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Tools to support interpreting multiple regression in the face of multicollilnearity (open access)

Tools to support interpreting multiple regression in the face of multicollilnearity

This article argues that rather than using one technique to investigate regression results, researchers should consider multiple indices to understand the contributions that predictors make not only to a regression model, but to each other as well.
Date: March 14, 2012
Creator: Kraha, Amanda; Turner, Heather; Nimon, Kim F.; Zientek, Linda Reichwein & Henson, Robin K.
System: The UNT Digital Library