Bookmark and Share

Notice: On April 23, 2014, Statalist moved from an email list to a forum, based at statalist.org.


[Date Prev][Date Next][Thread Prev][Thread Next][Date Index][Thread Index]

Re: st: subpops vs. over & lincom t vs. regress t in svyset data


From   Michael Costello <[email protected]>
To   statalist <[email protected]>
Subject   Re: st: subpops vs. over & lincom t vs. regress t in svyset data
Date   Sun, 22 Jan 2012 22:13:36 -0500

I originally sent this e-mail three weeks ago, but didn't receive a
response.  I was very much hoping for one, so I thought I would
repost.
-M.

I'm working with many many similar survey weighted datasets of
international education data.  Often I am tasked with creating tables
of statistics (means, variances, counts, t-statistics, effect size,
etc.) for many subpopulations and over several phases (baseline,
midterm, final).

We had been calculating our statistics using -svy: varname,
over(subpops)- rather than using many -svy, subpop(subpops): mean
varname- functions in quick succession, as the returned values were
equal.  In a more recent database, the values are not equal, and I'm
wondering why that is.  The subpopulation I was working with was
gender (female=1, male=0).  Could the discrepancies be due to the
handful of observations with gender = . (missing), or is there some
other difference in the calculations?  It appears that using the
-subpop- option treats those observations as non-existent.  How does
-over- treat them?

I'm also trying to find out the difference between the t-statistic
that is printed when I do a -lincom- function and the t-statistic that
is printed when I do a regress function.  For example:

svy: regress score gender
vs.
svy: mean score, over(gender)
lincom [score]Male - [score]Female

I believe that the regression function uses a pooled standard error
SE, while the -lincom- uses an unpooled calculation, but I was hoping
for some confirmation on that.

Thanks so much for all your help and advice!  You folks are always so
helpful and informative.

-Michael
--
Michael Costello

"To call in the statistician after the experiment is done may be no
more than asking him to perform a post-mortem examination: he may be
able to say what the experiment died of."  -Sir Ronald Aylmer Fisher,
FRS

*
*   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/


© Copyright 1996–2018 StataCorp LLC   |   Terms of use   |   Privacy   |   Contact us   |   Site index