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

Oleh:

Wilcox, Rand R.

Jenis: Article from Journal - ilmiah internasional
Dalam koleksi: Educational and Psychological Measurement vol. 65 no. 03 (Jun. 2005), page 442-450.
Topik: heteroscedasticity; wild bootstrap; nonlinearity
Fulltext: 442.pdf (81.89KB)

Isi artikel

(PKPM) It is known that nonnormality, a heteroscedastic error term, or a nonlinear association 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.

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