PROC SURVEYSELECT: Proportional Allocation :: SAS/STAT(R) 9.2 User's Guide, Second Edition

The SURVEYSELECT Procedure

Example 87.4 Proportional Allocation

This example uses the Customers data set from the section Getting Started: SURVEYSELECT Procedure. The data set Customers contains an Internet service provider’s current subscribers, and the service provider wants to select a sample from this population for a customer satisfaction survey. This example illustrates proportional allocation, which allocates the total sample size among the strata in proportion to the strata sizes.

The section Getting Started: SURVEYSELECT Procedure gives an example of stratified sampling, where the list of customers is stratified by State and Type. Figure 87.4 displays the strata in a table of State by Type for the 13,471 customers. There are four states and two levels of Type, forming a total of eight strata. A sample of 15 customers was selected from each stratum by using the following PROC SURVEYSELECT statements:

   title1 'Customer Satisfaction Survey';
   title2 'Stratified Sampling';
   proc surveyselect data=Customers
         method=srs n=15
         seed=1953 out=SampleStrata;
      strata State Type;
   run;

The STRATA statement names the stratification variables State and Type. In the PROC SURVEYSELECT statement, the N=15 option specifies a sample size of 15 customers for each stratum.

Instead of specifying the number of customers to select from each stratum, you can specify the total sample size and request allocation of the total sample size among the strata. The following PROC SURVEYSELECT statements request proportional allocation, which allocates the total sample size in proportion to the stratum sizes:

   title1 'Customer Satisfaction Survey';
   title2 'Proportional Allocation';
   proc surveyselect data=Customers
         n=1000 out=SampleSizes;
      strata State Type / alloc=prop nosample;
   run;

The STRATA statement names the stratification variables State and Type. In the STRATA statement, the ALLOC=PROP option requests proportional allocation. The NOSAMPLE option requests that no sample be selected after the procedure computes the sample size allocation. In the PROC SURVEYSELECT statement, the N=1000 option specifies a total sample size of 1000 customers to be allocated among the strata.

Output 87.4.1 displays the output from PROC SURVEYSELECT, which summarizes the sample allocation. The total sample size of 1000 is allocated among the eight strata by using proportional allocation. The allocated sample sizes are stored in the SAS data set SampleSizes.

Output 87.4.1 Proportional Allocation Summary

Customer Satisfaction Survey

Proportional Allocation

The SURVEYSELECT Procedure

Allocation	Proportional
Strata Variables	State
	Type

Input Data Set	CUSTOMERS
Number of Strata	8
Total Sample Size	1000
Allocation Output Data Set	SAMPLESIZES

The following PROC PRINT statements display the allocation output data set SampleSizes, which is shown in Output 87.4.2:

   title1 'Customer Satisfaction Survey';
   title2 'Proportional Allocation';
   proc print data=SampleSizes;
   run;

Output 87.4.2 Stratum Sample Sizes

Customer Satisfaction Survey

Proportional Allocation

Obs	State	Type	Total	AllocProportion	SampleSize	ActualProportion
1	AL	New	1238	0.09190	92	0.092
2	AL	Old	706	0.05241	52	0.052
3	FL	New	2170	0.16109	161	0.161
4	FL	Old	1370	0.10170	102	0.102
5	GA	New	3488	0.25893	259	0.259
6	GA	Old	1940	0.14401	144	0.144
7	SC	New	1684	0.12501	125	0.125
8	SC	Old	875	0.06495	65	0.065

The output data set SampleSizes includes one observation for each of the eight strata, which are identified by the stratification variables State and Type. The variable Total contains the number of sampling units in the stratum, and the variable AllocProportion contains the proportion of the total sample size to allocate to the stratum. The variable SampleSize contains the allocated stratum sample size. For the first stratum (State='AL' and Type='New'), the total number of sampling units is 1238 customers, the allocation proportion is 0.09190, and the allocated sample size is 92 customers. The sum of the allocated sample sizes equals the requested total sample size of 1000 customers.

The output data set also includes the variable ActualProportion, which contains actual stratum proportions of the total sample size. The actual proportion for a stratum equals the stratum sample size divided by the total sample size. For the first stratum (State='AL' and Type='New'), the actual proportion is 0.092, while the allocation proportion is 0.09190. The target sample sizes computed from the allocation proportions are often not integers, and PROC SURVEYSELECT uses a rounding algorithm to obtain integer sample sizes and maintain the requested total sample size. Due to rounding and other restrictions, the actual proportions can differ from the target allocation proportions. See the section Sample Size Allocation for details.

If you want to use the allocated sample sizes in a later invocation of PROC SURVEYSELECT, you can name the allocation data set in the N=SAS-data-set option, as shown in the following PROC SURVEYSELECT statements:

   title1 'Customer Satisfaction Survey';
   title2 'Stratified Sampling';
   proc surveyselect data=Customers
         method=srs n=SampleSizes
         seed=1953 out=SampleStrata;
      strata State Type;
   run;

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