Constructing Confidence Intervals for Effect Sizes in ANOVA Designs

被引：2
|
作者：
Chen, Li-Ting [1 ]
Peng, Chao-Ying Joanne [2 ]
机构：
[1] Indiana Univ, Inquiry Methodol, Bloomington, IN 47405 USA
[2] Indiana Univ, Dept Counseling & Educ Psychol, Bloomington, IN 47405 USA
来源：
JOURNAL OF MODERN APPLIED STATISTICAL METHODS | 2013年 / 12卷 / 02期
关键词：
Confidence interval; linear contrast; effect size; bootstrap; noncentral;
D O I：
10.22237/jmasm/1383278640
中图分类号：
O21 [概率论与数理统计]; C8 [统计学];
学科分类号：
020208 ; 070103 ; 0714 ;
摘要：
A confidence interval for effect sizes provides a range of plausible population effect sizes (ES) that are consistent with data. This article defines an ES as a standardized linear contrast of means. The noncentral method, Bonett's method, and the bias-corrected and accelerated bootstrap method are illustrated for constructing the confidence interval for such an effect size. Results obtained from the three methods are discussed and interpretations of results are offered.
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页码：82 / 104
页数：23
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