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Table 1 Summary of sampling methods used, outline of sampling technique and example of how the sampling technique relates to real field survey and DSS designs.

From: Population survey sampling methods in a rural African setting: measuring mortality

Sampling Method

Technique

Example situation in field surveys

Simple Random

Step 1: Assign a random number to each sampling unit

Cross-sectional surveys within DSS settings

 

Step 2: Sort sampling units by their random number

 
 

Step 3: Select sampling units in ascending order of random numbers until desired sample size is reached

 

Probability Proportional to Size

Step 1: Assign a random number to each sampling unit

 
 

Step 2: Multiply the population of each sampling unit by the random number

 
 

Step 3: Sort sampling units on the number generated in Step 2

 
 

Step 4: Select sampling units in descending order of number generated in Step 2 until desired sample size is reached

 

Proportional Stratified Sampling

Step 1: Determine the proportion of sampling units needed in each strata

Cross-sectional surveys within DSS settings or establishing a DSS

 

Step 2: Assign a random number to each sampling unit

 
 

Step 3: Select sampling units from each strata using simple random methods until the desired sample size and ratio between strata is obtained

 

Multi-stage Sampling (Stage 1 random; Stage 2 random)

Step 1: Randomly select geographical area for sampling

Establishing a DSS

 

Step 2: Assign a random number to each sampling unit in the selected area

 
 

Step 3: Sort sampling units by their random number

 
 

Step 4: Select sampling units in ascending order of random number until desired sample size is reached

 

Multi-stage Sampling (Stage 1 random; Stage 2 PPS)

Step 1: Randomly select geographical area

 
 

Step 2: Assign a random number to each sampling unit in the selected area

 
 

Step 3: Multiply the population of each sampling unit by the random number

 
 

Step 4: Sort sampling units on the number generated in Step 3

 
 

Step 5: Select sampling units in descending order of number generated in Step 3 until desired sample size is reached

 

Geographically Dispersed (Stage 1 random; Stage 2 random; Stage 3 random)

Step 1: Randomly select two geographical areas

Multi-centre study

 

Step 2: Assign a random number to each sampling unit in each of the selected areas

 
 

Step 3: Sort sampling units by their random number

 
 

Step 4: Select sampling units in ascending order of random number until 50% of the desired sample is selected from each geographical area

 

Geographically Dispersed (Stage 1 random; Stage 2 random; Stage 3 PPS)

Step 1: Randomly select two geographical areas

 
 

Step 2: Assign a random number to each sampling unit in each of the selected areas

 
 

Step 3: Multiply the population of each sampling unit by the random number

 
 

Step 4: Sort sampling units on the number generated in Step 3

 
 

Step 5: Select sampling units in descending order of number generated in Step 3 until 50% of the sample is selected from each geographical area