Systematic sampling: Definition, examples, advantages and disadvantages and application


Systematic sampling:

In systematic sampling (also called systematic random sampling) every Nth member of population is selected to be included in the study. It is a probability sampling method. It has been stated that “with systematic sampling, every Kth item is selected to produce a sample of size n from a population size of N”. Systematic sampling requires an approximated frame for a priori but not the full list.

As it is the case with any other sampling method, you will have to obtain confirmation from your dissertation supervisor about your choice of systematic sampling, total size of population, size of your sample group and the value of N sample fraction before starting collecting the primary data.

Advantages of systematic sampling

·        Operational convenience
·        Field control
·        Less non sampling error
·        Reduced cost
·        Greater efficiency

Disadvantages of systematic sampling

  •        Effect of periodicity
  •        Effect of trend
  •        Effect of ordering

Application of systematic sampling

  •        In Gallup poll
  •        In quality control
  •        In auditing
  •        In market research
  •        In crop estimation
  •        In health studies

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