Heterogeneity of Error Variance and the Assessment of Moderating Effects of Categorical Variables: A Conceptual Review

被引:44
作者
Aguinis, Herman [1 ]
Pierce, Charles A. [2 ]
机构
[1] Univ Colorado, Coll Business & Adm, Denver, CO 80217 USA
[2] Montana State Univ, Bozeman, MT USA
关键词
D O I
10.1177/109442819813002
中图分类号
B849 [应用心理学];
学科分类号
040203 ;
摘要
Homogeneity of within-subgroup error (residual) variance is a necessary statistical assumption for the appropriate use of moderated multiple regression (MMR) for assessing the effects of categorical moderator variables (e.g., ethnicity, gender). We provide a conceptual review of the homogeneity of error variance assumption in the context of MMR analyses. First, we clarify issues pertaining to the violation of the homogeneity of error variance assumption and differentiate it from the homoscedasticity assumption. Second, we delineate the implications of violating the homogeneity of error variance assumption for organizational theory and practice. Finally, we critically review solutions recently proposed to mitigate the detrimental effects of violating the homogeneity of error variance assumption on conclusions regarding the effects of categorical moderator variables.
引用
收藏
页码:296 / 314
页数:19
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