Interaction Effects: Centering, Variance Inflation Factor, and Interpretation Issues
By C. Robinson, Randall Schumacker. 2009
358 citations recorded by the source corpus.
View Paper: https://www.semanticscholar.org/paper/a4272d638797f11e2f8707cbc3ff109b5b9e0dde
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Citations in the corpus
- Professional Role Confidence and Gendered Persistence in Engineering (2011, background): “In this literature, confidence-related concepts such as self-esteem (here, more similar to specific self-esteem than global self-esteem [Rosenberg et al. 1995]) are often decomposed into competence and worth dimensions (Cast and Burke 2002).”
- Race/Ethnicity and Early Mathematics Skills: Relations Between Home, Classroom, and Mathematics Achievement (2015, background): “Another reason why models with interaction effects may negatively impact the validity of the estimates is that interaction terms are not linear, and therefore violate one of the key assumptions of ordinary least squares regression (Jaccard, Wan, & Turrisi, 1990; Robinson & Schumacker, 2009).”
- Tests of Moderation Effects: Difference in Simple Slopes versus the Interaction Term (2013, unknown): “The beta of the interaction term and the difference between the simple slopes are mathematically identical and; therefore, also identical in the Robinson and Schumacker (2009) dataset (-.013) and the Aiken (http://www.public.asu.edu/~atlsa/PSY531/) dataset (1.859).”
- Electricity Consumption, Carbon Emissions and Economic Growth in Nigeria (2012, background): “The general rule is that the VIF should not exceed 10 (see Belsley, Kuh and Welsch, 1980; Robinson and Schumacker, 2009).”