Web Survey Bibliography
Title Beyond the Survey: Improving Data Insights and User Experience with Mobile Devices
Author Graham, P.; Lew, G.
Year 2016
Access date 09.06.2016
Abstract
Social science and commercial researchers rely on surveys to ask people questions so that attitudes and behaviors are inferred from self-reported responses. Yet response rates decline, frames are difficult to sample, people cannot remember depth of their digital behavior and attention spans diminish while survey research consumer need holistic information. Devices people use provide opportunities to address these persistent issues with less intrusiveness on experience. Roughly 30% of US web surveys are completed on a mobile device and these participants can tell us more than asking questions can provide! The authors present addition
al uses of mobile technology to provide information beyond what is traditionally gathered in surveys. We provide two case studies to illuminate not only what to do to gather these new forms of information, but also the mechanics of collecting the data. These case studies use multi-media and passive monitoring that will be shown to provide additional information about populations of interest in less intrusive and more engaging ways. The passive monitoring case study empirically illustrates the depth of behavior obtained to fully understand digital consumption by party ID married with attitudinal profiling. The industry will see how passively metered behavior can improve ability to understand people’s thoughts and behaviors. Case two enumerates how tipping points with a visual record of web path and decision points with visceral in-the-moment reactions recorded using mobile multimedia data capture can advance insights. Providing our industry an understanding of data capture considerations we review practices that are used for passive metering of persons and ‘in the wild’ active user experience. We examine findings concerning sample representativeness and data quality, with an eye toward reducing the biases associated with mobile samples. Moreover, we assess the relevance definitions of sample compliance have on data quality.
al uses of mobile technology to provide information beyond what is traditionally gathered in surveys. We provide two case studies to illuminate not only what to do to gather these new forms of information, but also the mechanics of collecting the data. These case studies use multi-media and passive monitoring that will be shown to provide additional information about populations of interest in less intrusive and more engaging ways. The passive monitoring case study empirically illustrates the depth of behavior obtained to fully understand digital consumption by party ID married with attitudinal profiling. The industry will see how passively metered behavior can improve ability to understand people’s thoughts and behaviors. Case two enumerates how tipping points with a visual record of web path and decision points with visceral in-the-moment reactions recorded using mobile multimedia data capture can advance insights. Providing our industry an understanding of data capture considerations we review practices that are used for passive metering of persons and ‘in the wild’ active user experience. We examine findings concerning sample representativeness and data quality, with an eye toward reducing the biases associated with mobile samples. Moreover, we assess the relevance definitions of sample compliance have on data quality.
Access/Direct link Conference Homepage (abstract)
Year of publication2016
Bibliographic typeConferences, workshops, tutorials, presentations
Web survey bibliography (1211)
- Using experts’ consensus (the Delphi method) to evaluate weighting techniques in web surveys not...; 2017; Toepoel, V.; Emerson, H.
- Mind the Mode: Differences in Paper vs. Web-Based Survey Modes Among Women With Cancer; 2017; Hagan, T. L.; Belcher, S. M.; Donovan, H. S.
- Ideal and maximum length for a web survey; 2017; Revilla, M.; Ochoa, C.
- Effects of sampling procedure on data quality in a web survey; 2017; Rimac, I.; Ogresta, J.
- Fieldwork monitoring and managing with time-related paradata; 2017; Vandenplas, C.
- Interviewer effects on onliner and offliner participation in the German Internet Panel; 2017; Herzing, J. M. E.; Blom, A. G.; Meuleman, B.
- Nonresponses as context-sensitive response behaviour of participants in online-surveys and their relevance...; 2017; Wetzlehuetter, D.
- Push2web or less is more? Experimental evidence from a mixed-mode population survey at the community...; 2017; Neumann, R.; Haeder, M.; Brust, O.; Dittrich, E.; von Hermanni, H.
- The perils of non-probability sampling; 2017; Bethlehem, J.
- Targeted letters: Effects on sample composition and item non-response; 2017; Bianchi, A.; Biffignandi, S.
- Web Health Monitoring Survey: A New Approach to Enhance the Effectiveness of Telemedicine Systems; 2017; Romano, M. F.; Sardella, M. V.; Alboni, F.
- Device and Internet Use among Spanish-dominant Hispanics: Implications for Web Survey Design and Testing...; 2017; Trejo, Y. A. G.; Schoua-Glusberg, A.
- Data collection mode differences between national face-to-face and web surveys on gender inequality...; 2017; Liu, M.
- A test of sample matching using a pseudo-web sample; 2017; Chatrchi, G., Gambino, J.
- PC, phone or tablet? Use, preference and completion rates for web surveys ; 2017; Brosnan, K.; Gruen, B.; Dolnicar, S.
- Web survey experiments on matrix questions; 2017; Liu, M.
- Overview: Online Surveys; 2017; Vehovar, V.; Lozar Manfreda, K.
- 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...
- Methodological Aspects of Central Left-Right Scale Placement in a Cross-national Perspective; 2016; Scholz, E.; Zuell, C.
- Standard Definitions: Final Dispositions of Case Codes and Outcome Rates for Surveys 2016; 2016
- Using Visual Analogue Scales in eHealth: Non-Response Effects in a Lifestyle Intervention; 2016; Kuhlmann, T.; Reips, U.-D.; Wienert, J.; Lippke, S.
- Are Initial Respondents Different from the Nonresponse Follow-Up Cases? A Study of Probability-Based...; 2016; Zeng, W.; Dennis, J. M.
- Predicting and Preventing Break-Offs in Web Surveys; 2016; Mittereder, F.
- Design of Sample Surveys That Complement Observational Data to Achieve Population Coverage; 2016; Slud, E.; Ashmead, R.
- Standard Definitions Final Dispositions of Case Codes and Outcome Rates for Surveys; 2016
- Du kommst hier nicht rein: Türsteherfragen identifizieren nachlässige Teilnehmer in Online-Umfragen; 2016; Merkle, B.; Kaczmirek, L.; Hellwig, O.
- Population Survey Features and Response Rates: A Randomized Experiment; 2016; Guo, Y.; Kopec, J.; Cibere, J.; Li, L. C.; Goldsmith, C. H.
- Mode Effect and Response Rate Issues in Mixed-Mode Survey Research: Implications for Recreational Fisheries...; 2016; Wallen, K. E.; Landon, A. C.; Kyle, G. T.; Schuett, M. A.; Leitz, J.; Kurzawski, K.
- Geht’s auch mit der Maus? – Eine Methodenstudie zu Online-Befragungen in der Jugendforschung...; 2016; Heim, R.; Konowalczyk, S.; Grgic, M.; Seyda, M.; Burrmann, U.; Rauschenbach, T.
- FocusVision 2015 Annual MR Technology Report; 2016; Macer, T., Wilson, S.
- Can Student Populations in Developing Countries Be Reached by Online Surveys? The Case of the National...; 2016; Langer, A., Meuleman, B., Oshodi, A.-G. T., Schroyens, M.
- Comparing Cognitive Interviewing and Online Probing: Do They Find Similar Results?; 2016; Meitinger, K., Behr, D.
- The impact of survey duration on completion rates among Millennial respondents ; 2016; Coates, D.; Bliss, M.; Vivar, X.
- How to maximize survey response rates ; 2016; DeVall, R.; Colby, C.
- Participation rates of childhood cancer survivors to self-administered questionnaires: a systematic...; 2016; Kilsdonk, E.; Wendel, E.; van Dulmen-den Broeder, E.; van Leeuwen, F.E.; Van Den Berg, M. H.; Jaspers...
- The use of online social networks as a promotional tool for self-administered internet surveys; 2016; de Rada, V. D.; Arino, L. V. C; Blasco, M. G
- The Effects of Pictorial vs. Verbal Examples on Survey Responses ; 2016; Sun, H.; Bertling, J.; Almonte, D.
- Grids and Online Surveys: Do More Complex Grids Induce Survey Satisficing? Evidence from the Gallup...; 2016; Wang, Me.; McCutcheon, A. L.
- The Effect of Emphasizing the Web Option in a Mixed-mode Establishment Survey ; 2016; O'Brien, J.; Rajapaksa, S.; Schafer, B.; Langetieg, P.
- Effect of Clarifying Instructions on Response to Numerical Open-ended Questions in Self-administered...; 2016; Kumar Chaudhary, A.; Israel, G. D.
- Beyond the Survey: Improving Data Insights and User Experience with Mobile Devices ; 2016; Graham, P.; Lew, G.
- User Experience Considerations for Contextual Product Surveys on Smartphones ; 2016; Sedley, A.; Mueller, H.
- The Differential Effect of Mobile-friendly Surveys on Data Quality; 2016; Horwitz, R.
- Assessing Changes in Coverage Bias of Web Surveys a s Internet Access Increases in the United States...; 2016; Sterrett, D.; Malato, D.; Benz, J.; Tompson, T.; English, N.
- Timing is Everything: Discretely Discouraging Mobile Survey Response through the Timing of Email Contacts...; 2016; Richards, A.; C.; Shook-Sa, B. E.; C.; Berzofsky, M.; Smith, A. C.
- Patterns of Unit and Item Nonresponse in a Multinational Web Survey ; 2016; Ackermann, A.; Howard Ecklund, E.; Phillips, B. T.; Brulia, A.
- A Closer Look at Response Time Outliers in Online S urveys Using Paradata Survey Focus ; 2016; Schlosser, S.; Hoehne, J. K.
- Response Order Effects on a Web Survey of Nurse Pra ctitioners ; 2016; Quintana, G.; Riley, L. E.
- Assessing the Effects and Effectiveness of Attention-check Questions in Web Surveys: Evidence From a...; 2016; Vannette, D.
- Effects of an Initial Offering of Multiple Survey Response Options on Response Rates; 2016; Steele, E. A.; Marlar, J.; Allen, L.; Kanitkar, K. N.