Relative Importance of Predictors in Multilevel Modeling
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Published
May 1, 2014
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Yan Liu
Harvard University
Bruno D. Zumbo
University of British Columbia
Amery D. Wu
University of British Columbia
Abstract
The Pratt index is a useful and practical strategy for day-to-day researchers when ordering predictors in a multiple regression analysis. The purposes of this study are to introduce and demonstrate the use of the Pratt index to assess the relative importance of predictors for a random intercept multilevel model.
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