Many tests of significance: new methods for controlling type I errors

There have been many discussions of how Type I errors should be controlled when many hypotheses are tested (e.g., all possible comparisons of means, correlations, proportions, the coefficients in hierarchical models, etc.). By and large, researchers have adopted familywise (FWER) control, though thi...

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Bibliographische Detailangaben

Veröffentlicht in:	Psychological methods Jg. 16; H. 4; S. 420
Hauptverfasser:	Keselman, H J, Miller, Charles W, Holland, Burt
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	United States 01.12.2011
Schlagworte:	Models, Statistical Psychology - statistics & numerical data Research Design - statistics & numerical data Statistics as Topic - methods
ISSN:	1939-1463, 1939-1463
Online-Zugang:	Weitere Angaben
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