Why is stratified sampling used?

By Garret Patton on the 11th of June, 2012

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    Uses of Stratified Random Sampling

    • Stratified random sampling is used when the researcher wants to highlight a specific subgroup within the population. This technique is useful in such researches because it ensures the presence of the key subgroup within the sample.
    • Researchers also employ stratified random sampling when they want to observe existing relationships between two or more subgroups. With a simple random sampling technique, the researcher is not sure whether the subgroups that he wants to observe are represented equally or proportionately within the sample.
    • With stratified sampling, the researcher can representatively sample even the smallest and most inaccessible subgroups in the population. This allows the researcher to sample the rare extremes of the given population.
    • With this technique, you have a higher statistical precision compared to simple random sampling. This is because the variability within the subgroups is lower compared to the variations when dealing with the entire population.

      Because this technique has high statistical precision, it also means that it requires a small sample size which can save a lot of time, money and effort of the researchers.


    Refine By kristen k on the 17th of January, 2013

2Simple software

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