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How do I analyze survey data with a repeated systematic sample design? | Stata FAQ

NOTE:  If you
want to see the design effect or the misspecification effect, use estat
effects
after the command.

This example is taken from Levy and Lemeshow’s Sampling
of Populations
.

page 106 repeated systematic sampling

input cluster xi wt1 xibar M
2 15 9 5 54
13 13 9 4.33 54
31 12 9 4.00 54
34 10 9 3.33 54
46 21 9 7 54
53 10 9 3.33 54
end
svyset [pweight = wt1], fpc(M)

      pweight: wt1
          VCE: linearized
     Strata 1: <one>
         SU 1: <observations>
        FPC 1: M

svy: mean xibar
(running mean on estimation sample)

Survey: Mean estimation

Number of strata =       1          Number of obs    =       6
Number of PSUs   =       6          Population size  =      54
                                    Design df        =       5

--------------------------------------------------------------
             |             Linearized
             |       Mean   Std. Err.     [95% Conf. Interval]
-------------+------------------------------------------------
       xibar |   4.498333   .5310139      3.133318    5.863348
--------------------------------------------------------------
svy: total xi
(running total on estimation sample)

Survey: Total estimation

Number of strata =       1          Number of obs    =       6
Number of PSUs   =       6          Population size  =      54
                                    Design df        =       5

--------------------------------------------------------------
             |             Linearized
             |      Total   Std. Err.     [95% Conf. Interval]
-------------+------------------------------------------------
          xi |        729   85.94882      508.0615    949.9385
--------------------------------------------------------------