2015
DOI: 10.1016/j.ssresearch.2015.04.008
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Multicollinearity in hierarchical linear models

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Cited by 153 publications
(83 citation statements)
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“…Lastly, since elevated correlations mainly involved control variables, I performed my data analyses with and without control variables, which did not affect the pattern of my results. Lastly, recent simulation studies showed that multicollinearity does not bias fixed and random parameter estimates in multilevel modelling analyses (Yu, Jiang, & Land, 2015). In conclusion, I am confident that multicollinearity did not adversely affect my study findings.…”
Section: Analytical Strategymentioning
confidence: 63%
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“…Lastly, since elevated correlations mainly involved control variables, I performed my data analyses with and without control variables, which did not affect the pattern of my results. Lastly, recent simulation studies showed that multicollinearity does not bias fixed and random parameter estimates in multilevel modelling analyses (Yu, Jiang, & Land, 2015). In conclusion, I am confident that multicollinearity did not adversely affect my study findings.…”
Section: Analytical Strategymentioning
confidence: 63%
“…Methodologically, upon closer examination of my correlation (Yu et al, 2015), I took several precautions to rule out the possibility of multicollinearity altogether. From a theoretical perspective, I would expect a high correlation between both positive as well as negative affect and creativity (Baas et al, 2008), which provides justification towards the reported association between positive and negative affectivity with general creative process engagement (CPE) as well as general creative performance (CP).…”
Section: Limitations and Directions For Future Researchmentioning
confidence: 99%
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“…It should be noted that multicollinearity is ers), the variables were input into the model as independent variables using the mean-centered method that is one of the recommended method on hierarchical multiple regression to prevent a high degree of multicollinearity 31) . In model 3, to estimate the moderating effect of spiritual well-being 32) were conducted by dividing the total spiritual well-being scores into the following two levels:…”
Section: Discussionmentioning
confidence: 99%