Cumulative Clicker Practice Test 2026 - Free Practice Questions and Study Guide

Sampling bias refers to a systematic error that occurs when certain members of a population are more likely to be selected for inclusion in a sample than others. This can lead to a sample that is not representative of the entire population, which compromises the validity of the results. For instance, if a survey only samples individuals from a specific demographic and excludes others, the findings may not accurately reflect the views or behaviors of the broader population.

This concept is crucial in research since the aim is often to generalize findings to a larger group. A representative sample is essential to ensure that conclusions drawn from the research can be applied more broadly. In contrast, options regarding sample size or randomization methods do not specifically capture the essence of sampling bias. The inclusion of control groups, while helpful for controlling variables in an experiment, also does not address the issue of biased selection in sampling.