Web Survey Bibliography
As people increasingly communicate via video using software like Skype and FaceTime, new opportunities for survey interviewing are emerging. But little is known about how videomediated
interviewing affects data quality, respondent satisfaction, and interviewer rapport. On the one hand, videomediation might increase rapport with interviewers without the intimidation that can occur face to face; on the other hand, it may reduce respondents’ sense of privacy, and thus reduce disclosure of socially undesirable behaviors. The current study explores how one prominent default feature in current video technologies—the “self-view,” a video image of oneself in the corner of the screen—affects survey respondents’ levels of disclosure and feelings of comfort. In a laboratory experiment, 85 respondents engaged in a live real-time survey interview conducted over Skype, with the interviewer and respondent in separate locations. Respondents answered 42 questions from major U.S. surveys, selected because they might show mode effects related to socially undesirable responding, either with the default video image of themselves in the corner of the screen (“self-view”) or without the image (“no selfview”). Results suggest, perhaps counter intuitively, that the self-view reduces sensitivity and social desirability effects, allowing respondents to answer more comfortably and presumably more accurately. For instance, when asked about alcohol consumption, respondents in the self-view condition reported more frequent and greater alcohol consumption, and a (presumably more accurate) decreased likelihood of having been tested for HIV. In post-interview questions, respondents in the no-self-view condition reported a greater sense of co-presence with the interviewer and less comfort answering many of the sensitive questions. They also rated the interview as more sensitive than those in the self-view condition. Although the causal mechanisms are unclear, perhaps a self-view allows videomediated survey respondents to feel comfortable enough about their self-display to promote disclosure, or distracts them enough to reduce defensive self-monitoring.
Conference Homepage (abstract)
Web survey bibliography - The American Association for Public Opinion Research (AAPOR) 68th Annual Conference, 2013 (88)
- An Examination of the Relationship Between Pretest Method Results and Data Quality; 2013; Maitland, A.
- Associations Between Interactional Indicators of Problematic Questions and Systems for Coding Question...; 2013; Dykema, J., Schaeffer, N. C., Garbarski, D.
- Evaluation of a Sequential Mixed-Mode Design Experiment with Physicians on Response Rates, Costs, and...; 2013; Geisen, E., Olmsted, M. G., Murphy, J., Stanley, M.
- When We Do Not Know the Difference – the Level of DK in Different Question Formats and Different...; 2013; Schwarzer, S., Zeglovits, E., Connor, D. S.
- Factors Influencing Survey Participation Rates on an Online, Probability-Based Research Panel; 2013; Wiest, D.
- Effects of Self-Awareness on Disclosure During Skype Survey Interviews; 2013; Feuer, S., Schober, M. F.
- The Effect of Differential Mailing Methodologies on Response Rates: Testing Advanced Notices, Pre-Recorded...; 2013; Pens, Y., Cantave, M. A., Gentry, R. J.
- The Influence of Respondent Incentives on Item Nonresponse and Measurement Error in a Web Survey; 2013; Felderer, B., Kreuter, F., Winter, J.
- A Multi-Survey, Multi-Methodological Assessment of Perception of Need and Quality of Life: Opinion Polling...; 2013; Levy, D.,
- Eliminate Item Non-Response: The Effect of Forcing Respondents to Answer in Web Surveys; 2013; Leach, L. M.
- The Influence of Answer Box Format, Personal Topic Interest, and Respondent Characteristics on Response...; 2013; Keusch, F.
- Using Motivating Prompts to Increase Responses to Open-ended Questions in Mixed-mode Surveys: Where...; 2013; Israel, G. D.
- How Open Are We to the Open-Ended Questions?; 2013; Mamedova, S.
- Will Snowball Sampling Leave Your Data in the Cold?; 2013; Cavallaro, K.
- Panel Attrition: Separating Stayers, Sleepers and Other Types of Drop-Out in an Internet Panel; 2013; Lugtig, P. J.
- Building a History: Collecting Comprehensive Employment Data in a Web-Based, Multi-Mode Survey; 2013; Cominole, M., Bennett, C., Caves, L.
- Augmenting Paper Diaries With Phone and Web Data Retrieval: Is it Effective?; 2013; Wargelin, L., Minser, J., Homer, Z., Fleeman, A., ZuWallack, R. S.
- Alone in a Group: Comparison of Effects of a Group-Administered Paper-Pencil Survey Versus an Individually...; 2013; Higgins, W. B., Barlas, F. M., Pflieger, J., Thomas, R. K., Jeffery, D., Mattiko, M.
- The Effect of Survey Mode on Socially Undesirable Responses to Open Ended Questions: Online vs. Paper...; 2013; Hedberg, E., Ceasar, G., Wallace, D.
- Mode Effects in a National Establishment Survey; 2013; Daley, K., Phillips, B. T.
- Cognitive Interviewing in Online Modes: a Comparison of Data Collected in Second Life and Skype; 2013; Swicegood, J. E., Head, B., Dean, E., Keating, M.
- Mobile Browser Web Surveys: Testing Response Rates, Data Quality and Best Practices; 2013; McGeeney, K., Marlar, J.
- Comparing Tablet, Computer, and Smartphone Survey Administrations; 2013; Wells, T., Bailey, J., Link, M. W.
- Speeding and Non-Differentiation in Web Surveys: Evidence of Correlation and Strategies for Reduction...; 2013; Zhang, Che.
- Use of Drag-and-Drop Rating Scales in Web Surveys and Its Effect on Survey Reports and Data Quality; 2013; Kunz, T.
- Effects of Respondent Reluctance, Mode, and Technical Difficulties on Straight- Lining and Refusals...; 2013; Gibson, J. L., Mendelson, J.
- The Relations Among Different Cognitive Shortcuts in Surveys; 2013; Tourangeau, R., Medway, R., Presser, S.
- Differential Incentives in a Dual Mode Survey of Health Care Providers; 2013; Roff, B., Barrett, K.
- Effects of Displaying Videos on Measurement in a Web Survey; 2013; Mendelson, J., Gibson, J. L., Romano Bergstrom, J. C.
- The Effect of Attempting to Recruit Respondents to a Web-Based Diary on Overall Response Rate; 2013; Cantave, M. A. Gentry, R. J.
- Watch Your Language!: The Impact of the Survey Language on Bilingual Hispanics’ Response Process...; 2013; Ay, M., Gross, W., Cobb, C. L., Thomas, R. K.
- Estimation of Expected Academic Engagement Behaviors: The Use of Vague Quantifiers Versus Tallied Responses...; 2013; Cole, J.
- Self-Reported Participation in Research Practices Among Survey Methodology Researchers; 2013; Perez-Vergara, K., Smith, C., Lowenstein, C., Ozonoff, A., Martins, Y.
- Changing of the Guard: Effects of Different Self-Administered Survey Modes on Sensitive Questions; 2013; Barlas, F. M., Higgins, W. B., Pflieger, J., Thomas, R. K., Jeffery, D., Mattiko, M.
- Estimating Measurement Effects of Survey Modes From Between and Within Subject Designs; 2013; Klausch, L. T., Hox, J., Schouten, B.
- Web Versus Outbound: A Mode Face-Off Following the Presidential Debate; 2013; Marlar, J.
- Innovative Retention Methods in Panel Research: Can SmartPhones Improve Long-Term Panel Participation...; 2013; Dayton, J. J., Dyer, A.
- Predicting Survey Breakoff in Internet Survey Panels; 2013; Al Baghal, T., McCutcheon, A. L., Tsabutashvili, D.
- Using GIS to Target Address-Based Samples of Households for a Web (vs. Mail) Response: Evidence from...; 2013; Messer, B. L.
- Is Pushing the General Public to the Web in Address-Based Samples Cost Effective?; 2013; Lesser, V. M.
- Effects of Survey Sponsorship on Internet and Mail Response: Using Address- Based Sampling; 2013; Edwards, M. L.
- Grid Formats, Data Quality, and Mobile Device Use: A Questionnaire Design Approach; 2013; McClain, C., Crawford, S. D.
- Can Embedded Help Text Links in Web Survey Items Improve Data Quality?; 2013; Janson, N., Bennett, C., Caves, L., Cominole, M., Shepherd, B., Wine, J.
- Using the iPad as a Prize-Based Incentive to Boost Response Rates: A Case Study at Brigham Young University...; 2013; McClendon, R., Olsen, D.
- Can Google Consumer Surveys Help Pre-Test Alternative Versions of a Survey Question?: A Comparison of...; 2013; Stern, M. J., Welch, W. W.
- Online Panels: Recruitment Based on “Hot Topics” – What are the Consequences?; 2013; Andreasson, M., Martinsson, J.
- Social Network Analysis and Survey Response: How Facebook Data Can Supplement Survey Data; 2013; Sage, A.
- Surveywalls: A Breakthrough for Survey Customers or DIY Run Amok?; 2013; Wells, T., Dean, E., Rao, K., Murphy, J., Roe, D. J.
- Examining the Effects of Interventions to Obtain Participation via Less Expensive Modes: Results from...; 2013; Harris-Kojetin, L., Sengupta, M., Hobbs, M., Greene, A.
- Evaluating the Effect of a Non-Monetary Incentive in a Nationally Representative Mixed-Mode Establishment...; 2013; Sengupta, M., Harris-Kojetin, L., Hobbs, M., Greene, A.