2015
DOI: 10.3109/0142159x.2015.1105945
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Improving response rates and evaluating nonresponse bias in surveys: AMEE Guide No. 102

Abstract: Robust response rates are essential for effective survey-based strategies. Researchers can improve survey validity by addressing both response rates and nonresponse bias. In this AMEE Guide, we explain response rate calculations and discuss methods for improving response rates to surveys as a whole (unit nonresponse) and to questions within a survey (item nonresponse). Finally, we introduce the concept of nonresponse bias and provide simple methods to measure it.

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Cited by 208 publications
(211 citation statements)
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“…Baseline characteristics of responders and non responders were not significantly different, making response bias unlikely. [40]…”
Section: Discussionmentioning
confidence: 99%
“…Baseline characteristics of responders and non responders were not significantly different, making response bias unlikely. [40]…”
Section: Discussionmentioning
confidence: 99%
“…Given that 6,120 were randomly selected from among 8,000 potential participants, demonstration that 484 responses were representative and not associated with bias was undertaken applying non response analysis. Wave analysis 27 as the surrogate approach for analyzing non-response was applied, comparing responses of participants across both demographic and topical domains of the survey differentiated by temporality of the response. No statistically significant difference was detected among the survey responses between surveys distributed in the initial mailing and those distributed in subsequent mailing, reflecting no detection of bias.…”
Section: Discussionmentioning
confidence: 99%
“…To avoid non-response bias, we made attempts to enhance the response rate by offering financial incentives, sending frequent reminders, and using diverse formats – paper-based and online-based surveys – as suggested by Phillips et al [12]. …”
Section: Methodsmentioning
confidence: 99%