Web Survey Bibliography
Background: Although we know a great deal about the percentage of youth who drink alcohol, we know very little about the specific brands they choose to drink. This information gap needs to be addressed if public health officials are to develop more effective interventions. Unfortunately, there are no national youth surveys that collect data on alcohol brand consumption. In this paper, we describe the development and pilot testing of what we believe to be the first comprehensive, Internet-based youth survey of brand-specific alcohol use.
Methods: We used online advertising in 3 U.S. cities to recruit a convenience sample of 241 respondents, ages 16 to 18 years. We used Craigslist, a network of online communities that features local classified advertisements, to recruit the sample. We used SurveyGizmo, an online software program for designing Internet surveys, collecting data, and performing basic analysis, to survey these respondents about their brand-specific alcohol consumption patterns. The survey instrument assessed each respondent’s 30-day drinking history, including the frequency of consumption for each alcohol brand.
Results: Using Internet survey technology, we were able to collect information on 366 brands and still have respondents complete the instrument quickly and easily. The total number of brands consumed in the past 30 days ranged from 1 to 18, with a median of 4 brands. The top 5 brands consumed were beer brands, as were eleven of the top 15 brands. The remaining 4 brands in the top 15 included 3 brands of flavored alcoholic beverages and 1 brand of mixed drink. Among the top 15 alcohol brands consumed during heavy drinking episodes were 8 brands of beer, 4 brands of flavored alcoholic beverages, 2 brands of wine, and 1 brand of mixed drink.
Conclusions: This pilot study helps establish the feasibility of including brand-specific questions on federal or other national youth alcohol surveys.
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Web survey bibliography (364)
- Displaying Videos in Web Surveys: Implications for Complete Viewing and Survey Responses; 2017; Mendelson, J.; Lee Gibson, J.; Romano Bergstrom, J. C.
- Usability Testing for Survey Research; 2017; Geisen, E.; Romano Bergstrom, J. C.
- Where, When, How and with What Do Panel Interviews Take Place and Is the Quality of Answers Affected...; 2017; Niebruegge, S.
- Nonresponses as context-sensitive response behaviour of participants in online-surveys and their relevance...; 2017; Wetzlehuetter, D.
- Do distractions during web survey completion affect data quality? Findings from a laboratory experiment...; 2017; Wenz, A.
- Predicting Breakoffs in Web Surveys; 2017; Mittereder, F.; West, B. T.
- Comparing acquiescent and extreme response styles in face-to-face and web surveys; 2017; Liu, M.; Conrad, F. G.; Lee, S.
- Respondent mode choice in a smartphone survey ; 2017; Conrad, F. G., Schober, M. F., Antoun, C., Yan, H. Y., Hupp, A., Johnston, M., Ehlen, P., Vickers, L...
- Effects of Mobile versus PC Web on Survey Response Quality: a Crossover Experiment in a Probability...; 2017; Antoun, C.; Couper, M. P.; G. G.Conrad, F. G.
- Methods for Evaluating Respondent Attrition in Web-Based Surveys; 2016; Hochheimer, C. J.; Sabo, R. T.; Krist, A. H.; Day, T.; Cyrus, J.; Woolf, S. H.
- Mobile-only web survey respondents; 2016; Lugtig, P. J.; Toepoel, V.; Amin, A.
- Using official surveys to reduce bias of estimates from nonrandom samples collected by web surveys; 2016; Beresovsky, V.; Dorfman, A.; Rumcheva, P.
- Making use of Internet interactivity to propose a dynamic presentation of web questionnaires; 2016; Revilla, M.; Ochoa, C.; Turbina, A.
- Helping respondents provide good answers in Web surveys; 2016; Couper, M. P.; Zhang, C.
- Gamifying. Not all fun and games; 2016; Stubington, P.; Crichton, C.
- FocusVision 2015 Annual MR Technology Report; 2016; Macer, T., Wilson, S.
- Are sliders too slick for surveys?; 2016; Buskirk, T. D.
- Research gamification for quality pharmaceutical stakeholder insights; 2016; Mondry, B.; Fink, L.
- SurveyTester from Knowledge Navigators ; 2016; Macer, T.
- Simplifying your mobile solution; 2016; Berry, K.
- Effects of motivating question types with graphical support in multi channel design studies; 2016; Luetters, H.; Friedrich-Freksa, M.; Vitt, SGoldstein, D. G.
- Why Do Web Surveys Take Longer on Smartphones?; 2016; Couper, M. P.; J. J.Peterson, G. J.
- Usability Testing within Agile Process; 2016; Holland, T.
- Association of Eye Tracking with Other Usability Metrics ; 2016; Olmsted, E. L.
- Cognitive Probing Methods in Usability Testing – Pros and Cons; 2016; Nichols, E. M.
- Thinking Inside the Box Visual Design of the Response Box Affects Creative Divergent Thinking in an...; 2016; Mohr, A. H.; Sell, A.; Lindsay, T.
- Distractions: The Incidence and Consequences of Interruptions for Survey Respondents ; 2016; Ansolabehere, S.; Schaffner, B. F.
- The Effect of CATI Questions, Respondents, and Interviewers on Response Time; 2016; Olson, K.; Smyth, J. D.
- New Generation of Online Questionnaires?; 2016; Revilla, M.; Ochoa, C.; Turbina, A.
- The Analysis of Respondent’s Behavior toward Edit Messages in a Web Survey; 2016; Park, Y.
- Effects of Data Collection Mode and Response Entry Device on Survey Response Quality; 2016; Ha, L.; Zhang, Che.; Jiang, W.
- Navigation Buttons in Web-Based Surveys: Respondents’ Preferences Revisited in the Laboratory; 2016; Romano Bergstrom, J. C.; Erdman, C.; Lakhe, S.
- Online Surveys are Mixed-Device Surveys. Issues Associated with the Use of Different (Mobile) Devices...; 2016; Toepoel, V.; Lugtig, P. J.
- A Technical Guide to Effective and Accessible web Surveys; 2016; Baatard, G.
- The Validity of Surveys: Online and Offline; 2016; Wiersma, W.
- Computer-assisted and online data collection in general population surveys; 2016; Skarupova, K.
- A Framework of Incorporating Thai Social Networking Data in Online Marketing Survey; 2016; Jiamthapthaksin, R.; Aung, T. H.; Ratanasawadwat, N.
- Creation and Usability Testing of a Web-Based Pre-Scanning Radiology Patient Safety and History Questionnaire...; 2016; Robinson, T. J.; DuVall, S.; Wiggins III, R
- Comprehension and engagement in survey interviews with virtual agents; 2016; Conrad, F. G.; Schober, M. F.; Jans, M.; Orlowski, R. A.; Nielsen, D.; Levenstein, R. M.
- Taming Big Data: Using App Technology to Study Organizational Behavior on Social Media; 2015; Bail, C. A.
- A Meta-Analysis of Breakoff Rates in Mobile Web Surveys; 2015; Mavletova, A. M.; Couper, M. P.
- Optimizing the Decennial Census for Mobile – A Case Study; 2015; Nichols, E. M.; Hawala, E. O.; Horwitz, R.; Bentley, M.
- Using Video to Reinvigorate the Open Question; 2015; Cape, P.
- Are Sliders Too Slick for Surveys? An Experiment Comparing Slider and Radio Button Scales for Smartphone...; 2015; Aadland, D.; Aalberg, T.
- Web Surveys Optimized for Smartphones: Are there Differences Between Computer and Smartphone Users?; 2015; Andreadis, I.
- Designing web surveys for the multi-device internet; 2015; de Bruijne, M.
- Data Quality Standards in Mixed Mode Surveys; 2015; Bremer, J.; Barbulescu, M.; Bennett, J.
- Changing from CAPI to CAWI in an ongoing household panel - experiences from the German Socio-Economic...; 2015; Schupp, J.; Sassenroth, D.
- Rating Scales in Web Surveys: A Test of New Drag-and-Drop Rating Procedures; 2015; Kunz, T.
- A Review of Issues in Gamified Surveys; 2015; Keusch, F.; Zhang, Che.