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st: RE: differentiating missing values in codebook


From   "Nick Cox" <n.j.cox@durham.ac.uk>
To   <statalist@hsphsun2.harvard.edu>
Subject   st: RE: differentiating missing values in codebook
Date   Thu, 9 Mar 2006 21:52:13 -0000

I can't comment on SPSS, which I believe to 
be another program. 

But there is no need for hunch or surmise. 

Even if you haven't got a manual to hand, a good 
introduction to Stata's approach to missing values 
is provided by 

. help missing 

In essence you can map those large negative
values to specially coded missing values of your choice, 
after which you can, I imagine, emulate 
anything reasonable that your other program produces
fairly closely. 

Nick 
n.j.cox@durham.ac.uk 

Graham Wright
 
> I'm trying to use stata to produce a weighted codebook of a large 
> dataset. Just a lot of one way tabs in survey mode. However, 
> I'm having 
> trouble getting the missing values to work the way I would like.
>            The data was originally coded in SPSS, and missing values 
> were expressed as large negative numbers (-999 etc) and given 
> different 
> labels depending on why the data is missing ("Refused," "Question not 
> asked" etc). Naturally, when I run frequency commands in SPSS I get 
> relative frequencies for the valid data only, but I get to see the 
> missing values too. However, since we're using a complex 
> sample design, 
> I need to use stata to get the correct confidence intervals, 
> but as far 
> as I can tell, the only value that stata will accept as missing is a 
> period, anything else gets included in the analysis, so I can't 
> differentiate between different kinds of missing values, like 
> I can in 
> SPSS. Is there a way to get an SPSS style output (valid, 
> missing & valid 
> percent, total percent) in Stata? My hunch is that you simply 
> can't do 
> this in Stata but maybe someone knows a way.

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