Non Probability Sampling Types and its Types by Muhammad Yousuf Ali
This article discuss two main point about the non probability sampling definition and different types of non probability sampling. Early career researchers and students have little confusion about the different sampling technique. This article helps to student and new learner about the research. I will try to cover two main point in this article.
Q 1 What is none probability sampling?
None Probability Sampling
In None Probability Sampling there is a specific type of population selected for the study or research by the researcher. Entire population have not any chance to select for the study or research.
Non-probability sampling is a sampling technique in which not all members of the population have an equal chance of participating in the study or research, unlike probability sampling Technique.
Q 2 What are the different types of Non Probability sampling?
There are five main types of non-probability sampling.
1. Convenience Sampling
2. Purposive or Judgmental Sampling
3. Quota Sampling
4. Snowball Sampling
5. Self-selection Sampling
1. Convenience Sampling
Convenience sampling (also known as grab sampling, accidental sampling, or opportunity sampling)
Convenience sampling involves using respondents who are ‘‘conveniently available or easy to reach’’ to the researcher and participate in the study.
Example
A researcher wants to know attitude towards smart phone usage of college students. He/She decides to go to a popular college to collect necessary data.
2. Purposive or Judgmental Sampling
Purposive sampling (also known as judgmental, selective or subjective sampling) “elements selected for the sample are chosen by the judgment of the researcher. Researchers often believe that obtain a representative sample by using a sound judgment, which will result in saving time and money”.
Example
Before launching a new clothing product, an organization conducts pilot testing to gather feedback from the market. For the sample population, the researcher chooses expert dress designer experts to provide valuable feedback for product improvement of current products.
3. Quota Sampling
Quota sampling researchers use a specific quota from the respective population to include all the facets of population on the basis of (Gender, Age, Region, experience, profession and etc.)
Example
If your population consists of 45% female and 55% male, your sample should reflect those percentages.
4. Snowball Sampling
Snowball sampling (chain sampling, chain-referral sampling, referral sampling) is a nonprobability sampling technique where existing study subjects recruit future subjects from among their acquaintances. Thus the sample group is said to grow like a rolling snowball. As the sample builds up, enough data are gathered to be useful for research.
Example
A study is investigating cheating on exams, shoplifting, drug use, or any other “unacceptable” societal behavior, potential participants would be wary of coming forward because of possible ramifications.
5. Self-selection Sampling
A sample is self-selected when the inclusion or exclusion of sampling units is determined by researcher whether the units themselves agree or decline to participate as sample, either explicitly or implicitly.
Example
Survey researchers may put a questionnaire online and subsequently invite anyone within a particular organization to take part.
How to Cite
Ali, M.Y. (01 Feb 2022). Non Probability Sampling Types and its Types. https://profileusuf.wordpress.com/non-probability-sampling/
References
Black, K. (2010) “Business Statistics: Contemporary Decision Making” 6th edition, John Wiley & Sons.
Galloway, A. (2005). Non-probability sampling. Encyclopedia of Social Measurement, Pages 859-864. https://doi.org/10.1016/B0-12-369398-5/00382-0
Research Knowledge and Information 