Impact of differential response rates on the quality of data collected in the CTS physician survey.

Abstract:

:Survey administrators face trade-offs between expending additional survey resources to maximize response rates versus using fewer resources and accepting lower response rates. Using data from the Community Tracking Study's Physician Survey, we examined how survey estimates and data quality changed as additional respondents completed the survey. Results showed that improvements in response rates over the range examined (i.e., up to 65%) did not change estimates appreciably nor affect data quality. As long as these results are not overstated to imply that extremely low response rates are credible, this study may permit researchers to disseminate interesting results in peer-reviewed journals even when the response rate falls slightly short of current standards. It must also be emphasized, however, that we were unable to measure the nonresponse effect of those who were never interviewed. Achieving a response rate significantly above 65% might have changed the survey results appreciably.

journal_name

Eval Health Prof

authors

Schoenman JA,Berk ML,Feldman JJ,Singer A

doi

10.1177/0163278702250077

subject

Has Abstract

pub_date

2003-03-01 00:00:00

pages

23-42

issue

1

eissn

0163-2787

issn

1552-3918

journal_volume

26

pub_type

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