Non-Response Bias

Non-response bias occurs when individuals chosen for a survey or study do not respond, and their absence affects the results. If the non-responders differ significantly from those who participate—for example, in opinions, behaviors, or characteristics—the findings may not accurately represent the entire group. This bias can lead to incorrect conclusions because the data only reflects those who responded, potentially skewing insights if the non-responders have different perspectives or traits. Addressing non-response bias is important for ensuring the validity and reliability of research outcomes.