What is a disadvantage of the Simple Random Sample (SRS) method?

A disadvantage of the Simple Random Sample (SRS) method is that it can struggle to adequately represent the diversity within a population if certain characteristics or strata are not sufficiently captured. In cases where the population has distinct subgroups or strata (like age, income levels, or geographical areas), a simple random sample might end up underrepresenting or overrepresenting these groups by chance, which can lead to skewed results.

This limitation can hinder researchers' ability to generalize findings to the entire population because if certain strata are not included in the sample at all, the results might not truly reflect the whole population's characteristics. Consequently, stratified sampling techniques are often preferred when there is a need to ensure all subgroups are adequately represented in the sample.

The other options, while touching on real concerns in sampling methods, do not capture the fundamental issue with SRS regarding population diversity and representativeness.