Related Experiment Video
Updated: May 30, 2026

'Boden Food Plate': Novel Interactive Web-based Method for the Assessment of Dietary Intake
Published on: September 18, 2018
Non-response bias in a web-based health behaviour survey of New Zealand tertiary students
Kypros Kypri1, Ari Samaranayaka, Jennie Connor
1School of Medicine and Public Health, University of Newcastle, Callghan, Australia. kypros.kypri@newcastle.edu.au
Objective:
There has been little investigation of non-response bias in web-based health surveys. We hypothesised that non-respondents have a higher prevalence of risk behaviours than respondents.
Method:
In 2005, random samples of students aged 17-25 years from 12 New Zealand tertiary institutions (n=7130) were invited to complete a web-based health behaviour survey, with three e-mail reminders. Early respondents (before 2nd reminder) were compared with late respondents (after 2nd reminder). Late respondents served as a proxy for non-respondents.
Results:
2607 students (37%) responded early, 676 (9%) responded late, and 3847 (54%) did not respond. There were differences between early and late respondents in high school binge drinking (38% vs 47%, p=0.002) and non-compliance with physical activity guidelines (12% vs 18%, p=0.004). Differences in overweight/obesity (26% vs 31%, p=0.058), smoking (18% vs 22%, p=0.091) and non-compliance with dietary guidelines (76% vs 77%, p=0.651) were non-significant but point estimates were in the expected direction. Estimated bias in prevalence of risk behaviours was an absolute difference of 1-4% and a relative difference of 0-21%.
Conclusion:
Respondents whose participation was hardest to elicit reported more risk behaviour. Assuming non-respondents' behaviour is similar or more extreme than that of late respondents, prevalence will have been substantially underestimated.
Related Concept Videos
Surveys
Cross-Sectional Research
Longitudinal Research
Bias in Epidemiological Studies
Study Designs in Epidemiology
Observational studies are those where the researcher does not intervene but rather observes natural variations. They include cross-sectional, cohort, and case-control studies.
Group Design