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st: Data analysis question
From
amatoallah ouchen <[email protected]>
To
[email protected]
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
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