Which sampling method would be least likely to introduce bias?

Random sampling is considered the method least likely to introduce bias because it ensures that every individual in the population has an equal chance of being selected. This method minimizes selection bias by giving all members of the population an opportunity to be included in the sample, thus making the sample more representative of the overall population.

In contrast, convenience sampling often relies on readily available individuals, which can lead to unintentional bias, as the sample may not adequately reflect the diversity of the entire population. Quota sampling involves selecting specific groups based on certain characteristics, which can also introduce bias by limiting the randomness of selection. Purposive sampling focuses on individuals with specific traits or experiences, leading to biased outcomes as it is not representative of the larger population.

By ensuring that every individual has an equal probability of being chosen, random sampling effectively captures a wide range of responses, thereby providing more reliable and valid results for analysis.