Web Survey Bibliography
Title Understanding Mobility: Consent and Capture of Geolocation Data in Web Surveys
Author Crawford, S. D.; McClain, C.; Young, R.H.; Nelson, T. F.
Year 2014
Access date 10.08.2016
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Abstract
The use of smartphones and tablets of various sizes and operating systems has posed numerous challenges for researchers, impacting survey response and data quality. Importantly, though, their use also provides opportunities to capture nuanced data helpful in understanding their impact. A key element of such device use is the mobility of the respondent; one may be in transit or in a public location while responding to a Web survey previously only completed on a computer. Thus far, little data has been collected to assess the impact of mobility on data quality. With these aims in mind, we report the findings of an experiment assessing feasibility of collecting geolocation from survey respondents, as well as the quality of data received. In doing so, we discuss implications for survey implem entation and measurement error in an increasingly mobile world.
Within a series of short web surveys of college students fielded in 2013, we assessed feasibility by asking respondents whether they would be willing to let researchers collect geolocation data in the future. Building off positive results from this analysis, we then experimentally tested methods of informed consent for geolocation capture. Respondents were randomly assigned to receive no request for geolocation, a request via the survey consent form, or a request via a separate question focusing only on this data capture. We captured geolocation data at every page of the survey for those consenting.
We will discuss the results of the experiment, laying out a recommendation for obtaining consent; comparing those who consented to those who did not; and assessing the quality of the geolocation data obtained. We will also present analyses examining how such information may be used in a broader context-- exploring whether or not the mobility of the respondent may be a key predictor in evaluating survey data quality.
Within a series of short web surveys of college students fielded in 2013, we assessed feasibility by asking respondents whether they would be willing to let researchers collect geolocation data in the future. Building off positive results from this analysis, we then experimentally tested methods of informed consent for geolocation capture. Respondents were randomly assigned to receive no request for geolocation, a request via the survey consent form, or a request via a separate question focusing only on this data capture. We captured geolocation data at every page of the survey for those consenting.
We will discuss the results of the experiment, laying out a recommendation for obtaining consent; comparing those who consented to those who did not; and assessing the quality of the geolocation data obtained. We will also present analyses examining how such information may be used in a broader context-- exploring whether or not the mobility of the respondent may be a key predictor in evaluating survey data quality.
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Year of publication2014
Web survey bibliography - 2014 (234)
- Detecting Insufficient Effort Responding with an Infrequency Scale: Evaluating Validity and Participant...; 2016; Huang, J. L.; Bowling, N. A.; Liu, Me.; Li, Yu.
- Evaluating Three Approaches to Statistically Adjust for Mode Effects; 2016; Kolenikov, S.; Kennedy, C.
- An Examination of Opposing Responses on Duplicated Multi-Mode Survey Responses; 2016; Djangali, A.
- Computer-assisted and online data collection in general population surveys; 2016; Skarupova, K.
- Usability of the ACS Internet Instrument on Mobile Devices; 2015; Horwitz, R.
- Explorations in Non - Probability Sampling Using the Web; 2015; Brick, J. M.
- On Bias Adjustments for Web Surveys; 2015; Fan, L.; Lou, W.; Landsman, V.
- Are they willing to use the web? First results of a possible switch from PAPI to CAPI/CAWI in an establishment...; 2015; Ellguth, P.; Kohaut, S.
- Web panel surveys – a challenge for official statistics; 2015; Svensson, J.
- Estimation with Non-probability Surveys and the Question of External Validity; 2015; Dever, J. A.; Valliant, R. L.
- Measurement Properties of Web Surveys; 2015; Tourangeau, R.
- Improving Response to Household Surveys Using Mail Contact to Request Responses over the Internet: Results...; 2015; Dillman, D. A.
- The quality of data collected using online panels: a decade of research ; 2015; Callegaro, M.
- Sub-optimal Respondent Behavior and Data Quality in Online Surveys; 2015; Thomas, R. K.
- Methodology of the RAND Mid-Term 2014 Election Panel; 2015; Carman, K. G; Pollack, S.
- Designing Bonsai Surveys: The small but perfectly formed survey experience to meet the needs of the...; 2015; Puleston, J.
- Suggestions for international research using electronic surveys; 2015; e Silva, S. C.; Duarte, P.
- Recruiting Respondents for a Mobile Phone Panel: The Impact of Recruitment Question Wording on Cooperation...; 2015; Busse, B.; Fuchs, M.
- 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,...
- The quality of responses to grid questions as used in Web questionnaires (compared with paper questionnaires...; 2015; Dominguez, J. A.; de Rada, V. D.
- Identifying predictors of survey mode preference; 2015; Millar, M. M.; Olson, K.; Smyth, J. D.
- The Impact of Mixing Modes on Reliability in Longitudinal Studies; 2014; Cernat, A.
- Growing Beyond the Phone Tree; 2014; Hayzlett, J.
- A Comparison of Different Online Sampling Approaches for Generating National Samples; 2014; Heen, M. S. J., Lieberman, J. D., Miethe, T. D.
- Does Sequence Matter in Multimode Surveys: Results from an Experiment; 2014; Wagner, J., Arrieta, J., Guyer, H., Ofstedal, M. B.
- The Use of Cognitive Interviewing Methods to Evaluate Mode Effects in Survey Questions; 2014; Gray, M., Blake, M., Campanelli, P.
- A Mixed Methods Approach to Network Data Collection; 2014; Rice, E., Holloway, I. W., Barman-Adhikari, A., Fuentes, D., Brown, C. H., Palinkas, L. A.
- Infliential Factors on Survey Outcomes: Length of Survey, Device Selection and Extrnal Elements; 2014; Ribeiro, E.
- The Effect of Mobile Web Survey Design on Screen Orientation Manipulation; 2014; Young, R.H.; Crawford, S. D.; Couper, M. P.; Nelson, T. F.
- Investigating Response Quality in Mobile and Desktop Surveys: A Comparison of Radio Buttons, Visual...; 2014; Toepoel, V.; Funke, F.
- Do online access panels really need to allow and adapt surveys to mobile devices? ; 2014; Revilla, M.; Toninelli, D.; Ochoa, C.; Loewe, G.
- Why you need to make your surveys mobile friendly NOW; 2014; Lorch, J.; Mitchell, N.
- Assessing the Impact Device Choice Has on Web Survey Data Collection ; 2014; Hupp, A.; Schroeder, H. M.; Piskorowski, A.D.
- Understanding Mobility: Consent and Capture of Geolocation Data in Web Surveys; 2014; Crawford, S. D.; McClain, C.; Young, R.H.; Nelson, T. F.
- Swipe, Snap & Chat: Mobile Survey Data Collection Using Touch Question Types and Mobile OS Features ; 2014; Buskirk, T. D.; Michaud, J.; Saunders, T.
- Statistical Approaches to Analyze Self-Reported Susceptibility to Driver Distraction; 2014; Chen, H-Y. W.; Donmez, B.; Ko, Y-D.
- Using Web Panels for Official Statistics; 2014; Bethlehem, J.
- The problem of non-response in population surveys on the topic of HIV and sexuality: a comparative study...; 2014; Wallander, L.; H.; Mannheimer, L. N.; Oestergren, P. O.; Plantin, L.Tikkanen, R. H.
- Does the Length of Fielding Period Matter? Examining Response Scores of Early Versus Late Responders; 2014; Dyer Yount, N.; Lewis, T.; Lee, K.; Sigman, R.
- FocusVision 2014 Annual MR Technology Report; 2014; Macer, T., Wilson, S.
- When it comes to mobile respondent experience and data quality, survey design matters; 2014; Mitchell, N.
- The Changing Landscape of Technology and its Effect on Online Survey Data Collection; 2014; Mitchell, N.
- Internet, Phone, Mail, and Mixed-Mode Surveys: The Tailored Design Method, 4th Edition; 2014; Dillman, D. A., Smyth, J. D., Christian, L. M.
- The survey playbook: how to create the perfect survey. (Vol.1); 2014; Champagne, M. V.
- Do your own online surveys. DYI and self serve market research; 2014; Cary, N.
- The Influence of Answer Box Format on Response Behavior on List-Style Open-Ended Questions; 2014; Keusch, F.
- Nonprobability Web Surveys to Measure Sexual Behaviors and Attitudes in the General Population: A Comparison...; 2014; Erens, B.; Burkill, S.; Couper, M. P.; C., Clifton, S., Tanton, C., Phelps, A., Datta, J., Mercer,...
- Luteal-phase support in assisted reproduction treatment: real-life practices reported worldwide by an...; 2014; Vaisbuch, E., de Ziegler, D., Leong, M., Shoham, Z., Weissman, A.
- Facebook, Twitter, & Qr Codes: An Exploratory Trial Examining The Feasibility Of Social Media Mechanisms...; 2014; Gu, L. L.
- Time-dependent variation in the responses to the web-based ISAAC questionnaire; 2014; Yoshida, K., Sasaki, M., Odajima, H., Itazawa, T., Hashimoto, K., Furukawa, M., Adachi, Y.