Web Survey Bibliography
Title The Effect of Mobile Web Survey Design on Screen Orientation Manipulation
Author Young, R.H.; Crawford, S. D.; Couper, M. P.; Nelson, T. F.
Year 2014
Access date 16.08.2016
Presentation PDF (1,33 MB)
Abstract
Respondents are using mobile devices to complete web surveys whether we want them to or not. Because most web surveys are designed for larger screens, data quality may suffer, though little evidence exists to demonstrate whether or not this is the case. With on-board accelerometers, mobile devices can capture paradata to give us insight into respondent behavior.
To better evaluate whether specific web survey design features cause respondents to change how they hold their device we captured screen orientation, among other paradata. The assumption is that if the respondent rotates the device, it is to better view the survey. Capturing this information on a page-by-page basis throughout a survey provided sufficient data to understand if an orientation change (and change back) may have resulted from particular designs -- such as grid formatted questions.
We captured this paradata over multiple waves (of varying questionnaire length) to a college student survey fielded between mid-2013 and early 2014. While the survey was initially designed for larger screens, elements of mobile optimization were included for respondents accessing from a smartphone. In initially comparing optimized versus non-optimized designs, we see a significantly higher rate of respondents using landscape orientation on the non-optimized survey (approx. 20%) versus those on the optimized surveys (approx. 1%).
We will describe the respondent experience across multiple survey implementations, and we will discuss our hypotheses and further unveil the data that we have collected. Where possible, we will evaluate the data provided for quality (item missing data, breakoff, etc.) and will include device type and other interrelated variables in our analyses.
To better evaluate whether specific web survey design features cause respondents to change how they hold their device we captured screen orientation, among other paradata. The assumption is that if the respondent rotates the device, it is to better view the survey. Capturing this information on a page-by-page basis throughout a survey provided sufficient data to understand if an orientation change (and change back) may have resulted from particular designs -- such as grid formatted questions.
We captured this paradata over multiple waves (of varying questionnaire length) to a college student survey fielded between mid-2013 and early 2014. While the survey was initially designed for larger screens, elements of mobile optimization were included for respondents accessing from a smartphone. In initially comparing optimized versus non-optimized designs, we see a significantly higher rate of respondents using landscape orientation on the non-optimized survey (approx. 20%) versus those on the optimized surveys (approx. 1%).
We will describe the respondent experience across multiple survey implementations, and we will discuss our hypotheses and further unveil the data that we have collected. Where possible, we will evaluate the data provided for quality (item missing data, breakoff, etc.) and will include device type and other interrelated variables in our analyses.
Access/Direct link Conference Homepage (abstract) / (full tex)
Year of publication2014
Bibliographic typeConferences, workshops, tutorials, presentations
Web survey bibliography (364)
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- 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.
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- 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.
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- Gamifying. Not all fun and games; 2016; Stubington, P.; Crichton, C.
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- 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.