Model-Dependent Variance Inflation Factor Cutoff Values

By T. Craney, J. Surles. 2002

1,060 citations recorded by the source corpus.

Subfields: Computational Theory and Mathematics, Management Science and Operations Research, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/30ac8f5199d6ab50e9fa66c60a7309eea1a16341

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In Management Science and Operations Research

1. S. Su
2. H. Schoch
3. K. Baird

Citations in the corpus

• The moderating effect of organisational life cycle stages on the association between the interactive and diagnostic approaches to using controls with organisational performance (2015, background): “Table 4 reveals that Variation Inflation Factors (VIFs) for interactive and diagnostic controls were both below the threshold value of 5 (Craney and Surles, 2002; Menard, 1995), indicating an absence of any multicollinearity problems.”
• The influence of line managers and HR department on employees' affective commitment (2011, neutral): “…the variance inflation factor values, indicating potential multicollinearity problems, ranged from 1.02 to 3.96, which is well below the recommended cut-off value of 10 (Hair, Anderson, Tatham and Black 1998), and even below the more stringent cut-off value of 5 (Craney and Surles 2002).”
• VARIANCE INFLATION FACTORS IN REGRESSION MODELS WITH DUMMY VARIABLES (2012, neutral): “Model 1 was also fitted, with VIFs showing no sign of collinearity according to the "5" rule of thumb (Hocking and Pendleton 1983, Craney and Surles 2002).”