Non-Probability Sampling:

Non-probability sampling is a sort of sampling in which it is unknown what percentage of the population will be chosen for the sample.

 For example, the investigator will specifically look for an interview with children who are involved in child labour to evaluate the effects of child labour on children.

What are the types of non-probability sampling?

The types can be classified into the following types:

  1. Purposive sampling:

The sample is a portion chosen in this sort of sampling based on the goals of the research. Deliberate sampling, or judgmental sampling, is another name for it.

When to use it:

  • Judgmental sampling is the optimal sample when there are fewer people in the population and the researcher is confident that the target group will satisfy his or her needs.
  • This sampling technique is best when it’s necessary to filter the samples selected using other sampling techniques since it relies on the expertise and knowledge of the investigator.


  • There won’t be any obstacles because the sampling is chosen by an expert researcher, making sample selection simple.
  • Since the samples chosen will be suitable responders for that specific study, we will almost certainly receive real-time findings since the participants will be knowledgeable about and comprehend the topic.
  • Because a researcher may speak with the target audience directly, results can be as intended.
  1. Quota Sampling:

Members are picked for this type of sample based on the researcher’s selection of a few specific traits. These particular traits work as a quota for choosing the sample’s participants. Researchers get representative data from a group via this kind of sampling. This kind of probability sampling is comparable to stratified random sampling. The sole distinction between the two is that whereas quota sampling does not use random selection, stratified random sampling does.

In the well method, the participants are divided into certain categories, such as 100 men and 100 women. 

It consists of two components: controlled quota sampling, where the researcher’s options are constrained. The alternative form is uncontrolled quota sampling, where there are no restrictions and samples are chosen based on the study’s comfort.