Nonresponse Bias
What is Nonresponse Bias in Surveys?
Nonresponse bias in surveys occurs when the individuals who do not respond to the survey differ in important ways from those who do respond, leading to results that may not accurately represent the entire target population.
Synonyms: survey nonresponse bias, non-response bias, response bias in surveys, survey participation bias
Why Nonresponse Bias is Important
Nonresponse bias can significantly affect the accuracy and reliability of survey results. If certain groups are less likely to respond, the survey findings may be skewed, leading to incorrect conclusions and poor decision-making.
How Nonresponse Bias Occurs in Surveys
Nonresponse bias happens when the characteristics of non-respondents differ from respondents. For example, if younger people are less likely to answer a survey, their views will be underrepresented, affecting the overall results.
Examples of Nonresponse Bias
A survey on health habits might miss responses from people with unhealthy lifestyles who avoid surveys, causing an overestimation of healthy behaviors in the population.
Frequently Asked Questions
- What causes nonresponse bias? It is caused by differences between respondents and non-respondents in a survey.
- How can nonresponse bias be reduced? By using follow-ups, incentives, and making surveys easier to complete.
- Does nonresponse bias affect all surveys? It can affect any survey but is more problematic in those with low response rates.
- Why is nonresponse bias a problem? It leads to inaccurate survey results that do not reflect the true opinions or behaviors of the target group.
