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Re: st: corr_svy  & covariance matrix for survey data
yes.
Ishtar Govia wrote:
Thanks Nick. And that's two-tailed significance?
Ishtar
On Oct 3, 2008, at 10:37 AM, Nick Winter wrote:
As the help file indicates, the -print()- option suppresses printing 
of correlations with p< the value you specify:
print(#) specifies the significance level of correlation coefficients 
to be printed.  Coefficients with larger significance levels are left 
blank.  print(10) would list only coefficients significant at the 10% 
level or better.
- Nick Winter
Ishtar Govia wrote:
Thanks Nick. The correlation runs successfully with my data, except 
for one issue, the values for one combination of variables (thkdish 
by trethara) are missing. Any ideas what might have caused this hole 
in the matrix?
. corr_svy lesscurt lessresp poorserv notsmart actfraid thkdisho 
actbettr callnmes trethara follstor [pweight=wgtcent], 
strata(stratum) psu(clust) subpop(dgs1sp) obs sig print(10)
Survey Correlation
pweight:  wgtcent
Strata:   stratum
PSU:      clust
Number of observations: 674
            |          lesscurt    lessresp    poorserv    
notsmart    actfraid    thkdisho    actbettr    callnmes    
trethara    follstor
-------------+------------------------------------------------------------------------------------------------------------------------     
lesscurt |      1.0000
            |                 674
            |
            |
  lessresp |      0.8360      1.0000
            |                  674         674
            |            0.0000
            |
 poorserv |      0.4326       0.4556      1.0000
            |                  674             674         674
            |              0.0003      0.0002
            |
  notsmart |      0.5480      0.6199      0.4787      1.0000
            |                  674            674            
674           674
            |             0.0000      0.0000      0.0000
            |
   actfraid |      0.4981      0.5632      0.4310      0.5037      
1.0000
            |                 674            674            
674           674            674
            |           0.0000       0.0000      0.0001      0.0000
            |
 thkdisho |      0.4426      0.4273      0.4048      0.5294      
0.4423      1.0000
            |                 674            674           
674            674            674           674
            |            0.0001      0.0010      0.0001      
0.0011      0.0182
            |
   actbettr |      0.5747      0.6057      0.3899      0.6373      
0.6112      0.4671      1.0000
            |                 674            674           
674            674            674           674            674
            |           0.0000      0.0000      0.0030      
0.0000      0.0000      0.0010
            |
callnmes |      0.3420      0.3819      0.3722      0.5454      
0.3377      0.3830      0.4690      1.0000
            |                 674            674            
674           674           674            674            
674            674
            |           0.0027       0.0015      0.0000      
0.0001      0.0053      0.0243      0.0026
            |
 trethara |      0.2388      0.3227      0.3974      0.4355      
0.4107                          0.4221      0.7472      1.0000
            |               674            674            
674            674           674                                
674            674         674
            |         0.0093      0.0050      0.0001      0.0175      
0.0130                           0.0112      0.0001
            |
  follstor |      0.3973      0.4183      0.5286      0.4711      
0.4799      0.3877      0.4689      0.4855      0.5464      1.0000
            |              674            674            
674            674           674            674            
674            674           674            674
            |         0.0000      0.0000      0.0001      0.0031      
0.0000      0.0014      0.0005      0.0029      0.0005
-------------------------------------------------------------------------------------------------------------------------------------- 
Key: Estimated Correlation
    Number of observations
    Significance Level
Ishtar Govia
[email protected]
On Oct 3, 2008, at 8:32 AM, Nick Winter wrote:
Hi,
-lw- is not an option because listwise is the default.  So simply do 
not specify -pw-, and you will get listwise deletion.
-NW
Ishtar Govia wrote:
Thanks, Nick. The background information on the command and the 
Stata versions was insightful. The recommendations re: getting 
around the limitations of the syntax for the subpop were very 
helpful. I created the single variable (cases either in or out of 
the subpop) and the following code ran successfully.
corr_svy lesscurt lessresp poorserv notsmart actfraid thkdisho 
actbettr callnmes trethara follstor [pweight=wgtcent], 
strata(stratum) psu(clust) subpop(dgs1sp) pw obs sig print(10)
I tried to rerun it specifying a listwise correlation but received 
the following error message:
corr_svy lesscurt lessresp poorserv notsmart actfraid thkdisho 
actbettr callnmes trethara follstor [pweight =wgtcent], 
strata(stratum) psu(clust) subpop(dgs1sp) lw obs sig print(10)
option lw not allowed
r(198);
Is there a reason that lw option for -corr_svy- is not allowed? Or 
is this again something that is specific to the command being a 
version 7 command? Or is there some other command that is used to 
generate the listwise correlation using the -corr_svy-?
On Oct 2, 2008, at 1:02 PM, Nick Winter wrote:
Hi,
I wrote -corr_svy-, so here goes.
There are a couple of things going on here: (1) -corr_svy- is a 
version 7 command, and seems to be having some trouble interacting 
with the way that Stata 10 stores the survey characteristics as 
set by -svyset-.  (2) -corr_svy- uses the older, more limited 
syntax for the -subpop()- option.
Issue (2) means that your subpop option must be specified as a 
single variable name that takes on values 1 or 0 for cases that 
are in or out of your subpopulation, respectively.  If you have a 
complex condition, you must first generate such a variable.
So, the following *should* work, but does not:
. sysuse auto
. svyset rep78 [pw=weight]
. corr_svy mpg price , subpop(foreign) sig
Survey Correlation
pweight:  <none>
Strata:   <one>
PSU:      <observations>
Number of observations: 22
          |         mpg       price
-------------+------------------------
      mpg |      1.0000
          |
          |
    price |     -0.6313      1.0000
          |      0.0042
--------------------------------------
Key: Estimated Correlation
  Significance Level
As indicated in the output, -corr_svy- has ignored the survey 
characteristics.
However, you can specify the survey characteristics in the 
-corr_svy- command itself:
. corr_svy mpg price [pw=weight], psu(rep78) subpop(foreign) sig
Survey Correlation
pweight:  weight
Strata:   <one>
PSU:      rep78
Number of observations: 21
          |         mpg       price
-------------+------------------------
      mpg |      1.0000
          |
          |
    price |     -0.5735      1.0000
          |      0.0344
--------------------------------------
Key: Estimated Correlation
  Significance Level
This gives you what you wanted.
(-corr_svy- will also set the survey characteristics you specify 
in a way that subsequent calls to -corr_svy- can see, so you 
really only need to specify them in the first run.)
What's going on?  With version 9 Stata reworked completely the way 
that survey characteristics are stored, presumably to support the 
enhancements to the survey capabilities (such as supporting 
multiple rounds of sampling).  -corr_svy- uses the 
un/non-documented Stata program -svy_get- to retrieve survey 
characteristics if they are not specified in the command line.  
Unfortunately this is a Stata 8 command, and cannot "see" the 
version 9+ survey characteristics.
In the long run I will fix -corr_svy- to deal with the new survey 
characteristics. In the short run you can simply specify them when 
you run -corr_svy_, or with a call to the version 8 -svyset-, like 
this:
. version 8: svyset ....
As a side effect, this means that -corr_svy- cannot deal with the 
more complex sample specifications allowed with version 9+.
- Nick Winter
Ishtar Govia wrote:
Dear List,
I am using Stata 10/SE 10.1 for Macs. I have two questions. One 
concerning the --corr_svy-- module and error messages I have been 
getting, the second concerning how to obtain a covariance matrix 
for complex survey sample data, within Stata.
I am working with a complex survey sample dataset and am using 
Stata for some preliminary data analyses (univariate and 
multivariate checks for normality, efas) before moving to Mplus 
for SEM modeling. I installed the --corr_svy-- module from within 
Stata by typing "ssc install corr_svy"
However, in my first attempt below, I got the following error 
message:
svy, subpop (if race3cat==2 & sex==1 & (riwyes==1 & riwyes <.)): 
corr_svy lesscurt lessresp poorserv notsmart actfraid thkdisho 
actbettr callnmes trethara follstor, pw obs sig
corr_svy is not supported by svy with vce(linearized); see help 
svy estimation for a list of Stata estimation commands that are 
supported by svy
r(322);
I then attempted to reset the weight and design variables, and 
run the --corr_svy--, following the example in the "help" for the 
--corr_svy--, excluding my subpop specification.
. svyset clust [pweight=wgtcentriw], strata (stratum) ||_n
Note: stage 1 is sampled with replacement; all further stages 
will be ignored
   pweight: wgtcentriw
       VCE: linearized
Single unit: missing
  Strata 1: stratum
      SU 1: clust
     FPC 1: <zero>
. corr_svy lesscurt lessresp poorserv notsmart actfraid thkdisho 
actbettr callnmes trethara follstor, pw obs sig
This worked--but it didn't include my subpop specification. I 
then tried the same thing with my subpop specifcation and it 
DIDN'T work. Any ideas on how to use the corr_svy module to 
obtain the correlation matrix, accounting for the weight and 
design variables and allowing me to restrict my analyses to my 
subpop of interest?
corr_svy lesscurt lessresp poorserv notsmart actfraid thkdisho 
actbettr callnmes trethara follstor [pweight=wgtcent], 
strata(stratum) psu(clust) subpop(if race3cat==2 & sex==1 & 
(riwyes==1 & riwyes <.)) pw obs sig print(10) star(5)
subpop() does not contain a valid varname
r(198);
. svyset clust [pweight=wgtcentriw], strata (stratum) ||_n
Note: stage 1 is sampled with replacement; all further stages 
will be ignored
   pweight: wgtcentriw
       VCE: linearized
Single unit: missing
  Strata 1: stratum
      SU 1: clust
     FPC 1: <zero>
. corr_svy lesscurt lessresp poorserv notsmart actfraid thkdisho 
actbettr callnmes trethara follstor, pw obs sig
In addition, does anyone know how to use the matrix I am trying 
to obtain above to obtain a covariance matrix that can be easily 
transferred to Mplus or LISREL for CFA and SEM analyses?
Thanks for your consideration,
Ishtar Govia
[email protected]
*
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--
--------------------------------------------------------------
Nicholas Winter                                 434.924.6994 t
Assistant Professor                             434.924.3359 f
Department of Politics                  [email protected] e
University of Virginia          faculty.virginia.edu/nwinter w
PO Box 400787, 100 Cabell Hall
Charlottesville, VA 22904
*
*   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/
*
*   For searches and help try:
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*   http://www.ats.ucla.edu/stat/stata/
--
--------------------------------------------------------------
Nicholas Winter                                 434.924.6994 t
Assistant Professor                             434.924.3359 f
Department of Politics                  [email protected] e
University of Virginia          faculty.virginia.edu/nwinter w
PO Box 400787, 100 Cabell Hall
Charlottesville, VA 22904
*
*   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/
*
*   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/
--
--------------------------------------------------------------
Nicholas Winter                                 434.924.6994 t
Assistant Professor                             434.924.3359 f
Department of Politics                  [email protected] e
University of Virginia          faculty.virginia.edu/nwinter w
PO Box 400787, 100 Cabell Hall
Charlottesville, VA 22904
*
*   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/
*
*   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/
--
--------------------------------------------------------------
Nicholas Winter                                 434.924.6994 t
Assistant Professor                             434.924.3359 f
Department of Politics                  [email protected] e
University of Virginia          faculty.virginia.edu/nwinter w
PO Box 400787, 100 Cabell Hall
Charlottesville, VA 22904
*
*   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/