Web Survey Bibliography
Title Survey mode effects in smoking status assessment
Author Burns, E., Levinson, A.
Year 2008
Access date 19.11.2008
Abstract
Background
Methods to receive telephone (n=200) or mail (n=443) follow-up at 7 months after callin the Colorado QuitLine in April or July 2007. The 31-item instrument addressed smoking, other tobacco use, and tobacco-related behaviors. The telephone protocol included 10 contact attempts, and the mail protocol included 3 attempts. Nonresponders to the initially assigned mode were re-attempted through the other mode.
Results
: Weighted demographic and smoker baseline characteristics were statistically similar between initial telephone and mail responders. Prevalence of 7-day smoking abstinence was 38.5% among initial telephone responders and 42.5% among initial mail responders (non-significant). When program completion and ethnicity were adjusted for by standardization, the non-significant difference in quit rates diminished to 40% vs. 40.5% for phone and mail respondents respectively. Early responders in both modes were more likely than late responders to report smoking abstinence (41.5% vs. 27.2%, p=0.01).Conclusion
: Smoking status estimates may differ when obtained by mail vs. phone surveys, however the differences appear to be due to differences in the population reached and can be adjusted for by standardization. Findings will help guide the design and methodological treatment of mixed-mode surveys for smoking status follow-up. : Follow-up surveys are widely used to assess smoking status and other tobacco-related indicators. Telephone is the conventional mode for quitline follow-up. Although mail or mixed modes might be less costly, these alternatives have not been assessed for comparability of results regarding smoking status. We conducted a pilot study of smoking status estimates obtained by mail vs. telephone.Year of publication2008
Bibliographic typeConferences, workshops, tutorials, presentations
Full text availabilityFurther details
Web survey bibliography (4086)
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- Web-Based Survey Methodology; 2017; Wright, K. B.
- Handbook of Research Methods in Health Social Sciences; 2017; Liamputtong, P.
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- Millennials and emojis in Spain and Mexico.; 2017; Bosch Jover, O.; Revilla, M.
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- Humanizing Cues in Internet Surveys: Investigating Respondent Cognitive Processes; 2017; Jablonski, W.; Grzeszkiewicz-Radulska, K.; Krzewinska, A.
- A Comparison of Emerging Pretesting Methods for Evaluating “Modern” Surveys; 2017; Geisen, E., Murphy, J.
- The Effect of Respondent Commitment on Response Quality in Two Online Surveys; 2017; Cibelli Hibben, K.
- Pushing to web in the ISSP; 2017; Jonsdottir, G. A.; Dofradottir, A. G.; Einarsson, H. B.
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- In search of best practices; 2017; Kappelhof, J. W. S.; Steijn, S.
- Redirected Inbound Call Sampling (RICS); A New Methodology ; 2017; Krotki, K.; Bobashev, G.; Levine, B.; Richards, S.
- An Empirical Process for Using Non-probability Survey for Inference; 2017; Tortora, R.; Iachan, R.
- The perils of non-probability sampling; 2017; Bethlehem, J.
- A Comparison of Two Nonprobability Samples with Probability Samples; 2017; Zack, E. S.; Kennedy, J. M.
- Rates, Delays, and Completeness of General Practitioners’ Responses to a Postal Versus Web-Based...; 2017; Sebo, P.; Maisonneuve, H.; Cerutti, B.; Pascal Fournier, J.; Haller, D. M.
- Necessary but Insufficient: Why Measurement Invariance Tests Need Online Probing as a Complementary...; 2017; Meitinger, K.
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- Theory and Practice in Nonprobability Surveys: Parallels between Causal Inference and Survey Inference...; 2017; Mercer, A. W.; Kreuter, F.; Keeter, S.; Stuart, E. A.
- Is There a Future for Surveys; 2017; Miller, P. V.
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- A Working Example of How to Use Artificial Intelligence To Automate and Transform Surveys Into Customer...; 2017; Neve, S.
- A Case Study on Evaluating the Relevance of Some Rules for Writing Requirements through an Online Survey...; 2017; Warnier, M.; Condamines, A.
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- Targeted letters: Effects on sample composition and item non-response; 2017; Bianchi, A.; Biffignandi, S.