title: Bootstrap methods for comparing independent regression slopes.
abstract: 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.
authors.affiliation: Faculty of Education, The University of Hong Kong, Hong Kong. marieng@u.washington.edu
authors.forename: Marie
authors.initials: M
authors.lastname: Ng
authors.forename: Rand R
authors.initials: RR
authors.lastname: Wilcox
mesh_terms: D003202:Computers, Analog; D015233:Models, Statistical; D012044:Regression Analysis