Controlling Error in Multiple Comparisons, with Examples from State-to-State Differences in Educational Achievement

Illustrates and compares three alternative procedures to adjust significance levels for multiplicity: (1) the traditional Bonferroni technique; (2) a sequential Bonferroni technique; and (3) a sequential approach to control the false discovery rate proposed by Y. Benjamini and Y. Hochberg (1995). Ex...

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Bibliographic Details
Published inJournal of educational and behavioral statistics Vol. 24; no. 1; p. 42
Main Authors Williams, Valerie S. L, Jones, Lyle V, Tukey, John W
Format Journal Article
LanguageEnglish
Published 1999
Subjects
Academic Achievement
Bonferroni Procedure
Comparative Analysis
Error of Measurement
Multiple Comparisons
Statistical Significance
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Summary:Illustrates and compares three alternative procedures to adjust significance levels for multiplicity: (1) the traditional Bonferroni technique; (2) a sequential Bonferroni technique; and (3) a sequential approach to control the false discovery rate proposed by Y. Benjamini and Y. Hochberg (1995). Explains advantages of the Benjamini and Hochberg procedure. (SLD)
ISSN:1076-9986
DOI:10.2307/1165261