Which sampling method is most likely to introduce bias due to convenience of selection?

Convenience sampling is identified as the method most likely to introduce bias due to the ease of selection involved in this approach. In convenience sampling, researchers select participants who are readily available or easy to reach, rather than using a methodical approach to ensure that all members of the population have an equal chance of being included. This selection process often leads to a non-representative sample that may not accurately reflect the characteristics or views of the larger population.

For instance, if researchers only survey people in a specific location, like a mall or a college campus, they may miss out on the perspectives of individuals from different demographics or regions who may not frequent those locations. This can result in skewed data and inaccurate conclusions because the sample is not diverse or random enough to represent the entire population.

In contrast, other sampling methods such as simple random sampling, stratified sampling, and systematic sampling are structured to mitigate bias by ensuring that the sample drawn provides a more accurate representation of the population. These methods involve more systematic approaches to selection, helping to achieve a balanced and representative sample.