Final answer:
A random sampling method would not result in exposure to non-sampling risk, as it is designed to minimize bias and give every individual an equal chance of being selected.
Step-by-step explanation:
Using a random sampling method would not result in exposure to non-sampling risk. Non-sampling risk is associated with errors that occur in the survey process outside of the sample selection, such as mistakes in data collection, data entry, and analysis. It also includes biases introduced by the selection of a sample that does not adequately represent the entire population. The use of sample size, whether larger or smaller, does not protect against non-sampling risk; rather, it pertains to sampling risk, which deals with the variability that occurs by chance because only a part of the population is surveyed. A non-random sampling method, such as convenience sampling or judgmental sampling, is more likely to introduce non-sampling risk compared to a random sampling method, which aims to give every individual in the population an equal chance of selection, thereby minimizing bias.