Web Survey Bibliography
Title Incentive Types and Amounts in a Web-based Survey of College Students
Author Krebs, C.; Planty, M.; Stroop, J.; Berzofsky, M.; Lindquist, C.
Year 2015
Access date 22.08.2016
Full text PDF (289 KB)
Abstract
Evidence suggests that personalized invitations tend to increase response rates in web surveys (Cook et al., 2000). However, personalization may have an unintended impact on survey estimates. There is some evidence that personalization may reduce self-disclosure on sensitive items (Joinson, Woodley, & Reips, 2007) or increase socially desirable responding (Heerwegh et al. 2005), but other studies have been unable to replicate these findings (e.g. Heerwegh, 2005; Heerwegh & Loosveldt, 2006). To evaluate the impact of personalization on response rates and survey estimates of sensitive items, we compared the effects of personalized and generic greetings in a survey on an extremely sensitive topic: sexual experiences, including sexual assault victimization.
We conducted a Web survey with students at five universities. Sample members were randomly assigned to receive either a personalized greeting (“Dear John”) or a generic greeting (“Dear [Fill: School Name] Student”) in their survey invitation and reminders. Despite the literature suggesting personalization increases response rates, we hypothesized the personalized greeting would result in a lower response rate because our survey focused on such a highly sensitive topic. We also predicted personalization would result in lower rates of self-reported sexual assault victimization compared to a generic greeting. This is because we assumed sample members receiving the personalized greeting would perceive the survey as less anonymous, making them less likely to participate if they had experienced sexual assault victimization, or less likely to report their victimization experiences if they did participate.
We compared the effect of greeting on response rates and reported victimization. The personalized greeting resulted in a significantly higher response rate, but the generic greeting resulted in higher rates of sexual assault victimization; this difference is statistically significant for females. This experiment adds evidence to the divided literature on the effect of personalization on self-disclosure on sensitive items. Our findings suggest personalization increased response rates but decreased reported victimization, emphasizing that a higher response rate is not necessarily indicative of more accurate data.
We conducted a Web survey with students at five universities. Sample members were randomly assigned to receive either a personalized greeting (“Dear John”) or a generic greeting (“Dear [Fill: School Name] Student”) in their survey invitation and reminders. Despite the literature suggesting personalization increases response rates, we hypothesized the personalized greeting would result in a lower response rate because our survey focused on such a highly sensitive topic. We also predicted personalization would result in lower rates of self-reported sexual assault victimization compared to a generic greeting. This is because we assumed sample members receiving the personalized greeting would perceive the survey as less anonymous, making them less likely to participate if they had experienced sexual assault victimization, or less likely to report their victimization experiences if they did participate.
We compared the effect of greeting on response rates and reported victimization. The personalized greeting resulted in a significantly higher response rate, but the generic greeting resulted in higher rates of sexual assault victimization; this difference is statistically significant for females. This experiment adds evidence to the divided literature on the effect of personalization on self-disclosure on sensitive items. Our findings suggest personalization increased response rates but decreased reported victimization, emphasizing that a higher response rate is not necessarily indicative of more accurate data.
Access/Direct link FCSM Research Conference Homepage (Abstract) / (Full text)
Year of publication2015
Bibliographic typeConferences, workshops, tutorials, presentations
Web survey bibliography (4086)
- Measuring Generalized Trust: An Examination of Question Wording and the Number of Scale Points; 2016; Lundmark, S.; Giljam, M.; Dahlberg, S.
- A Statistical Approach to Provide Individualized Privacy for Surveys; 2016; Esponda, F.; Huerta, K.; Guerrero, V. M.
- Online and Social Media Data As an Imperfect Continuous Panel Survey; 2016; Diaz, F.; Garmon, F.; Hofman, J. K.; Kiciman, E.; Rothschild, D.
- Social Media Analyses for Social Measurement; 2016; Schober, M. F.; Pasek, J.; Guggenheim, L.; Lampe, C.; Conrad, F. G.
- Equivalence of paper-and-pencil and computerized self-report surveys in older adults; 2016; Weigold, A.; Weigold, I. K.; Drakeford, M. K.; Dykema, S. A.; Smith, C. A.
- Quality of Different Scales in an Online Survey in Mexico and Colombia; 2016; Revilla, M.; Ochoa, C.
- A multi-group analysis of online survey respondent data quality: Comparing a regular USA consumer panel...; 2016; Golden, L.; Albaum, G.; Roster, C. A.; Smith, S. M.
- Does the Inclusion of Non-Internet Households in a Web Panel Reduce Coverage Bias?; 2016; Eckman, S.
- Investigating respondent multitasking in web surveys using paradata; 2016; Sendelbah, A.; Vehovar, V.; Slavec, A.; Petrovcic, A.
- The effect of email invitation elements on response rate in a web survey within an online community; 2016; Petrovcic, A.; Petric, G.; Lozar Manfreda, K.
- Respondent Conditioning in Online Panel Surveys: Results of Two Field Experiments; 2016; Struminskaya, B.
- Swapping bricks for clicks: Crowdsourcing longitudinal data on Amazon Turk; 2016; Daly, T. M.; Nataraajan, R.
- A reliability analysis of Mechanical Turk data; 2016; Rouse, S. V.
- Quota Controls in Survey Research.; 2016; Gittelman, S. H.; Thomas, R. K.; Lavrakas, P. J.; Lange, V.
- Presentation matters: how mode effects in item non-response depend on the presentation of response options...; 2016; Zeglovits, E.; Schwarzer, S.
- Internet-administered Health-related Quality of Life Questionnaires Compared With Pen and Paper in an...; 2016; Nitikman, M.; Mulpuri, K.; Reilly, C. W.
- Computers, Tablets, and Smart Phones: The Truth About Web-based Surveys; 2016; Merle, P.; Gearhart, S.; Craig, C.; Vandyke, M.; Brooks, M. E.; Rahimi, M.
- Scientific Surveys Based on Incomplete Sampling Frames and High Rates of Nonresponse; 2016; Fahimi, M.; Barlas, F. M.; Thomas, R. K.; Buttermore, N. R.
- Doing Surveys Online ; 2016; Toepoel, V.
- Exploring Factors in Contributing Student Progress in the Open University; 2016; Arifin, M. H.
- Taming Big Data: Using App Technology to Study Organizational Behavior on Social Media; 2015; Bail, C. A.
- The Use of a Nonprobability Internet Panel to Monitor Sexual and Reproductive Health in the General...; 2015; Legleye, S; Charrance, G.; Razafindratsima, N.; Bajos, N.; Bohet, A.; Moreau, C.
- Adapting Labour Force Survey questions from interviewer-administered modes for web self-completion in...; 2015; Betts, P.; Cubbon, B.
- ESOMAR/GRBN Online Research Guideline; 2015
- Taking MARS Digital; 2015; Melton, E.; Krahn, J.
- A Comparison of the Effects of Face-to-Face and Online Deliberation on Young Students’ Attitudes...; 2015; Triantafillidou, A.; Yannas, P.; Lappas, G.; Kleftodimos, A.
- A Privacy-Friendly Method to Reward Participants of Online-Surveys; 2015; Herfert, M.; Lange, B.; Selzer, A.; Waldmann, U.
- Doing Online Surveys: Zum Einsatz in der sozialwissenschaftlichen Raumforschung; 2015; Nadler, R.; Petzold, K.; Schoenduwe, R.
- Are Fast Responses More Random? Testing the Effect of Response Time on Scale in an Online Choice Experiment...; 2015; Boerger, T.
- The impact of frequency rating scale formats on the measurement of latent variables in web surveys -...; 2015; Menold, N.; Kemper, C. J.
- Investigating response order effects in web surveys using eye tracking; 2015; Karem Hoehne, J.; Lenzner, T.
- Implementation of the forced answering option within online surveys: Do higher item response rates come...; 2015; Decieux, J. P.; Mergener, A.; Neufang, K.; Sischka, P.
- Internet Panels, Professional Respondents, and Data Quality; 2015; Matthijsse, S.; De Leeuw, E. D.; Hox, J.
- Self-administered Questions and Interviewer–Respondent Familiarity; 2015; Rodriguez, L. A., Sana, M., Sisk, B.
- Comparing Food Label Experiments Using Samples from Web Panels versus Mall Intercepts; 2015; Chang, L. C., Lin, C. T. J.
- Translating Answers to Open-ended Survey Questions in Cross-cultural Research: A Case Study on the Interplay...; 2015; Behr, D.
- The impact of gamifying to increase spontaneous awareness; 2015; Cape, P.
- Using eye-tracking to understand how fourth grade students answer matrix items; 2015; Maitland, A.; Sun, H.; Caporaso, A.; Tourangeau, R.; Bertling, J.; Almonte, D.
- Incentive Types and Amounts in a Web-based Survey of College Students; 2015; Krebs, C.; Planty, M.; Stroop, J.; Berzofsky, M.; Lindquist, C.
- Response Rates and Response Bias in Web Panel Surveys; 2015; Boyle, J.; Berman, L.; Dayton, Ja.; Fakhouri, T.; Iachan, R.; Courtright, M.; Pashupati, K.
- Characteristics of the Population of Internet Panel Members; 2015; Boyle, J; Freedner, N.; Fakhouri, T.
- Internet and Smartphone Coverage in a National Health Survey: Implications for Alternative Modes; 2015; Couper, M. P.; Kelley, J.; Axinn, W.; Guyer, H.; Wagner, J.; West, B. T.
- An Overview of Mobile CATI Issues in Europe; 2015; Slavec, A.; Toninelli, D.
- Using Mobile Phones for High-Frequency Data Collection; 2015; Azevedo, J. P.; Ballivian, A.; Durbin, W.
- Willingness of Online Access Panel Members to Participate in Smartphone Application-Based Research; 2015; Pinter, R.
- Who Has Access to Mobile Devices in an Online Opt-in Panel? An Analysis of Potential Respondents for...; 2015; Revilla, M.; Toninelli, D.; Ochoa, C.; Loewe, G.
- Who Are the Internet Users, Mobile Internet Users, and Mobile-Mostly Internet Users?: Demographic Differences...; 2015; Antoun, C.
- A Meta-Analysis of Breakoff Rates in Mobile Web Surveys; 2015; Mavletova, A. M.; Couper, M. P.
- The Best of Both Worlds? Combining Passive Data with Survey Data, its Opportunities, Challenges and...; 2015; Duivenvoorde, S.; Dillon, A.
- Optimizing the Decennial Census for Mobile – A Case Study; 2015; Nichols, E. M.; Hawala, E. O.; Horwitz, R.; Bentley, M.