UCLA Academic Technology Services HomeServicesClassesContactJobs
Search

SUDAAN FAQ 
How do I analyze survey data with a one-stage cluster design?

This example is taken from Levy and Lemeshow's Sampling of Populations.
page 250 simple one-stage cluster sampling
This example uses the tab9_1c data set.
proc descript data = tab9_1c filetype =sas design = wor means totals;
  nest _one_  devlpmnt;
  totcnt m _zero_;
  weight wt1;
  var nge65 nvstnrs hhneedvn;
  setenv colwidth = 13 decwidth = 5;
run;
Number of observations read    :     40    Weighted count :      100
Denominator degrees of freedom :      1

Variance Estimation Method: Taylor Series (WOR)
by: Variable, One.

------------------------------------------------------
|                 |                  |
| Variable        |                  | One
|                 |                  | 1             |
------------------------------------------------------
|                 |                  |               |
| NGE65           | Sample Size      |      40.00000 |
|                 | Weighted Size    |     100.00000 |
|                 | Total            |     167.50000 |
|                 | SE Total         |       1.93649 |
|                 | Mean             |       1.67500 |
|                 | SE Mean          |       0.01936 |
------------------------------------------------------
|                 |                  |               |
| NVSTNRS         | Sample Size      |      40.00000 |
|                 | Weighted Size    |     100.00000 |
|                 | Total            |      57.50000 |
|                 | SE Total         |       1.93649 |
|                 | Mean             |       0.57500 |
|                 | SE Mean          |       0.01936 |
------------------------------------------------------
|                 |                  |               |
| HHNEEDVN        | Sample Size      |      40.00000 |
|                 | Weighted Size    |     100.00000 |
|                 | Total            |      52.50000 |
|                 | SE Total         |       1.93649 |
|                 | Mean             |       0.52500 |
|                 | SE Mean          |       0.01936 |
------------------------------------------------------

proc ratio data = tab9_1c filetype = sas design = wor;
  nest _one_ devlpmnt;
  totcnt M _zero_;
  weight wt1;
  numer nvstnrs;
  denom nge65;
  setenv colwidth = 13 decwidth = 5;
run;
Number of observations read    :     40    Weighted count :      100
Denominator degrees of freedom :      1

Variance Estimation Method: Taylor Series (WOR)
by: Variable, One.

------------------------------------------------------
|                 |                  |
| Variable        |                  | One
|                 |                  | 1             |
------------------------------------------------------
|                 |                  |               |
| NVSTNRS/NGE65   | Sample Size      |      40.00000 |
|                 | Weighted Size    |     100.00000 |
|                 | Weighted X-Sum   |     167.50000 |
|                 | Weighted Y-Sum   |      57.50000 |
|                 | Ratio Est.       |       0.34328 |
|                 | SE Ratio         |       0.00759 |
------------------------------------------------------
This example is taken from Lehtonen and Pahkinen's Practical Methods for Design and Analysis of Complex Surveys.
page 83 Table 3.6  Estimates from a one-stage CLU sample (n = 8); the Province'91 population.
data page83;
  input id str clu wt ue91 lab91;
  fpc = 32;
  cards;
  1 1 2 4 666 6016 
  2 1 2 4 528 3818 
  3 1 2 4 760 5919 
  4 1 2 4 187 1448 
  5 1 8 4 129 927 
  6 1 8 4 128 819 
  7 1 8 4 331 2543 
  8 1 8 4 568 4011 
  ;
run;
proc descript data = page83 filetype = sas design = wor;
  weight wt;
  nest _one_ clu;
  var ue91;
  totcnt fpc _zero_;
  print total setotal deffmean defftotal;
run;
Number of observations read    :      8    Weighted count :       32
Denominator degrees of freedom :      1
Variance Estimation Method: Taylor Series (WOR)
by: Variable, One.

-----------------------------------------------------
|                 |                  |
| Variable        |                  | One
|                 |                  | 1            |
-----------------------------------------------------
|                 |                  |              |
| UE91            | Total            |     13188.00 |
|                 | SE Total         |      3814.89 |
|                 | DEFF Mean #4     |         1.80 |
|                 | DEFF Total #4    |         1.80 |
-----------------------------------------------------
proc ratio data = page83 filetype = sas design = wor;
  weight wt;
  nest _one_ clu;
  totcnt fpc _zero_;
  numer ue91;
  denom lab91;
run;
Number of observations read    :      8    Weighted count :       32
Denominator degrees of freedom :      1
Variance Estimation Method: Taylor Series (WOR)
by: Variable, One.

---------------------------------------------------
|                 |                  |
| Variable        |                  | One
|                 |                  | 1          |
---------------------------------------------------
|                 |                  |            |
| UE91/LAB91      | Sample Size      |          8 |
|                 | Weighted Size    |      32.00 |
|                 | Weighted X-Sum   |  102004.00 |
|                 | Weighted Y-Sum   |   13188.00 |
|                 | Ratio Est.       |       0.13 |
|                 | SE Ratio         |       0.01 |
---------------------------------------------------
proc descript data = page83 filetype = sas design = wor ;
  weight wt;
  nest _one_ clu;
  var ue91;
  totcnt fpc _zero_ ;
  percentile / median;
run;
Cannot extrapolate to compute confidence limit for 50.00th percentile.
Generating a missing value.
Cannot extrapolate to compute confidence limit for 50.00th percentile.
Generating a missing value.

Number of observations read    :      8    Weighted count :       32
Denominator degrees of freedom :      1
Variance Estimation Method: Taylor Series (WOR)
by: Variable, One, Percentiles.

for: Variable = UE91.

-----------------------------------------------------------------------------------
One                    Sample     Weighted                  Lower 95%    Upper 95%
   Percentiles         Size       Size           Quantile   Limit        Limit
-----------------------------------------------------------------------------------
1
    50.00                     8        32.00       331.00          .            .
-----------------------------------------------------------------------------------
---------------------------------
One                    SE
   Percentiles         Quantile
---------------------------------
1
    50.00                     .
---------------------------------

How to cite this page

Report an error on this page

UCLA Researchers are invited to our Statistical Consulting Services
We recommend others to our list of Other Resources for Statistical Computing Help
These pages are Copyrighted (c) by UCLA Academic Technology Services


The content of this web site should not be construed as an endorsement of any particular web site, book, or software product by the University of California.