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| From | amatoallah ouchen <at.ouchen@gmail.com> |
| To | statalist@hsphsun2.harvard.edu |
| Subject | st: Data analysis question |
| Date | Mon, 12 Apr 2010 19:19:18 +0200 |
Good day Statalisters, I'm computing a composit indicator for each given population unit, using multiple correspondence analysis The CI functional form is defined as follows Ci=(1/K)*(W1i1+W2i2+……..WpIp) where K = number of indicator categories Wp = the weight (score of the first standardized axis, ) of category p, λ1 being the first eigen value. Ip, p=1 à p: binary indicator 0/1, which takes on the value of 1 when the household has modality p, and 0 otherwise My question is the following: Is there any method that may allow me to identify the most important factors that contribute in the composit indicator ?? Any help would be highly appreciated, Thanks a lot in advance Ama * * For searches and help try: * http://www.stata.com/help.cgi?search * http://www.stata.com/support/statalist/faq * http://www.ats.ucla.edu/stat/stata/