The Effect of Multicollinearity on Multilevel Modeling Parameter Estimates and Standard Errors

By Yann-Yann Shieh, Rachel T. Fouladi. 2003

146 citations recorded by the source corpus.

Subfields: Management Science and Operations Research, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/f5be326ce6edd64474989db93d17ca83008492dd

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Management Science and Operations Research

1. A. Lorenzo-Arribas
2. Stephen R. Porter
3. M. Marselle
4. K. Irvine
5. S. Warber

In Statistics and Probability

1. A. Lorenzo-Arribas
2. Stephen R. Porter
3. M. Marselle
4. K. Irvine
5. S. Warber

Citations in the corpus

• Does perceived restorativeness mediate the effects of perceived biodiversity and perceived naturalness on emotional well-being following group walks in nature? (2016, methodology): “Multicollinearity for the predictor variables was assessed following Shieh and Fouladi (2003); no variables demonstrated multicollinearity.”
• INSTITUTIONAL STRUCTURES AND STUDENT ENGAGEMENT (2006, background): “Generally researchers adopt this approach when the correlated variables are statistically significant; recall that with multicollinearity, fixed coefficient estimates are unbiased but variances are inflated (Kennedy, 2003; Shieh and Fouladi, 2003 ).”