What is a significant drawback of sampling bias?

• A. It creates more accurate results
• B. It leads to a representative sample
• C. It makes the sample unrepresentative of the general population
• D. It ensures high external validity

Answer: (C)

Sampling bias occurs when certain members of a population are systematically more likely to be selected for a study than others, leading to a sample that does not accurately reflect the characteristics of the entire population. This is a significant issue because it undermines the ability to generalize findings from the sample to the broader population.

When sampling bias is present, the results of a study may be skewed or distorted, leading to conclusions that are not valid for the larger group. For instance, if a survey on health behaviors only includes participants from a particular demographic group, the findings may not be applicable to other groups who may have different behaviors and health outcomes.

Thus, the key drawback of sampling bias is that it makes the sample unrepresentative of the general population, which can compromise the integrity and applicability of the research findings. This unrepresentativeness can result in misinformed policy decisions or incorrect assumptions about the population being studied.