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Re: st: RE: test command for categorical variables in survey data


From   Steve Samuels <sjsamuels@gmail.com>
To   statalist@hsphsun2.harvard.edu
Subject   Re: st: RE: test command for categorical variables in survey data
Date   Tue, 28 Feb 2012 18:04:37 -0500


Nalesta Pilgrim:

The test in -svy: tab- (like the chi square test in -tabulate twoway- is a test of independence, not a test of equality of proportions. (And, with -svy-, the distribution of the test is not Chi Square, but that is a different matter.)
You are apparently mixing up the chi square test with the test for equality of means in one-way ANOVA. It's more analogous to a test for interactions in ANOVA.

We need an example of what you want to do. Start with this code and point out proportions you wish to test for equality. 

**********************
webuse nhanes2b
svy: tabulate race diabetes
***********************

Steve
sjsamuels@gmail.com


On Feb 23, 2012, at 2:01 PM, Nanlesta Pilgrim wrote:

Dear Statalist,
I'm wondering if there is a test command for categorical variables
with survey data.
With continuous variables, you can run the test command:
. svy: mean testresult, over(childage)
. test [testresult]1=[testresult]2

For categorical variables, you run:
svy: tab wealth province

My question: how can I test which wealth category is significantly
different from another wealth category if the overall test result
indicates there is a significant difference but all the confidence
intervals overlap?

Thanks!
Nandy
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