Comparison of Three Common Experimental Designs to Improve Statistical Power When Data Violate Parametric Assumptions [electronic resource] / Andrew C. Porter and Maryellen McSweeney.

A Monte Carlo technique was used to investigate the small sample goodness of fit and statistical power of several nonparametric tests and their parametric analogues when applied to data which violate parametric assumptions. The motivation was to facilitate choice among three designs, simple random a...

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Bibliographic Details

Online Access:	Full Text (via ERIC)
Main Author:	Porter, Andrew C.
Other Authors:	McSweeney, Maryellen
Format:	Electronic eBook
Language:	English
Published:	[S.l.] : Distributed by ERIC Clearinghouse, 1974.
Subjects:	Analysis of Covariance. Analysis of Variance. Comparative Analysis. Goodness of Fit. Hypothesis Testing. Nonparametric Statistics. Sample Size. Statistical Analysis. Statistical Significance. Statistics.