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Effect of survey mode on response patterns: comparison of face-to-face and self-administered modes in health surveys
Open accessAbstract
BACKGROUND: While face-to-face interviews are considered the gold standard of survey modes, self-administered questionnaires are often preferred for cost and convenience. This article examines response patterns in two general population health surveys carried out by face-to-face interview and self-administered questionnaire, respectively. METHOD: Data derives from a health interview survey in the Region of Southern Denmark (face-to-face interview) and The Danish Health and Morbidity Survey 2010 (self-administered questionnaire). Identical questions were used in both surveys. Data on all individuals were obtained from administrative registers and linked to survey data at individual level. Multiple logistic regression analyses were used to examine the effect of survey mode on response patterns. RESULTS: The non-response rate was higher in the self-administered survey (37.9%) than in the face-to-face interview survey (23.7%). Marital status, ethnic background and highest completed education were associated with non-response in both modes. Furthermore, sex and age were associated with non-response in the self-administered mode. No significant mode effects were observed for indicators related to use of health services, but significant mode effects were observed for indicators related to self-reported health-related quality of life, health behaviour, social relations and morbidity (long-standing illness). CONCLUSIONS: The same factors were generally associated with non-response in both modes. Indicators based on factual questions with simple answers categories were overall more comparable according to mode than indicators based on questions that involved more subjective assessments. Other measures such as efficiency and cost-effectiveness of the mode should also be considered when determining the most appropriate form of data collection.
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Nonresponse bias is generally understood to be modest in face-to-face interview paradigms compared with other types of surveys.
“However, nonresponse bias, whereby respondents fail to respond to some or all questions, is generally understood to be modest in face-to-face interview paradigms compared with other types of surveys.2”
From Prevalence and Profile of High-Impact Chronic Pain in the United States (2019) · cites this paper as [2]
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Prevalence and Profile of High-Impact Chronic Pain in the United States
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Metadata
- Authors
- Christensen, A. I., Ekholm, O., Glümer, C., & Juel, K.
- Affiliations
- University of Southern Denmark (DK)
- Capital Region of Denmark (DK)
- Venue
- European Journal of Public Health
- Publisher
- Oxford University Press (OUP)
- Published
- 2013-06-11
- Volume
- 24
- Issue
- 2
- Pages
- 327-332
- ISSN
- 1101-1262 (ISSN-L)
- 1464-360X
- OpenAlex
- W2119821358
- Cited by
- 148
- References
- 30
- Citations by year
- 2026: 14 · 2025: 17 · 2024: 9 · 2023: 22 · 2022: 10 · 2021: 9 · 2020: 11 · 2019: 10 · 2018: 12 · 2017: 8 · 2016: 7 · 2015: 9 · 2014: 9
- FWCI
- 25.72
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- European Journal of Public Health (publishedVersion)
- PubMed (publishedVersion)
- VBN Forskningsportal (Aalborg Universitet) (submittedVersion)
- University of Southern Denmark Research Portal (University of Southern Denmark) (submittedVersion)
- Funders
- Syddansk Universitet
- Topics
- Social Sciences › Sociology and Political Science › Survey Methodology and Nonresponse
- Physical Sciences › Mathematics › Statistics and Probability › Survey Sampling and Estimation Techniques
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Health and Medical Studies
- Keywords
- survey mode, face-to-face interviews, self-administered questionnaire, nonresponse, response patterns, health survey, health-related quality of life, health behavior, morbidity, interpersonal relationships, mode effects, survey data collection
- MeSH terms
- Adolescent, Adult, Aged, Denmark, Female, Health Surveys, Humans, Interviews as Topic, Male, Middle Aged, Registries, Risk Factors, Self Report
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