Web Survey Bibliography
There is a need for practical advice to inform decisions about when to mix modes and how, since survey designers are making these decisions in an ad hoc manner, driven by considerations of costs and response rates, but often ignoring the potential impact on data comparability. Some aspects of mixed modes are well researched, but others have not been examined. What is needed is a theoretical framework, based on existing and new complementary findings, about the causes and consequences of mixing modes.
A three-year project to address this issue was launched in Great Britain in October 2007, as part of the ESRC Survey Design and Measurement Initiative.
This project consists of three sub-projects: (1) a review of the literature and development of a theoretical framework, (2) quantitative analysis of existing datasets and new experimental data, and (3) qualitative research using cognitive interviewing to identify causes of mode effects.
This paper will present some initial results from sub-project (2), including some findings from a mixed modes experiment carried out in March-May 2009.
A sample of NatCen Omnibus respondents with access to the internet were randomly assigned to one of three modes: face-to-face, telephone and web. The questionnaire included about 60 questions that had been designed to test a set of hypotheses about the causes and consequences of mixed mode effects. The questions were classified according to type of question (e.g. attitude, behaviour, other factual), question format (e.g. closed/open, scale, # response categories), task difficulty and sensitivity of the question. The mode comparisons were dissected according to interviewer presence (face-to-face, telephone, none), delivery of question (visual, aural), response list (visual, aural) and recording of responses (oral, written). We will present the initial results of the experiment and highlight those research questions which will be taken forward in sub-project (3).
Conference homepage (abstract)
Web survey bibliography (4086)
- Respondent Processing of Rating Scales and the Scale Direction Effect ; 2016; Caporaso, A.
- The Effects of Pictorial vs. Verbal Examples on Survey Responses ; 2016; Sun, H.; Bertling, J.; Almonte, D.
- Evaluating Grid Questions for 4th Graders; 2016; Maitland, A.
- Mixing Modes: Challenges (and Tradeoffs) of Adapting a Mailed Paper Survey to the Web ; 2016; Wilkinson-Flicker, S.; McPhee, C. B.; Medway, R.; Kaiser, A.; Cutts, K.
- An Examination of How Survey Mode Affect Eligibility, Response and Health Condition Reporting Rates...; 2016; Stern, M. J.; Ghandour, R.
- Investigating Measurement Error through Survey Question Placement ; 2016; Wilson, A.; Wine, J.; Janson, N.; Conzelmann, J.; Peytcheva, E.
- Instructions in Self-administered Survey Questions: Do They Improve Data Quality or Just Make the Questionnaire...; 2016; Redline, C. D.; Zukerberg, A.; Owens, C.; Ho, A.
- Usability Testing within Agile Process; 2016; Holland, T.
- Exploring Why Web Surveys Take Longer to Complete on Smartphones than PCs: Findings from a Within-subjects...; 2016; Antoun, C.; Cernat, A.
- Making Mobile Web Surveys Accessible; 2016; Malakhoff, L.
- 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.
- Grids and Online Surveys: Do More Complex Grids Induce Survey Satisficing? Evidence from the Gallup...; 2016; Wang, Me.; McCutcheon, A. L.
- Assessing the Accuracy of 51 Nonprobability Online Panels and River Samples: A Study of the Advertising...; 2016; Yang,Y.;Callegaro,M.;Yang,Y.;Callegaro,M.;Chin,K.;Yang,Y.;Villar,A.;Callegaro, M.; Chin, K.; Krosnick...
- Calculating Standard Errors for Nonprobability Samples when Matching to Probability Samples ; 2016; Lee, Ad.; ZuWallack, R. S.
- Communicating Data Use and Privacy: In-person versus Web based methods for message testing ; 2016; Clark Fobia, A.; Hunter Childs, J. E.
- User Experience and Eye-tracking: Results to Optimize Completion of a Web Survey and Website Design ; 2016; Walton, L.; Ricci, K.; Libman Barry, A.; Eiginger, C.; Christian, L. M.
- Estimated-control Calibrated Estimates from Nonprobability Surveys; 2016; Dever, J. A.
- Decomposing Selection Effects in Non-probability Samples ; 2016; Mercer, A. W.; Keeter, S.; Kreuter, F.
- The Effect of Emphasizing the Web Option in a Mixed-mode Establishment Survey ; 2016; O'Brien, J.; Rajapaksa, S.; Schafer, B.; Langetieg, P.
- A Multi-phase Exploration Into Web-based Panel Respondents: Assessing Differences in Recruitment, Respondents...; 2016; Redlawsk, D.; Rogers, K.; Borie-Holtz, D.
- Effect of Clarifying Instructions on Response to Numerical Open-ended Questions in Self-administered...; 2016; Kumar Chaudhary, A.; Israel, G. D.
- Exploring the Feasibility of Using Facebook for Surveying Special Interest Populations ; 2016; Lee, C.; Jang, S.
- National Estimates of Sexual Minority Women Alcohol Use through Web Based Respondent Driven Sampling...; 2016; Farrell Middleton, D.; Iachan, R.; Freedner-Maguire, N.; Trocki, K.; Evans, C.
- Bringing Fair Market Rent Surveys into the 21st Century – Evaluating the Effectiveness of MSG...; 2016; Dayton, J.; Brassell, T.; Cooper, V.; Dion, R.; Williams, R.
- Measuring Survey Behavior of Smartphone Users; 2016; Luks, S.; Phillips, R.
- Practical Considerations for Using Vignettes to Evaluate Survey Items ; 2016; Steiger, D. M.; Williams, Do.; Edwards, W. S.; Cantor, D.; Truman, J.
- Using Web Panels to Quantify the Qualitative: The National Center for Health Statistics Research and...; 2016; Scanlon, P. J.
- Impact of Field Period Length in the Estimates of Sexual Victimization in a Web-based Survey of College...; 2016; Berzofsky, M.; Peterson, K.; Shook-Sa, B. E.; Lindquist, C.; Krebs, C.
- Longitudinal Online Ego-centric Social Network Data Collection with EgoWeb 2.0 ; 2016; Amin, A.; Kennedy, D.
- Influences on Item Response Times in a Multinational Web Survey ; 2016; Phillips, B. T.; Kolenikov, S.; Howard Ecklund, E.; Ackermann, A.; Brulia, A.
- QR Codes for Survey Access: Is It Worth It?; 2016; Allen, L.; Marlar, J.
- An Exploration of the Relationship between Usability Testing and Data Verification ; 2016; Langer Tesfaye, C.; Kurmlavage, V.
- 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.
- Embedding Survey Questions within Non-research Mobile Apps: A Method for Collecting High-quality Data...; 2016; Bapna, V.; Antoun, C.
- Does Changing Monetary Incentive Schemes in Panel Studies Affect Cooperation? A Quasi-experiment on...; 2016; Schaurer, I.; Bosnjak, M.
- Survey Mode and Mail Method: A Practical Experiment in Survey Fielding for a Multi-round Survey ; 2016; Sullivan, B. D.; Duda, N.; Bogen, K.; Clusen, N. A.; Wakar, B.; Zhou, H.
- Web Probing for Question Evaluation: The Effects of Probe Placement ; 2016; Fowler, S.; Willis, G. B.; Moser, R. P.; Townsend, R. L. M.; Maitland, A.; Sun, H.; Berrigan, D.
- Early-bird Incentives: Results From an Experiment to Determine Response Rate and Cost Effects ; 2016; De Santis, J.; Callahan, R.; Marsh, S.; Perez-Johnson, I.
- Using Cash Incentives to Help Recruitment in a Probability Based Web Panel: The Effects on Sign Up Rates...; 2016; Krieger, U.
- 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.
- Dynamic Instructions in Check-All-That-Apply Questions ; 2016; Kunz, T.; Fuchs, M.
- Patterns of Unit and Item Nonresponse in a Multinational Web Survey ; 2016; Ackermann, A.; Howard Ecklund, E.; Phillips, B. T.; Brulia, A.
- Debunking Myths About the Quality of Industry and O ccupation Data Collected Through Self-administered...; 2016; Hurwitz, F. I.; Stein, J.; Skaff, A. L.
- Desktops, Tablets and Phones, Oh My! Device Prefere nce for Web Based Surveys ; 2016; Schy, S.; Ghirardelli, A.; Morrison, H.
- Assessing Potential Bias in Respondent-driven Incident Based Data from a Web Survey of College Students...; 2016; Peterson, K.; Berzofsky, M.; Shook-Sa, B. E.; Krebs, C.; Lindquist, C.
- Making Connections on the Internet: Online Survey Panel Communications ; 2016; Libman Barry, A.; Eiginger, C.; Walton, L.; Ricci, K.