The response rate is important for several reasons:
Representativeness: A high response rate typically indicates that the study sample is more representative of the target population, reducing selection bias. Statistical Power: Higher response rates ensure a larger sample size, which enhances the statistical power of the study and the ability to detect true associations. Validity: Low response rates can lead to non-response bias, where the characteristics of non-responders differ from those of responders, potentially skewing results.
