Multistage sampling: Definition, real life example, advantages and disadvantages.


Multistage sampling

If you divide the population into groups and then sample individuals within each selected group, then you have two stage sample. If groups contain smaller groups you can do a three stage sample, and so on. These are multistage sample. This sampling procedure is called multistage sampling. Its also a probability sampling.

In reallife we divide a country in severel cities then blocks then household then we collect data from the people of selected household. this is a four stage sampling.
Cities→→blocks householdspeople 

Advantage of multistage sampling

  •      Simplification: This probability sampling is more simple than other probability sampling. In this sampling we just divide our study area in various stages and we collect data from the last stage .
  •      Flexibility: This sampling procedure is more flexible than other sampling. From data collection to data sorting, data cleaning all the process are flexible.

Disadvantages of multistage sampling

  •         Arbitrariness:
  •         Lost data:

Application of multistage sampling

·        construction of sampling frames at each lower stage becomes less costly
·        cost efficiency with use of clusters at higher stages of selection
·        Flexibility in choice of sampling units and methods of selection at different stages
·        Contribution of different stages towards sampling variance may be estimated separately

Post a Comment