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Bootstrap methods for comparing independent regression slopes
Article first published online: 9 AUG 2011
DOI: 10.1111/j.2044-8317.2011.02024.x
©2011 The British Psychological Society
Issue
British Journal of Mathematical and Statistical Psychology
Volume 65, Issue 2, pages 282–301, May 2012
Additional Information
How to Cite
Ng, M. and Wilcox, R. R. (2012), Bootstrap methods for comparing independent regression slopes. British Journal of Mathematical and Statistical Psychology, 65: 282–301. doi: 10.1111/j.2044-8317.2011.02024.x
Publication History
- Issue published online: 16 APR 2012
- Article first published online: 9 AUG 2011
- Received 2 March 2010; revised version received 5 December 2011
- Abstract
- Article
- References
- Cited By
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.