What is an example of non-probability sampling?

Non-probability sampling is a sampling technique where not all individuals have a chance of being selected, thus introducing potential bias but also useful for certain research contexts. Convenience sampling is a prime example of non-probability sampling, as it involves selecting subjects based on their availability and readiness to participate rather than through randomization. This method allows researchers to gather data quickly and efficiently, which can be particularly beneficial in exploratory research or when resources are limited. However, it does limit the generalizability of the findings because the sample may not be representative of the broader population.

The other methods mentioned, such as systematic sampling, stratified random sampling, and random sampling, represent probability sampling techniques. These methods ensure that every individual in the population has a known chance of being selected, which helps to enhance the reliability and validity of the research findings by minimizing bias.