Why is calculating survey response rate so important and how is it determined?
The calculation of Response Rate (RR) is often inconsistent across research studies because each study may use its own definition. There are so many ways of calculating response rates that comparison across survey research studies can result in confusion and misinterpretations. In order to make practical comparisons across different research studies, it is important to standardize the calculation of response rate.
Consider adopting the calculations as defined by the Standard Definitions: Final Dispositions of Case Codes and of Outcome Rates for Surveys (American Association for Public Opinion Research, Revised 2011) and the various other response calculations, as shown below. Abbreviated terms include: I = Complete survey, P = Partial survey, R = Refusal and break-off, NC = Non-contact, O = Other, UH = Unknown if household/occupied housing unit, UO = Unknown, other, e = Estimated proportion of cases of unknown eligibility that are eligible. Continue reading