Using commonality analysis in multiple regressions: a tool to decompose regression effects in the face of multicollinearity

• Published in: Methods in ecology and evolution Vol. 5; no. 4; pp. 320 - 328
• Main Authors: Ray‐Mukherjee, Jayanti, Nimon, Kim, Mukherjee, Shomen, Morris, Douglas W., Slotow, Rob, Hamer, Michelle, Nakagawa, Shinichi
• Format: Journal Article
• Language: English
• Published: London John Wiley & Sons, Inc 01.04.2014
• Subjects: Ecological research; Habitat selection; hierarchical regression; Regression analysis; standardized partial regression coefficient; stepwise regression; structure coefficients; suppressor variable

Summary 1. In the face of natural complexities and multicollinearity, model selection and predictions using multiple regression may be ambiguous and risky. Confounding effects of predictors often cloud researchers’ assessment and interpretation of the single best ‘magic model’. The shortcomings of s...