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Improving response rates through incentive and follow-up: The effect on a survey of physicians' knowledge of genetics

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Listed:
  • Tambor, E.S.
  • Chase, G.A.
  • Faden, R.R.
  • Geller, G.
  • Hofman, K.J.
  • Holtzman, N.A.

Abstract

Objectives. This study assessed efforts to increase response rates to a mailed physician survey and examined whether, as a result, nonresponse bias was reduced. Methods. Randomly selected physicians and geneticists were mailed a questionnaire concerning genetics knowledge and attitudes. In the final but not the pilot survey, a $25 incentive and intensive follow-up were used to increase the response rate. Results. The response rate from physicians in the final survey was 64.8% (n = 1140), compared with 19.6% in the pilot test (n = 69). Sample representativeness in sociodemographic and practice characteristics was improved by follow-up. Respondents recruited with more difficulty did not differ on the principal outcome variable, genetics knowledge, except on one subscore. Pilot study and final survey respondents did not differ in knowledge. Conclusions. Although the effect of increased response rates on the principal outcome variable in this study was minimal, this may not be the case for other studies. Every effort should be made to attain as high a response rate as is practical and to establish that respondents are representative of the population being sampled.

Suggested Citation

  • Tambor, E.S. & Chase, G.A. & Faden, R.R. & Geller, G. & Hofman, K.J. & Holtzman, N.A., 1993. "Improving response rates through incentive and follow-up: The effect on a survey of physicians' knowledge of genetics," American Journal of Public Health, American Public Health Association, vol. 83(11), pages 1599-1603.
  • Handle: RePEc:aph:ajpbhl:1993:83:11:1599-1603_4
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    Cited by:

    1. John F. Riggs & Dena Hale & Scott Widmier & Sonya Tidwell-Riggs, 2023. "Randomized, Multicenter, Parallel-Arm (RMPA) research trial design: a potential solution to survey length, response rate and data quality in social science research," Journal of Marketing Analytics, Palgrave Macmillan, vol. 11(4), pages 577-586, December.

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