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A type I error investigation of modi...

Zhou, Dora Xinyue.

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A type I error investigation of modified Scheffe-based multiple-comparison procedures in factorial ANOVA, MANOVA, and multiple-regression situations.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	A type I error investigation of modified Scheffe-based multiple-comparison procedures in factorial ANOVA, MANOVA, and multiple-regression situations./
作者:	Zhou, Dora Xinyue.
面頁冊數:	65 p.
附註:	Source: Dissertation Abstracts International, Volume: 65-05, Section: A, page: 1667.
Contained By:	Dissertation Abstracts International65-05A.
標題:	Education, Educational Psychology. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3132281
ISBN:	049679521X

A type I error investigation of modified Scheffe-based multiple-comparison procedures in factorial ANOVA, MANOVA, and multiple-regression situations.
Zhou, Dora Xinyue.

A type I error investigation of modified Scheffe-based multiple-comparison procedures in factorial ANOVA, MANOVA, and multiple-regression situations. - 65 p.

Source: Dissertation Abstracts International, Volume: 65-05, Section: A, page: 1667.

Thesis (Ph.D.)--The University of Arizona, 2004.

The present study extends the previous one-way ANOVA multiple-comparison findings of Meyers and Beretvas (2003) to interaction comparisons in factorial ANOVA designs, one-factor MANOVA comparisons, and tests of partial regression coefficients in multiple regression, in specific regard to the practical utility of modified (sequential) Scheffe-based procedures. Researchers who are concerned with maintaining familywise Type I error rates while increasing statistical power are encouraged to consider these improved multiple-comparison methods.

ISBN: 049679521XSubjects--Topical Terms:

1017560
Education, Educational Psychology.

A type I error investigation of modified Scheffe-based multiple-comparison procedures in factorial ANOVA, MANOVA, and multiple-regression situations.
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520 $a The present study extends the previous one-way ANOVA multiple-comparison findings of Meyers and Beretvas (2003) to interaction comparisons in factorial ANOVA designs, one-factor MANOVA comparisons, and tests of partial regression coefficients in multiple regression, in specific regard to the practical utility of modified (sequential) Scheffe-based procedures. Researchers who are concerned with maintaining familywise Type I error rates while increasing statistical power are encouraged to consider these improved multiple-comparison methods.
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