non-response

the high non-response rate significantly impacted the survey's validity.

we analyzed the potential reasons for non-response in the questionnaire.

non-response bias can skew the results of a study.

minimizing non-response is crucial for accurate data collection.

follow-up emails were sent to reduce non-response to the survey.

the non-response rate was higher among younger participants.

we used weighting techniques to adjust for non-response bias.

non-response can be a significant challenge in longitudinal studies.

understanding non-response patterns is essential for data interpretation.

the study addressed the issue of non-response through multiple contact attempts.

non-response can limit the generalizability of the findings.