Dominance Analysis Macros Dominance Analysis SAS Macros

For information and details about dominance analysis, refer to

Budescu, D. V. (1993), Dominance analysis: a new approach to the problem of relative importance of predictors in multiple regression, Psychological Bulletin, 114, 542-551;

or to

Azen, R., and Budescu D. V. (2003). The dominance analysis approach for comparing predictors in multiple regression . Psychological Methods, 8, 129-148.

These macros are written in SAS (version 8).

THE PROGRAMS:

This program outputs the additional contributions table as discussed in Budescu (1993).
The OUTPUT of this program includes the following information:

• Regression analysis using the input data file;
• Dominance analysis results for each dominance level:
• Average contributions within model size;
• Overall averaged contributions.

This program outputs the additional contributions table as discussed in Budescu (1993) as well as Dij values, means, standard errors and reproducibility results as discussed in Azen & Budescu (2003).
The OUTPUT of this program includes the following information:
• Regression analysis using the input data file;
• Dominance analysis results for each dominance level:
• Additional contributions table (Complete dominance);
• Average contributions within model size (Conditional dominance);
• Overall averaged contributions (General dominance).
For each of the above dominance levels:
• Frequencies and probabilities of dominance over repeated sampling;
• Mean and SE of dominance indicator over repeated sampling;
• Reproducibility of sample results over repeated sampling;

This program outputs the additional contributions table as discussed in Azen & Budescu (2006).
This program will compute DA based on (1) each of q response variables (Y) separately; (2) a function of the q response variables taken together using multivariate R2; and (3) a function of the q response variables taken together using multivariate P2.
WARNING: This program is quite SLOW! Each bootstrap run may take about 30 seconds.

Logistic DA main program | Logistic DA macros (Click to download -- both programs needed).
This program provides output for the analysis of empirical data sets as discussed in Azen & Traxel (2009).
This program will compute DA for logistic regression using one binary response variable (Y) and p predictor variables.

If there are any problems with the programs, PLEASE LET ME KNOW.