Non-probability sample
Non-probability sampling is a sampling technique where the samples are gathered in a process that does not give all the individuals in the population equal chances of being selected. This method is commonly used in research studies where it is difficult or impossible to obtain a random sample.
There are several types of non-probability sampling techniques, including:
- Convenience sampling: This method involves selecting individuals who are easy to reach or readily available. For example, surveying shoppers in a mall or students in a classroom.
- Purposive sampling: In this approach, researchers handpick individuals who meet specific criteria. For instance, selecting participants who have experienced a certain event.
- Snowball sampling: This method involves selecting participants based on referrals from existing participants. It is commonly used in studies where the population is hard to reach, such as drug users or homeless individuals.
While non-probability sampling can be useful in certain research scenarios, it is important to note that the results may not be as generalizable as those obtained through probability sampling methods. Researchers should carefully consider the limitations of non-probability sampling when interpreting the findings of their studies.
For more information on non-probability sampling, you can visit the Wikipedia page.