ÌÇÐÄ´«Ã½

Skip to main content
 
Notice: Users may be experiencing issues with displaying some pages on stanfordhealthcare.org. We are working closely with our technical teams to resolve the issue as quickly as possible. Thank you for your patience.
ÌÇÐÄ´«Ã½

An example of maximizing survey return rates - Methodological issues for health professionals

ÌÇÐÄ´«Ã½

An example of maximizing survey return rates - Methodological issues for health professionals EVALUATION & THE HEALTH PROFESSIONS Gore-Felton, C., Koopman, C., Bridges, E., Thoresen, C., Spiegel, D. 2002; 25 (2): 152-168

Abstract

Obtaining a high response rate in survey ÌÇÐÄ´«Ã½ can bolster statistical power, reduce sampling error, and enhance the generalizability of the results to the population surveyed. We describe a mail survey designed to achieve a high return rate of completed questionnaires from members of the American Psychological Association who were engaged in clinical practice. We adapted the Total Design Method for survey ÌÇÐÄ´«Ã½ and were able to achieve a high response rate (68%) among health professionals. This was not an experiment in which we assessed the best method to increase survey response rates, hence we cannot empirically evaluate how each of the steps influenced our overall response rate. Future ÌÇÐÄ´«Ã½ is needed to identify the relative effectiveness of each of these principles in enhancing survey response rates. Research is also needed to distinguish general principles that apply across populations from those that must be tailored to specific subpopulations.

View details for

View details for