Web Survey Bibliography
Title Assessing the Impact Device Choice Has on Web Survey Data Collection
Author Hupp, A.; Schroeder, H. M.; Piskorowski, A.D.
Source The American Association for Public Opinion Research () 69th Annual Conference, 2014The American Association for Public Opinion Research () 69th Annual Conference, 2014The American Association for Public Opinion Research (AAPOR) 69th Annual Conference, 2014
Year 2014
Access date 10.08.2016
Full text PDF (593kB)
Abstract
With the increasing prevalence and ease of accessing the Internet and email through one’s mobile device, it is important to assess the impact this method of access has on web survey data collection. 91% of Americans own a mobile device and 52% of them access their email in this manner (Pew, 2013). Therefore, it is becoming more common for potential respondents to view emailed survey requests on their mobile devices and in some cases they proceed directly to the survey. This paper focuses on issues surrounding web survey data collection in a population of primarily younger respondents. We assess the effort expended by both the survey organization to reach respondents and the effort needed by the respondent to complete the survey as impacted by respondent device choice. Survey organization effort is examined through average number and mode of contacts (calls and emails) necessary to reach a respondent and length of time in field. Respondent effort is assessed through number of sessions necessary to complete the interview, breakoffs, and interview length. We evaluate paradata and survey content from the fourth wave of a large study of mental health that investigates the risk and resilience of Soldiers in the US Army.
Access/Direct link Conference Homepage (abstract) / (full tex)
Year of publication2014
Bibliographic typeConferences, workshops, tutorials, presentations
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.