Non-response problem in health surveys
Social Determinants of Health,
Vol. 10 (2024),
1 Dey 2024
,
Page 1-5
https://doi.org/10.22037/sdh.v10i1.45236
Abstract
The impact of non-participation in surveys depends on how many people don't respond and the extent to which those who don't differ from those who do on key questions. In health research, non-participation can skew results, affecting our understanding of disease and healthcare needs. Understanding why people don't respond to surveys is crucial for accurately gauging health issues. Despite the popularity of surveys in health research, the problem of non-response bias persists due to low response rates. This paper explores various methods, their strengths, and weaknesses, to address non-response issues in health surveys.
- Bias
- Health Surveys
- Research Design
How to Cite
References
Julian Baim, Martin Frankel, Joe Agresti, Jim Collins, Risa Becker and Van Podberesky. “Alternative Statistical Techniques to Address Non-Response Bias.”. Available from: https://www.pdrf.net/wp-content/uploads /2015/10/21_Syn13 BaimAlternative-StatisticalSess3 _ final.pdf
Daniel K. “Measurement error in household surveys: sources and measurement”. Available from: https:// unstats. un.org /unsd / hhsurveys /pdf/Household_ surveys.pdf
C.E. Sarndal and S. Lundstrom. “Estimation in Surveys with Nonresponse”. England: John Wiley & Sons Ltd, 2005.
Politz, Alfred and Willard Simmons. “An Attempt to Get the Not-At -Homes into the Sample Without Callbacks.” Journal of the American Statistical Association (1949) 44:9-32.
Hansen, M. H. and Hurwitz, W. N., "The Problem of Non-response in Sample Surveys," Journal of the American Statistical Association, Vol. 41, (1946), pp. 517-529.
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