Web Survey Bibliography
Title Patterns of Unit and Item Nonresponse in a Multinational Web Survey
Year 2016
Access date 08.06.2016
Abstract
We examine nonresponse in the Rice University Religion among scientists in International Context (RASIC) survey. RASIC was a web survey withtelephone follow-up of members of biology and physics departments in French, Italian, Turkish, and U.S. universities and research institutes. Our analyses provide a guide for other studies of academic populations with respect to response rates for a typical web survey design and with respect to patterns of unit and item nonresponse. We first examine cross-national differences in response rates (highest in Italy and the U.S., lowest in Turkey). The timing of response is examined next, noting localized influences on the pattern of responses (e.g., holidays and the timing of reminders and telephone follow-up). This is followed by analysis of variations in response rate within country by characteristics of scientists, including academic rank, discipline, gender, and elite/nonelite status of institution. Differences between early and late respondents are then examined to allow for the use of the wider range of variables measured in the survey itself, including measures of religious belief. Finally, we examine which items were associated with break-off and item nonresponse:questions on religion, for example, could be controversial in some countries. The results of this analysis will provide data on rates and patterns of nonresponse in academic populations in the countries studied. RASIC data collection was funded by the Templeton World Charity Foundation, grant TWCF0033.AB14, Elaine Howard Ecklund, PI, Kirstin RW Matthews and Steven W. Lewis, co-PIs.
Access/Direct link Conference Homepage (abstract)
Year of publication2016
Bibliographic typeConferences, workshops, tutorials, presentations
Web survey bibliography (1211)
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- 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.
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- 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
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- 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.