Web Survey Bibliography
Objective Interpretation of epidemiological studies on health effects from mobile phone use is hindered by uncertainties in the exposure assessment. We used a newly developed smartphone application (app) to validate self-reported mobile phone use and behaviour among adults.
Methods 107 participants (mean age 41.4 years) in the Netherlands either downloaded the software app on their smartphone or were provided with a study smartphone for 4 weeks. The app recorded the number and duration of calls, text messages, data transfer, laterality and hands-free use. Self-reported mobile phone use was collected before using the app and after 6 months through an interviewer-administered questionnaire.
Results The geometric mean ratios (GMR, 95% CI) and Spearman correlations (r) of self-reported (after 6 months) versus recorded number and duration of calls were: GMR=0.65 (0.53 to 0.80), r=0.53; and GMR=1.11 (0.86 to 1.42), r=0.57 respectively. Participants held the phone on average for 86% of the total call time near the head. Self-reported right side users held the phone for 70.7% of the total call time on the right side of the head, and left side users for 66.2% on the left side of the head. The percentage of total call time that the use of hands-free devices (headset, speaker mode, Bluetooth) was recorded increased with increasing frequency of reported hands-free device usage.
Discussion The observed recall errors and precision of reported laterality and hands-free use can be used to quantify and improve radiofrequency exposure models based on self-reported mobile phone use.
Web survey bibliography (4086)
- The art of asking survey questions; 2015; Grady, S., Johnson, S.
- Response Rates, Nonresponse Bias, and Data Quality: Results from a National Survey of Senior Healthcare...; 2015; Meterko, M.; Restuccia, J. D.; Stolzmann, K.; Mohr, D.; Brennan, C. W.; Glasgow, J.; Kaboli, P.
- An Introduction to Survey Research; 2015; Cowles, E. L.; Nelson, E.
- Suggestions for international research using electronic surveys; 2015; e Silva, S. C.; Duarte, P.
- Tailored fieldwork design to increase representative household survey response: an experiment in the...; 2015; Luiten, A.; Schouten, B.
- SSI Defines the Successful Mobile Survey Experience at ESOMAR; 2015
- Validity of Internet-Based Longitudinal Study Data: The Elephant in the Virtual Room; 2015; Pugh, C. A.; Summers, K. M.; Bronsvoort, M. C.; Handel, I. G.; Clements, D. N.
- Effects of Forced Responses and Question Display Styles on Web Survey Response Rates; 2015; Tangmanee, C.; Niruttinanon, P.
- Using virtual presence and survey instructions to minimize careless responding on Internet-based surveys...; 2015; Ward, M. K.; Pond III, S. B.
- Mixed-method feasibility study comparing the outpatient assessment of burn patients using a tablet device...; 2015; Mitchell, S. S.
- HUFFPOLLSTER: Pollsters Debate If Modern Surveys Can Be Trusted; 2015; Blumenthal, M.; Edwards-Levy, A.; Velencia, J.
- Using Internet to Recruit Immigrants with Language and Culture Barriers for Tobacco and Alcohol Use...; 2015; Carlini, B. H.; Safioti, L.; Rue, T. C.; Miles, L.
- An Updated Protocol to Detect Invalid Entries in an Online Survey of Men Who Have Sex with Men (MSM):...; 2015; A.; Konstan, J. A.; Iantaffi, A.; Wilkerson, J. M.; Galos, D; Rosser, B. R. S.Grey, J. A.
- Online Recruitment Methods for Web-Based and Mobile Health Studies: A Review of the Literature; 2015; Lane, T. S.; Armin, J.; Gordon, Ju. S.
- iTunes Song-Gifting is a Low-Cost, Efficient Recruitment Tool to Engage High-Risk MSM in Internet Research...; 2015; Holland, C. M.; Ritchie, N. D.; Du Bois, S. N.
- Comparing the Similarity of Responses Received from Studies in Amazon’s Mechanical Turk to Studies...; 2015; Bartneck, C.; Duenser, A.; Moltchanova, E.; Zawieska, K.
- Challenges with Online Research for Couples and Families: Evaluating Nonrespondents and the Differential...; 2015; Busby, D. M.; Yoshida, Ke.
- A Note on the Use of Survey Research Firms to Enable Empirical Data Collection; 2015; Schoenherr, T.; Ellram, L. M.; Tate, W. L.
- Ethical issues in online research; 2015; James, N.; Busher, H.
- Circumventing Nonresponse - Upgrading Traditional Company Survey Data with Unobtrusive Data from Company...; 2015; Rasmussen, K. B.Thimm, H.
- Recruiting Online: Lessons From a Longitudinal Survey of Contraception and Pregnancy Intentions of Young...; 2015; Harris, M. L.; Loxton, D.; Wigginton, B.; Lucke, J. C.
- Calendar Instruments in Retrospective Web Surveys; 2015; Glasner, T.; van der Vaart, W.; Dijkstra, W.
- Gamification in market research: Increasing enjoyment, participant engagement and richness of data,...; 2015; Bailey, P.; Pritchard, G.; Kernohan, H.
- Survey Informatics: The Future of Survey Methodology and Survey Statistics Training in the Academy?; 2015; McCutcheon, A. L.
- Recruiting Respondents for a Mobile Phone Panel: The Impact of Recruitment Question Wording on Cooperation...; 2015; Busse, B.; Fuchs, M.
- Recruiting for addiction research via Facebook; 2015; Thornton, L. K.; Harris, K.; Baker, A.; Johnson, M.; Kay-Lambkin, F. J.
- Respondent Screening and Revealed Preference Axioms: Testing Quarantining Methods for Enhanced Data...; 2015; Jones, M. S.; House, L. A.; Zhifeng, G.
- Can a non-probabilistic online panel achieve question quality similar to that of the European Social...; 2015; Revilla, M.; Saris, W. E.; Loewe, G.; Ochoa, C.
- Exploring the Effects of Removing "Too Fast" Responses and Respondents from Web Surveys; 2015; Greszki, R.; Meyer, M.; Schoen, H.
- Response Rates for Patient-Reported Outcomes Using Web-Based Versus Paper Questionnaires: Comparison...; 2015; Horevoorts, N. J.; Vissers, P. A. J.; Mols, F.; Thong, M. S. Y.; van de Poll-Franse, L. V.
- Mode Effects in Mixed-Mode Economic Surveys: Insights from a Randomized Experiment; 2015; Hsu, J. W.; McFall, B. H.
- The effect of multiple reminders on response patterns in a Danish health survey; 2015; Christensen, A. I.; Ekholm, O.; Kristensen, P. L.; Larsen, F. B.; Vinding, A. L.; Gluemer, C.; Juel,...
- Innovative Recruitment Using Online Networks: Lessons Learned From an Online Study of Alcohol and Other...; 2015; Bauermeister, J. A.; Zimmerman, M. A.; Johns, M. M.; Glowacki, P. F.; Stoddard, S. A.; Volz, E. M.
- The best times to call in a mobile phone survey; 2015; Vicente, P.
- Yes-no answers versus check-all in self-administered modes ; 2015; Callegaro, M.; Henderson, V.; Murakami, M.; Tepman, Z.
- Validating self-reported mobile phone use in adults using a newly developed smartphone application; 2015; Goedhart, G., Kromhout, H., Wiart, J., Vermeulen, R.
- Use of Internet panels to conduct surveys; 2015; Kapteyn, A.; Liu, H., D.Hays, R. D.
- The quality of responses to grid questions as used in Web questionnaires (compared with paper questionnaires...; 2015; Dominguez, J. A.; de Rada, V. D.
- Going Online with a Face-to-Face Household Panel: Effects of a Mixed Mode Design on Item and Unit Non...; 2015; Burton, J.; Jaeckle, A.; Lynn, P.
- The comparison of mobile devices to computers for web-based assessments; 2015; Huff, K. C.
- Face-to-Face or Sequential Mixed-Mode Surveys Among Non-Western Minorities in the Netherlands: The Effect...; 2015; Kappelhof, J.
- The Influence of the Answer Box Size on Item Nonresponse to Open-Ended Questions in a Web Survey ; 2015; Zuell, C.; Menold, N.; Koerber, S.
- What are the Links in a Web Survey Among Response Time, Quality, and Auto-Evaluation of the Efforts...; 2015; Revilla, M.; Ochoa, C.
- Comparing a Cell Phone Survey and a Web Survey of University Students ; 2015; Couper, M. P.; Kim, S.; Woo, Y.
- Impact of mixed modes on measurement errors and estimates of change in panel data; 2015; Cernat, A.
- Identifying predictors of survey mode preference; 2015; Millar, M. M.; Olson, K.; Smyth, J. D.
- Tips for Creating Web Surveys for Completion on a Mobile Device; 2015; McGeeney, K.
- Probabilistic Web Survey Methodology in Education Centers: An Example in Spanish Schools; 2015; Tapia, J. A., Menendez, J. A.
- Understanding Participation in a Web-Based Measurement Burst Design: Response Metrics and Predictors...; 2015; Griffin, J., Patrick, M. E.
- Rating Scales in Survey Research: Using the Rasch model to illustrate the middle category measurement...; 2015; Bradley, K. D., Peabody, M. R., Akers, K. S., Knutson, N. M.