Add to CiteULike CiteULike   Add to Connotea Connotea   Add to Del.icio.us Del.icio.us   Add to Digg Digg   Add to Reddit Reddit   Add to Technorati Technorati    What's this?