Non-probability sampling method

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 Purposive or judgment sampling:



  • In this method population elements are selected based on the judgment of the researcher.

  • Judgment sampling is used to select a specific group to study and the investigator select the samples according to their own choice. 

  • This technique though not scientific but very useful.

  • The researcher, exercising judgment or expertise, chooses the elements to be included in the sample, because he or she believes that they are representative   of the population of interest or are otherwise appropriate.

  • Common example of judgment sampling include: test markets selected to determine the population of new product.



Quota sampling: 



  • Quota sampling is a form of non-probability sampling that is often mistaken for stratified probability sampling. 

  • This is because there is an attempt to select certain-sized sub samples from clearly defined groups. 

  • The difference is that in quota sampling, sampling frames from which to select the sample are not set up. 

  • The groups are defined, and the sizes specified, and then individuals who fit these descriptions are selected to fill the quotas wherever they can be found.


Chunk or convenience sampling: 



  • Convenience sampling attempts to obtain a sample of convenient elements. 

  • The selection of sampling units is left primarily to the interviewer. Often, respondents are selected because they happen to be in the right place at the right time. One example of sampling include: “people on the street” interviews.

  • Convenience sampling is the least expensive and least time consuming of all sampling techniques. The sampling units are accessible, easy to measure, and operative.

  • In spite of these advantages, this form of sampling has serious limitations. Many potential sources of selection bias are present, including respondent self-selection. 

  • Convenience samples are not representative of any definable population. 

  • It is not theoretically meaningful to generalize to any population from a convenience sample.

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