Advanced search
1 file | 692.91 KB

Association between variables used in the field substitution and post-stratification adjustment in the Belgian health interview survey and non-response

Author
Organization
Abstract
Field substitution and post-stratification adjustment have been proposed to reduce non-response bias in population surveys. We investigated if variables involved in those techniques in the Belgian health interview survey 2004 are associated with non-response and assessed the impact of field substitution and post-stratification adjustment on the survey results. Data were obtained from all selected households (n = 12.204). The association between non-response and the selected variables was explored through multilevel logistic regression models with municipality and statistical sector as random effects. All investigated variables were significantly related with non-response. Especially households that could not be contacted differed substantially from those who participated. Only post-stratification had a clear impact on the survey results. Even if variables used in the field substitution procedure of health surveys are strongly associated with non-response, the impact of field substitution on the survey results may be minimal, either because there was no bias of relevance or it was not captured. The usefulness of field substitution to correct for non-response bias in population health surveys seems to be quite limited.
Keywords
Survey methodology, Health interview survey, Non-response bias, Field substitution, Post-stratification, MULTILEVEL LOGISTIC-REGRESSION, BIAS, PARTICIPATION

Downloads

  • (...).pdf
    • full text
    • |
    • UGent only
    • |
    • PDF
    • |
    • 692.91 KB

Citation

Please use this url to cite or link to this publication:

Chicago
Van Der Heyden, Johan, Stefaan Demarest, Koen Van Herck, Dirk De Bacquer, Jean Tafforeau, and Herman Van Oyen. 2014. “Association Between Variables Used in the Field Substitution and Post-stratification Adjustment in the Belgian Health Interview Survey and Non-response.” International Journal of Public Health 59 (1): 197–206.
APA
Van Der Heyden, J., Demarest, S., Van Herck, K., De Bacquer, D., Tafforeau, J., & Van Oyen, H. (2014). Association between variables used in the field substitution and post-stratification adjustment in the Belgian health interview survey and non-response. INTERNATIONAL JOURNAL OF PUBLIC HEALTH, 59(1), 197–206.
Vancouver
1.
Van Der Heyden J, Demarest S, Van Herck K, De Bacquer D, Tafforeau J, Van Oyen H. Association between variables used in the field substitution and post-stratification adjustment in the Belgian health interview survey and non-response. INTERNATIONAL JOURNAL OF PUBLIC HEALTH. 2014;59(1):197–206.
MLA
Van Der Heyden, Johan, Stefaan Demarest, Koen Van Herck, et al. “Association Between Variables Used in the Field Substitution and Post-stratification Adjustment in the Belgian Health Interview Survey and Non-response.” INTERNATIONAL JOURNAL OF PUBLIC HEALTH 59.1 (2014): 197–206. Print.
@article{4307291,
  abstract     = {Field substitution and post-stratification adjustment have been proposed to reduce non-response bias in population surveys. We investigated if variables involved in those techniques in the Belgian health interview survey 2004 are associated with non-response and assessed the impact of field substitution and post-stratification adjustment on the survey results. 
Data were obtained from all selected households (n = 12.204). The association between non-response and the selected variables was explored through multilevel logistic regression models with municipality and statistical sector as random effects. 
All investigated variables were significantly related with non-response. Especially households that could not be contacted differed substantially from those who participated. Only post-stratification had a clear impact on the survey results. 
Even if variables used in the field substitution procedure of health surveys are strongly associated with non-response, the impact of field substitution on the survey results may be minimal, either because there was no bias of relevance or it was not captured. The usefulness of field substitution to correct for non-response bias in population health surveys seems to be quite limited.},
  author       = {Van Der Heyden, Johan and Demarest, Stefaan and Van Herck, Koen and De Bacquer, Dirk and Tafforeau, Jean and Van Oyen, Herman},
  issn         = {1661-8556},
  journal      = {INTERNATIONAL JOURNAL OF PUBLIC HEALTH},
  language     = {eng},
  number       = {1},
  pages        = {197--206},
  title        = {Association between variables used in the field substitution and post-stratification adjustment in the Belgian health interview survey and non-response},
  url          = {http://dx.doi.org/10.1007/s00038-013-0460-7},
  volume       = {59},
  year         = {2014},
}

Altmetric
View in Altmetric
Web of Science
Times cited: