This article provides a reanalysis of J. W. Johnson's (2000) "relative weights" method for assessing variable importance in multiple regression. The primary conclusion of the reanalysis is that the derivation of the method is theoretically flawed and has no more validity than the discredited method of Green, Carroll, and DeSarbo (1978) on which it is based. By means of 2 examples, supplemented by other results from the literature, it is also shown that the method can result in materially distorted inferences when it is compared with another widely used importance metric, namely, general dominance (Azen & Budescu, 2003; Budescu, 1993). Our primary recommendation is that J. W. Johnson's (2000) relative weights method should no longer be used ...
Determining the importance of independent variables is of practical relevance to ecologists and mana...
The five articles in this special issue of Organizational Research Methods focus on various measures...
A host of recent research has used reweighting methods to analyze the extent to which observable cha...
In a recent paper Gromping provided a wide-ranging review of metrics for assessing variable importan...
11 pagesInternational audienceIn a previous article, we advocated against using the sum of Akaike we...
Family researchers are often interested in the importance of variables to be included in the predict...
Galipaud M, Gillingham MAF, Dechaume-Moncharmont F-X. A farewell to the sum of Akaike weights: The b...
This study examines the performance of eight methods of predictor importance under varied correlatio...
Multiple regression (MR) analyses are commonly employed in social science fields. It is also common ...
University of Minnesota Ph.D. dissertation. January 2018. Major: Psychology. Advisor: Deniz Ones. 1 ...
This article reports the results of a Monte Carlo simulation comparing four differ-ent indices of re...
One of the most difficult tasks facing industrial-organizational psycholo-gists is evaluating the im...
Relative importance is a topic that has seen a lot of interest in recent years, particularly in appl...
Relative weights are used to interpret a regression equation when the researcher is interested in th...
<p>Relative importance was calculated by summing the corrected Akaike Weights (c<i>w<sub>i</sub></i>...
Determining the importance of independent variables is of practical relevance to ecologists and mana...
The five articles in this special issue of Organizational Research Methods focus on various measures...
A host of recent research has used reweighting methods to analyze the extent to which observable cha...
In a recent paper Gromping provided a wide-ranging review of metrics for assessing variable importan...
11 pagesInternational audienceIn a previous article, we advocated against using the sum of Akaike we...
Family researchers are often interested in the importance of variables to be included in the predict...
Galipaud M, Gillingham MAF, Dechaume-Moncharmont F-X. A farewell to the sum of Akaike weights: The b...
This study examines the performance of eight methods of predictor importance under varied correlatio...
Multiple regression (MR) analyses are commonly employed in social science fields. It is also common ...
University of Minnesota Ph.D. dissertation. January 2018. Major: Psychology. Advisor: Deniz Ones. 1 ...
This article reports the results of a Monte Carlo simulation comparing four differ-ent indices of re...
One of the most difficult tasks facing industrial-organizational psycholo-gists is evaluating the im...
Relative importance is a topic that has seen a lot of interest in recent years, particularly in appl...
Relative weights are used to interpret a regression equation when the researcher is interested in th...
<p>Relative importance was calculated by summing the corrected Akaike Weights (c<i>w<sub>i</sub></i>...
Determining the importance of independent variables is of practical relevance to ecologists and mana...
The five articles in this special issue of Organizational Research Methods focus on various measures...
A host of recent research has used reweighting methods to analyze the extent to which observable cha...