How Do Non-Representative Samples Affect Study Outcomes?
Non-representative samples can lead to bias in study outcomes, which can manifest in several ways:
Underestimation or Overestimation of Risk: If certain groups are underrepresented in a study, the actual risk of exposure may be underestimated or overestimated, leading to flawed risk assessments. Invalid Generalizations: Conclusions drawn from a biased sample might not hold true for the broader population, limiting the studyâs applicability. Policy Implications: Regulatory policies based on non-representative data may fail to protect vulnerable populations.
