Web Survey Bibliography
Title Humanizing Cues in Internet Surveys: Investigating Respondent Cognitive Processes
Year 2017
Access date 15.09.2017
Abstract In survey methodology, humanizing cues denote the procedures that imitate the interviewer and substitute some of the interviewer tasks (Tourangeau et al. 2003). Presenting a photo, an audio file, a video with the interviewer asking questions, or an animated person is considered the way to mobilize respondents and attract their attention. However, current methodological research on humanizing cues concentrate only on the interviewer effect and the social desirability bias; they do not cover the problem of the cognitive processes that are activated while answering the survey questions (Krosnick 1991; 1999).
This presentation reports on the results from an experiment conducted in November and December 2016 among university students (N=900) as part of the research project funded by the Polish National Science Center. This project aims to estimate the influence of humanizing cues on the quality of the data obtained in internet surveys. Although different data quality indicators were used, in the presentation we refer to those indicators that describe respondents’ tendency to shortcut cognitive processes (satisficing): (a) choosing non-substantive answers to attitude questions; (b)non-differentiation when giving multiple answers on the same response scale; (c) tendency to agree with any assertion, regardless of its content; (d) choosing options expressing approval for status quo; and (e) choosing the first reasonable option. The following types of Internet surveys were used in the experiment: (1) CAWI/text (with all stimuli presented in the form of text); (2) CAWI/photo (with stimuli presented in the form of text and an interviewer photo); and (3) CAWI/movie (with all stimuli presented in the form of video of real interviewers and, additionally, the answers presented in the form of text). Moreover, (4) CAPI was utilized within the experiment as an additional frame of reference. All versions of research tools reflect the growing extent of humanization of the research procedure.
This presentation reports on the results from an experiment conducted in November and December 2016 among university students (N=900) as part of the research project funded by the Polish National Science Center. This project aims to estimate the influence of humanizing cues on the quality of the data obtained in internet surveys. Although different data quality indicators were used, in the presentation we refer to those indicators that describe respondents’ tendency to shortcut cognitive processes (satisficing): (a) choosing non-substantive answers to attitude questions; (b)non-differentiation when giving multiple answers on the same response scale; (c) tendency to agree with any assertion, regardless of its content; (d) choosing options expressing approval for status quo; and (e) choosing the first reasonable option. The following types of Internet surveys were used in the experiment: (1) CAWI/text (with all stimuli presented in the form of text); (2) CAWI/photo (with stimuli presented in the form of text and an interviewer photo); and (3) CAWI/movie (with all stimuli presented in the form of video of real interviewers and, additionally, the answers presented in the form of text). Moreover, (4) CAPI was utilized within the experiment as an additional frame of reference. All versions of research tools reflect the growing extent of humanization of the research procedure.
Access/Direct link Conference Homepage (abstract) / (presentation)
Year of publication2017
Bibliographic typeConferences, workshops, tutorials, presentations
Web survey bibliography (189)
- Displaying Videos in Web Surveys: Implications for Complete Viewing and Survey Responses; 2017; Mendelson, J.; Lee Gibson, J.; Romano Bergstrom, J. C.
- Answering Without Reading: IMCs and Strong Satisficing in Online Surveys; 2017; Anduiza, E.; Galais, C.
- Lessons from recruitment to an internet based survey for Degenerative Cervical Myelopathy: merits of...; 2017; Davies, B.; Kotter, M. R.
- Achieving Strong Privacy in Online Survey; 2017; Zhou, Yo.; Zhou, Yi.; Chen, S.; Wu, S. S.
- Usability Testing for Survey Research; 2017; Geisen, E.; Romano Bergstrom, J. C.
- Millennials and emojis in Spain and Mexico.; 2017; Bosch Jover, O.; Revilla, M.
- Humanizing Cues in Internet Surveys: Investigating Respondent Cognitive Processes; 2017; Jablonski, W.; Grzeszkiewicz-Radulska, K.; Krzewinska, A.
- 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.
- Utjecaj vizualne orientacije skale za odgovaranje i broja stranica web-upitnika na rezultate ispitivanja...; 2017; Malikovic, M.; Svegar, D.; Somodzi, S.
- How to Design a Web Survey Using Spring Boot With MYSQL: a Romanien Network Case Study; 2017; Bucea-Manea-Tonis, Ro.; Bucea-Manea-Tonis, Ra.
- 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.
- Dynamic Question Ordering in Online Surveys; 2016; Early, K.; Mankoff, J.; Fienberg, S. E.
- Mobile-only web survey respondents; 2016; Lugtig, P. J.; Toepoel, V.; Amin, A.
- Development and Pilot Test of a Mobile Application for Field Data Collection; 2016; Chiappetta, L.; Kerr, M. M.
- A Feasibility Study of Recruiting and Maintaining a Web Panel of People with Disabilities; 2016; Chandler, J.
- Inferences from Internet Panel Studies and Comparisons with Probability Samples; 2016; Lachan, R.; Boyle, J.; Harding, R.
- FocusVision 2015 Annual MR Technology Report; 2016; Macer, T., Wilson, S.
- Effects of Personalization and Invitation Email Length on Web-Based Survey Response Rates; 2016; Trespalacios, J. H.; Perkins, R. A.
- Who Are the Internet Users, Mobile Internet Users, and Mobile-Mostly Internet Users?: Demographic Differences...; 2015; Antoun, C.
- App vs. Web for Surveys of Smartphone Users: Experimenting with mobile apps for signal-contingent experience...; 2015; McGeeney, K.; Keeter, S.; Igielnik, R.; Smith, A.; Rainie, L.
- Mode System Effects in an Online Panel Study: Comparing a Probability-based Online Panel with two Face...; 2015; Struminskaya, B.; De Leeuw, E. D.; Kaczmirek, L.
- Recruiting Respondents for a Mobile Phone Panel: The Impact of Recruitment Question Wording on Cooperation...; 2015; Busse, B.; Fuchs, M.
- Evaluating Visual Design Elements for Data Collection and Panelist Engagement; 2015; Christian, L. M.; Harm, D.; Langer Tesfaye, C.; Wells, T.
- Predictors of inconsistent responding in web surveys; 2015; Akbulut, Y.
- Does Opinion Leadership Increase the Followers on Twitter; 2015; Hwang, Y.
- When it comes to mobile respondent experience and data quality, survey design matters; 2014; Mitchell, N.
- The Changing Landscape of Technology and its Effect on Online Survey Data Collection; 2014; Mitchell, N.
- The need of and the demand for completing surveys on mobile devices; 2014; Toninelli, D., Revilla, M., Ochoa, C.
- The Effectiveness of Mailed Invitations for Web Surveys and the Representativeness of Mixed-Mode versus...; 2014; Bandilla, W., Couper, M. P., Kaczmirek, L.
- Gender Differences in Internet Addiction Associated with Psychological Health Indicators Among Adolescents...; 2014; Ha, Y.-M., Hwang, W. J.
- Use of a Google Map Tool Embedded in an Internet Survey Instrument: Is it a Valid and Reliable Alternative...; 2014; Dasgupta, S., Vaughan, A. S., Kramer, M. R., Sanchez, T. H., Sullivan, P. S.
- Does Self-Selection Affect Samples' Representativeness in Online Surveys? An Investigation in Online...; 2014; Khazaal, Y., van Singer, M., Chatton, A., Achab, S., Zullino, D., Rothen, S., Khan, R., Billieux, J.,...
- Differences in intrapersonal and interactional empowerment between lurkers and posters in health-related...; 2014; Petrovcic, A., Petric, G.
- Web-based Emergency Department Patient Satisfaction Surveys May Introduce Potential for Bias; 2014; Broadwater-Hollifield, C., Fair, J., Podolsky, S., et al.
- Validating respondents' identity in online samples; 2014; Baker, R., Miller, C., Kachhi-Jiwani, D., Lange, K., Wilding-Brown, L., Tucker, J.
- Which fieldwork method for what target group? How to improve response rate and data quality; 2014; Wulfert, T., Woppmann, A.
- Social desirability is the same in offline, online, and paper surveys: A meta-analysis; 2014; Dodou, D., de Winter J. C. F.
- Clicking vs. Dragging: Different Uses of the Mouse and Their Implications for Online Surveys; 2014; Sikkel, D., Steenbergen, R., Gras, S.
- Online Surveys as a Management Tool for Monitoring Multicultual Virtual Team Processes; 2014; Scovotti, C.
- Ideal participants in online market research: Lessons from closed communities; 2013; Heinze, A., Ferneley, E., Child, P.
- The internet user profile of Italian families of patients with rare diseases: a web survey; 2013; Tozzi, A. E., Mingarelli, R., Agricola, E., Gonfiantini, M., Pandolfi, E., Carloni, E., Gesualdo, F.,...
- Internet health information seeking is a team sport: Analysis of the Pew Internet Survey; 2013; Sadasivam, R. S., Kinney, R. L., Lemon, S. C., Shimada, S. L., Allison, J. J., Houston, T. K.
- Advantages of a global multimodal print & digital readership survey; 2013; Cour, N., Saint-Joanis, G.
- Australia: building a 21st century readership survey; 2013; Green, A., White, H.
- Video Content in Web Surveys: Effects on Selection Bias and Validity; 2013; Shapiro-Luft, D., Cappella, J.
- When to and When Not to Conduct a Web Survey; 2013; Barna, A.
- Relative Mode Effects on Data Quality in Mixed-Mode Surveys by an Instrumental Variable; 2013; Vannieuwenhuyze, J. T. A., Revilla, M.
- Educational use of smart phone technology: A survey of mobile phone application use by undergraduate...; 2013; Bomhold, C. R.
- Customer satisfaction in Web 2.0 and information technology development; 2013; Sharma, G., Baoku, L.