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 - The American Association for Public Opinion Research (AAPOR) 69th Annual Conference, 2014 (20)
- Investigating Response Quality in Mobile and Desktop Surveys: A Comparison of Radio Buttons, Visual...; 2014; Toepoel, V.; Funke, F.
- 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.
- Instant Interactive Feedback in Grid Questions: Reminding Web Survey; 2014; Kunz, T., Fuchs, M.
- What Does the Satisfaction with Democracy Measure Mean to Respondents in Different Countries? How Cross...; 2014; Behr, D., Braun, M.
- Using Eye Tracking to Evaluate Email Notifications of Surveys and Online Surveys Collecting Address...; 2014; Olmsted, E. L., Nichols, E. M.
- Respondent Processing of Multiple Images throughout a Web Survey; 2014; Charoenruk, N., Stange, M.
- Using Eye Tracking to Examine the Visual Design of Web Surveys; 2014; Zhou, Q., Ricci, K., Olson, K., Smyth, J. D.
- Achieving Balance: Understanding the Relationship between Complexity and Response Quality; 2014; Kirchner, A., Powell, R.
- Question Grouping and Matrices in Web Surveys: Using Response and Auxiliary Data to Examine Question...; 2014; Bilgen, I., Stern, M. J.
- The Grouping of Items in Mobile Web Surveys; 2014; Mavletova, A. M., Couper, M. P.
- Evaluating the Efficacy of Mixed-Mode Intercept Surveys for Complex Questionnaires; 2014; Puniello, O. T.
- Experiments with Email Formatting; 2014; Lawrence, S., Phillips, B. T.
- Sequential or Simultaneous Multi-Mode? Results from Two Large Surveys of Electric Utility Consumers; 2014; Jackson, C., Ledoux, C.
- Correlates of Attrition in the German Internet Panel: Drop-Outs and Sleepers; 2014; Blom, A. G., Beissel-Durrant, G.
- Survey Breakoff in Online Panels; 2014; McCutcheon, A. L.
- Measuring Nonresponse Bias in Web Surveys: The Role of Health Status; 2014; Zhang, M.
- Providing a Deadline for Response: Results from Two Recent Experiments; 2014; Kaiser, A., Walston, J. T., Medway, R., Ye, C., Tourangeau, R.
- Respondents Playing Fast and Loose?: Antecedents and Consequences of Respondent Speed of Completion; 2014; Thomas, R. K., Barlas, F. M.
- A Glimpse Inside the Mind of a Respondent: Using Paradata to Improve Online Surveys; 2013; Pape, T.; Barron, S.