The Distribution of the Test Statistic Used in the Newman-Keuls Multiple Comparison Technique [electronic resource] / James E. Carlson and Others.

Researchers often use the analysis of variance to test hypotheses about the means, followed by a multiple comparison technique when the F-test is significant. The technique is this study was developed by Newman (1939) and Keuls (1952). A flaw in the rationale underlying this technique was evaluated...

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Bibliographic Details
Online Access: Full Text (via ERIC)
Main Author: Carlson, James E.
Format: Electronic eBook
Language:English
Published: [S.l.] : Distributed by ERIC Clearinghouse, 1975.
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Summary:Researchers often use the analysis of variance to test hypotheses about the means, followed by a multiple comparison technique when the F-test is significant. The technique is this study was developed by Newman (1939) and Keuls (1952). A flaw in the rationale underlying this technique was evaluated to determine whether the flaw is sufficiently serious to advise against the use of the Newman-Keuls method. A monte carlo study of the sampling distribution of the test statistic used in the Newman-Keuls method was carried out and implications are discussed. (Author)
Item Description:ERIC Document Number: ED109185.
ERIC Note: Paper presented at the Annual Meeting of the American Educational Research Association (Washington, D. C., March 30-April 3, 1975).
Physical Description:28 p.