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Re: st: Cramers V with weighted data
I have to apologize to everyone. The statistic computed by the
formula that I gave is Cramer's Phi statistic, which is Cramer's V
for 2x2 tables. Thanks to Nick Cox for pointing out my error and
pointing me to the proper definition.
The proper formula for Cramer's V is:
di "Cramer's V = " sqrt(e(cun_Pear)/(e(N)*min((e(r)-1),(e(c)-1))))
-Steve
On Aug 14, 2008, at 10:47 AM, Waldo, Daniel R. (CMS/ORDI) wrote:
In the case of complex survey design, should the denominator of the
calculation take the design effect into consideration? That is,
should I
use N/DEff as opposed to N?
------------------------------
Date: Tue, 12 Aug 2008 08:34:30 -0400
From: Steven Samuels <[email protected]>
Subject: Re: st: Cramers V with weighted data
I did.
Thanks, Paul.
- -Steve
On Aug 12, 2008, at 5:21 AM, Paul Seed wrote:
I think Steven meant:
gen crV= sqrt(e(cun_Pear)/e(N))
or:
di "Cramer's V = " sqrt(e(cun_Pear)/e(N))
Paul Seed, Lecturer in Medical Statistics
KCL School of Medicine, Division of Reproduction and Endocrinology
tel (+44) (0) 20 7188 3642
On Aug 8, 2008, at 12:21 PM, Steven Samuels wrote:
.
-svyset- the data with pweights equal to your weight. Run -svy:
tabulate- and divide the uncorrected Pearson Chi Square statistic
by the sample size. You can program this by dividing the returned
scalar e(cun_Pear) by the scalar e(N)
gen crV= e(cun_Pear)/e(N)
-Steve
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