Bootstrap methods for comparing independent regression slopes

被引：1
|
作者：
Ng, Marie [1 ]
Wilcox, Rand R. [2 ]
机构：
[1] Univ Hong Kong, Fac Educ, Hong Kong, Hong Kong, Peoples R China
[2] Univ So Calif, Dept Psychol, Los Angeles, CA 90089 USA
来源：
BRITISH JOURNAL OF MATHEMATICAL & STATISTICAL PSYCHOLOGY | 2012年 / 65卷 / 02期
关键词：
MODERATED MULTIPLE-REGRESSION; CATEGORICAL VARIABLES; HETEROSKEDASTICITY; ERROR; VARIANCE; ESTIMATORS; INFERENCE; POWER;
D O I：
10.1111/j.2044-8317.2011.02024.x
中图分类号：
O1 [数学];
学科分类号：
0701 ; 070101 ;
摘要：
In this study, we explore the effects of non-normality and heteroscedasticity when testing the hypothesis that the regression lines associated with multiple independent groups have the same slopes. The conventional approach involving the F-test and the t-test (F/t approach) is examined. In addition, we introduce two robust methods which allow simultaneous testing of regression slopes. Our results suggest that the F/t approach is extremely sensitive to violations of assumptions and tends to yield misleading conclusions. The new robust alternatives are recommended for general use.
引用
收藏
页码：282 / 301
页数：20
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