Advanced Search

Journal Navigation

Journal Home

Subscriptions

Archive

Contact Us

Table of Contents

CiteULike is a free service for managing and discovering scholarly references - click here to get started.

Sign In to gain access to subscriptions and/or personal tools.
Evaluation Review
This Article
Right arrow Full Text (PDF)
Right arrow References
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Alert me to new issues of the journal
Right arrow Add to Saved Citations
Right arrow Download to citation manager
Right arrowRequest Permissions
Right arrow Request Reprints
Right arrow Add to My Marked Citations
Citing Articles
Right arrow Citing Articles via HighWire
Right arrow Citing Articles via Google Scholar
Right arrow Citing Articles via Scopus
Google Scholar
Right arrow Articles by Rasmussen, J. L.
Right arrow Search for Related Content
PubMed
Right arrow Articles by Rasmussen, J. L.
Social Bookmarking
Add to CiteULike   Add to Complore   Add to Connotea   Add to Del.icio.us   Add to Digg   Add to Reddit   Add to Technorati   Add to Twitter  
What's this?

Other

The Power of Student's t and Wilcoxon W Statistics

A Comparison

Jeffrey Lee Rasmussen

Indiana University-Purdue University at Indianapolis

A previous study indicated that the Wilcoxon W test showed a power advantage over the student's t-test when they were calculated on samples drawn from a common mixed-normal distribution. The present study investigates the effect of correcting for outliers in the mixed-normal samples. The results indicate that the t-test corrected for outliers shows a superior power curve to the Wilcoxon W.

Evaluation Review, Vol. 9, No. 4, 505-510 (1985)
DOI: 10.1177/0193841X8500900407
Add to CiteULike CiteULike   Add to Complore Complore   Add to Connotea Connotea   Add to Del.icio.us Del.icio.us   Add to Digg Digg   Add to Reddit Reddit   Add to Technorati Technorati   Add to Twitter Twitter    What's this?


This article has been cited by other articles:


Home page
 REVIEW OF EDUCATIONAL RESEARCHHome page
L. M. Lix, J. C. Keselman, and H. J. Keselman
Consequences of Assumption Violations Revisited: A Quantitative Review of Alternatives to the One-Way Analysis of Variance F Test
Review of Educational Research, January 1, 1996; 66(4): 579 - 619.
[Abstract] [PDF]

Home page
 JOURNAL OF EDUCATIONAL AND BEHAVIORAL STATISTICSHome page
M. R. Harwell, E. N. Rubinstein, W. S. Hayes, and C. C. Olds
Summarizing Monte Carlo Results in Methodological Research: The One- and Two-Factor Fixed Effects ANOVA Cases
Journal of Educational and Behavioral Statistics, January 1, 1992; 17(4): 315 - 339.
[Abstract] [PDF]

Home page
 Educational and Psychological MeasurementHome page
J. L. Rasmussen and W. P. Dunlap
Dealing with Nonnormal Data: Parametric Analysis of Transformed Data vs Nonparametric Analysis
Educational and Psychological Measurement, December 1, 1991; 51(4): 809 - 820.
[Abstract]

Home page
 REVIEW OF EDUCATIONAL RESEARCHHome page
S. S. Sawilowsky
Nonparametric Tests of Interaction in Experimental Design
Review of Educational Research, January 1, 1990; 60(1): 91 - 126.
[Abstract] [PDF]