Non-Probability Sampling: Definition, types, Examples, and.
M. H. Alvi (2016): A Manual for Selecting Sampling Techniques in Research 5 of various types of probability sampling technique. Appendix III is presenting a brief summary of various types of non-probability sampling technique. A glossary is also provided in the manual. The words that are used as synonyms to one another are mentioned.
Non-probability sampling can be defined briefly as “Sampling techniques that do not use chance selection procedures, but rather rely on personal judgement of the researcher” (Malhotra and Birks, 2000, 358) An example of this would be a person who choices people on the street to take part in a survey by using his personal judgement.
Non probability sampling is often associated with case s tudy research design and qualitative research. With regards to the latter, case studies tend to focus on small samples an d are intended.
The first step in non-probability quota sampling is to divide the population into exclusive subgroups. Then, the researcher must identify the proportions of these subgroups in the population; this same proportion will be applied in the sampling process.
According to (Bryman and Bell, 2007), defined non-probability sampling is “a sample that has not been selected using a random selection method”. In other word, non-probability sampling captures all forms of sampling methods. In this research, researchers select non-probability sampling method as a data sampling aspect.
Non-probability Sampling is a method wherein each member of the population does not have an equal chance of being selected. When the researcher desires to choose members selectively,non-probability sampling is considered. Both sampling techniques are frequently utilized. However, one works better than others depending on research needs.
Non-probability sampling is a group of sampling techniques where the samples are collected in a way that does not give all the units in the population equal chances of being selected. Probability sampling does not involve random selection at all. For example, one member of a population could have a 10% chance of being picked.