What is systematic random sampling and how is it accomplished?
What will be an ideal response?
Systematic random sampling is a sampling method where you determine randomly where you want to start selecting in a sampling frame list and then follow a rule to select every xth element in the list (where the ordering of the list is assumed to be random—it should be ensured that there is no cyclical or periodic element to the ordering of elements in the sampling frame). This method is also sometimes called interval random sampling.
To achieve a systematic random sample, follow these steps:
1 . Number the units in the population from 1 to N.
2 . Decide on the n (sample size) that you want or need.
3 . Calculate k = N/n = the interval size.
4 . Randomly select an integer between 1 and k as the starting point.
5 . Take every kth unit.
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