Parametric ANCOVA and the Rank Transform ANCOVA When the Data Are Conditionally Non-Normal and Hetroscedastic.

Olejnik, Stephen F.; Algina, James

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Peer reviewed

ERIC Number: EJ316163

Record Type: Journal

Publication Date: 1984

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Parametric ANCOVA and the Rank Transform ANCOVA When the Data Are Conditionally Non-Normal and Hetroscedastic.

Olejnik, Stephen F.; Algina, James

Journal of Educational Statistics, v9 n2 p129-49 Sum 1984

Using computer simulation, parametric analysis of covariance (ANCOVA) was compared to ANCOVA with data transformed using ranks, in terms of proportion of Type I errors and statistical power. Results indicated that parametric ANCOVA was robust to violations of either normality or homoscedasticity, but practiced significant power differences favored rank ANCOVA procedures. (Author/BW)

Descriptors: Analysis of Covariance, Computer Simulation, Hypothesis Testing, Nonparametric Statistics, Power (Statistics), Statistical Distributions, Statistical Significance

Publication Type: Journal Articles; Reports - Research

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Language: English

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