References for general information on dominance analysis:
- 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;
- Azen, R., and Budescu D. V. (2003). The dominance analysis approach for comparing predictors in multiple regression. Psychological Methods, 8, 129-148.
These macros were written in SAS (version 8).
THE PROGRAMS:
DA tables macro (Click to download)
- 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:
- Additional contributions table;
- Average contributions within model size;
- Overall averaged contributions.
DA macro (Click to download)
- 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.
Multivariate DA macro (Click to download).
- This program outputs the additional contributions table as discussed in Azen & Budescu (2006).
- This program will compute DA based on
- each of q response variables (Y) separately;
- a function of the q response variables taken together using multivariate R2; and
- a function of the q response variables taken together using multivariate P2.
NOTE: This program might be quite SLOW!
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.