Non-response bias is a critical concern in sampling when a significant number of individuals choose not to participate, impacting the reliability and generalizability of study results.
Non-response bias would be the primary concern in this scenario where 40 individuals choose not to participate in a sample of 100 randomly selected from a sampling frame of 1,000. Non-response bias occurs when respondents who do not participate differ in important ways from those who do, potentially skewing the results.
Having a significant number of non-respondents can lead to non-response bias as the characteristics of those who declined to participate may differ from those who agreed. This bias can impact the generalizability of the findings to the larger population.
Addressing non-response through techniques like follow-up contact or adjusting results based on known characteristics of non-respondents can help mitigate the effects of non-response bias and improve the reliability of the study.
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