Original paper

Relative Importance Analysis: A Useful Supplement to Regression Analysis

Volume: 26, Issue: 1, Pages: 1 - 9
Published: Jan 7, 2011
Abstract
This article advocates for the wider use of relative importance indices as a supplement to multiple regression analyses. The goal of such analyses is to partition explained variance among multiple predictors to better understand the role played by each predictor in a regression equation. Unfortunately, when predictors are correlated, typically relied upon metrics are flawed indicators of variable importance. To that end, we highlight the key...
Paper Details
Title
Relative Importance Analysis: A Useful Supplement to Regression Analysis
Published Date
Jan 7, 2011
Volume
26
Issue
1
Pages
1 - 9
Citation AnalysisPro
  • Scinapse’s Top 10 Citation Journals & Affiliations graph reveals the quality and authenticity of citations received by a paper.
  • Discover whether citations have been inflated due to self-citations, or if citations include institutional bias.