What is a limitation associated with non-probability sampling?

The correct answer highlights a fundamental characteristic of non-probability sampling: not all members of the population have an equal chance of being selected. This limitation can lead to selection bias, where certain segments of the population may be overrepresented or underrepresented in the sample. As a result, the findings from a study using non-probability sampling may not be generalizable to the entire population, as the sample does not accurately reflect its diversity or characteristics.

This issue is particularly problematic in research contexts where the objective is to draw conclusions or make inferences about a broader population. The lack of equal selection probability undermines the reliability and validity of the results obtained from non-probability samples. Understanding this limitation is crucial for researchers and practitioners who aim to conduct high-quality studies that can be replicated or used for policy-making decisions.