What is purposive random sampling?

Purposive random sampling is a sampling technique that combines random sampling with a specific purpose.

Purposive random sampling is a method of selecting a sample from a population that combines random sampling with a specific purpose. This technique is used when the researcher wants to ensure that the sample is representative of a particular subgroup within the population. For example, if a researcher wants to study the opinions of women on a particular topic, they may use purposive random sampling to ensure that the sample includes a representative number of women.

To use purposive random sampling, the researcher first identifies the subgroup they want to study. They then use a random sampling technique to select individuals from that subgroup. For example, if the researcher wants to study the opinions of women, they may use a random sampling technique to select women from a list of names.

The advantage of purposive random sampling is that it allows the researcher to ensure that the sample is representative of a particular subgroup within the population. This can increase the validity of the study and make the results more generalizable to the population as a whole.

However, there are also some disadvantages to using purposive random sampling. One disadvantage is that it can be time-consuming and expensive to identify the subgroup and select individuals from that subgroup. Additionally, there is always the risk of bias in the selection process, as the researcher may unintentionally select individuals who are more likely to have certain opinions or characteristics.

Overall, purposive random sampling is a useful technique for researchers who want to ensure that their sample is representative of a particular subgroup within the population. However, it is important to be aware of the potential limitations and biases associated with this technique.