Web Survey Bibliography
An experiment was carried out to determine the optimal recruitment strategy for a new online household panel. The factors to be optimized were contact mode, incentive amount, timing of the incentive, content of the advance letter, and timing of the panel participation request. The experimental design took into account the “naturally” varying factor of whether or not the households involved had a known fixed landline. Contact was made by either telephone (CATI) or face-to-face (CAPI). The results showed equivalent contact and recruitment rates for CATI and CAPI for households with a known telephone number. The contact rate was substantially lower for households without a known telephone number, even when controlling for the effect of contact mode. The response rates were not affected by the content of the advance letter. Response rates were also independent of whether the nature of the panel study was explained before or after the recruitment interview was completed. All incentives were found to have much stronger effects on response rates when they were distributed with the advance letter (prepaid) than when they were paid later (promised). The highest response rate was found with a prepaid incentive of 10 euros. The 20-euro and 50-euro incentives did not substantially increase response rates beyond those seen at the 10-euro level. Moreover, in comparison to the 20-euro and 50-euro prepaid incentives and to the promised incentives, the estimated costs per registered household were lowest for the prepaid 10-euro incentive.
Journal Homepage (abstract) / (full text)
Web survey bibliography - Public Opinion Quarterly (POQ) (90)
- Necessary but Insufficient: Why Measurement Invariance Tests Need Online Probing as a Complementary...; 2017; Meitinger, K.
- Nonresponse in Organizational Surveying: Attitudinal Distribution Form and Conditional Response Probabilities...; 2017; Kulas, J. T.; Robinson, D. H.; Kellar, D. Z.; Smith, J. A.
- Theory and Practice in Nonprobability Surveys: Parallels between Causal Inference and Survey Inference...; 2017; Mercer, A. W.; Kreuter, F.; Keeter, S.; Stuart, E. A.
- Is There a Future for Surveys; 2017; Miller, P. V.
- Respondent mode choice in a smartphone survey ; 2017; Conrad, F. G., Schober, M. F., Antoun, C., Yan, H. Y., Hupp, A., Johnston, M., Ehlen, P., Vickers, L...
- 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.
- The Low Response Score (LRS): A Metric to Locate, Predict, and Manage Hard-to-Survey Populations; 2016; Erdman, C.; Bates, N.
- Targeted Appeals for Participation in Letters to Panel Survey Members; 2016; Lynn, P.
- Fieldwork Effort, Response Rate, and the Distribution of Survey Outcomes: A Multilevel Meta-analysis; 2016; Sturgis, P.; Williams, Jo.; Brunton-Smith, I.; Moore, J.
- Measuring Generalized Trust: An Examination of Question Wording and the Number of Scale Points; 2016; Lundmark, S.; Giljam, M.; Dahlberg, S.
- Social Media Analyses for Social Measurement; 2016; Schober, M. F.; Pasek, J.; Guggenheim, L.; Lampe, C.; Conrad, F. G.
- Do Attempts to Improve Respondent Attention Increase Social Desirability Bias?; 2015; Clifford, S.; Jerit, J.
- Response Rates, Nonresponse Bias, and Data Quality: Results from a National Survey of Senior Healthcare...; 2015; Meterko, M.; Restuccia, J. D.; Stolzmann, K.; Mohr, D.; Brennan, C. W.; Glasgow, J.; Kaboli, P.
- Respondent Screening and Revealed Preference Axioms: Testing Quarantining Methods for Enhanced Data...; 2015; Jones, M. S.; House, L. A.; Zhifeng, G.
- Exploring the Effects of Removing "Too Fast" Responses and Respondents from Web Surveys; 2015; Greszki, R.; Meyer, M.; Schoen, H.
- The Effects of the Direction of Rating Scales on Survey Responses in a Telephone Survey; 2015; Keusch, F., Yan, T.
- Assessing the Potential of Paradata and Other Auxiliary Data for Nonresponse Adjustments; 2014; Krueger, B. S., West, B. T.
- Improving Response Rates and Questionnaire Design for Mobile Web Surveys; 2014; de Bruijne, M., Wijnant, A.
- Assessing Within-Household Selection Methods in Household Mail Surveys; 2014; Olson, K., Stange, M., Smyth, J. D.
- Mobile Technologies for Conducting, Augmenting and Potentially Replacing Surveys: Report of the AAPOR...; 2014; Link, M. W., Murphy, J., Schober, M. F., Buskirk, T. D., Childs, J. H., Tesfaye, C.
- Clicking vs. Dragging: Different Uses of the Mouse and Their Implications for Online Surveys; 2014; Sikkel, D., Steenbergen, R., Gras, S.
- The Effect of Benefit Wording on Consent to Link Survey and Administrative Records in a Web Survey; 2014; Sakshaug, J. W., Kreuter, F.
- Video Content in Web Surveys: Effects on Selection Bias and Validity; 2013; Shapiro-Luft, D., Cappella, J.
- Panel Conditioning in Difficult Attitudinal Questions; 2013; Binswanger, J., Schunk, D., Toepoel, V.
- Clarifying Categorical Concepts in a Web Survey.; 2013; Redline, C. D.
- Recruiting A Probability Sample For An Online Panel: Effects Of Contact Mode, Incentives, And Information...; 2012; Scherpenzeel, A., Toepoel, V.
- Does Giving People Their Preferred Survey Mode Actually Increase Survey Participation Rates?; 2012; Olson, K., Smyth, J. D., Wood, H.
- The changing role of address-based sampling in survey research; 2011; Iannacchione, V. G.
- Measuring americans' issue priorities. A new version of the most important problem question reveals...; 2011; Yeager, D. S., Larson, S. B., Krosnick, J. A., Tompson, T.
- Questions for Surveys: Current Trends and Future Directions; 2011; Schaeffer, N. C., Schaeffer, N. C.
- The Future of Modes of Data Collection; 2011; Couper, M. P.
- The Future of Survey Sampling; 2011; Brick, J. M.
- The Impact of “Forgiving” Introductions on the Reporting of Sensitive Behavior in Surveys...; 2011; Peter, J., Valkenburg, P. M.
- Surveying the General Public over the Internet Using Address-Based Sampling and Mail Contact Procedures...; 2011; Messer, B. L., Dillman, D. A.
- Use of Cognitive Shortcuts in Landline and Cell Phone Surveys; 2011; Everett, S. E., Kennedy, C.
- An Alternative to the Response Rate for Measuring a Survey's Realization of the Target Population; 2011; Skalland, B.
- Can Verbal Instructions Counteract Visual Context Effects in Web Surveys?; 2011; Toepoel, V., Couper, M. P.
- Nonresponse Error, Measurement Error, And Mode Of Data Collection: Tradeoffs in a Multi-mode Survey...; 2011; Sakshaug, J. W., Yan, T., Tourangeau, R.
- A Method for Evaluating Mode Effects in Mixed-mode Surveys; 2011; Vannieuwenhuyze, J., Loosveldt, G., Molenberghs, G.
- Total Survey Error: past, present, and future; 2010; Groves, R. M., Lyberg, L. E.
- Research synthesis. AAPOR report on online panels; 2010; Brick, J. M., Baker, R., Blumberg, S. J., Couper, M. P., Courtright, M., Dennis, J. M., Dillman, D....
- Recruiting probability samples for a multi-mode research panel with Internet and mail components; 2010; Rao, K.
- Cell-Phone-Only Voters in the 2008 Exit Poll and Implications for Future Noncoverage Bias ; 2009; Mokrzycki, M., Keeter, S., Kennedy, C.
- Zero Banks: Coverage Error and Bias in Rdd Samples Based on Hundred Banks with Listed Numbers ; 2009; Boyle, J., Bucuvalas, M., Piekarski, L., Weiss, A.
- National Surveys Via RDD Telephone Interviewing vs. the Internet: Comparing Sample Representativeness...; 2009; Chang, L. C., Krosnick, J. A.
- Impact of T-ACASI on Survey Measurements of Subjective Phenomena ; 2009; Harmon, T., Rogers, S. M., Eggleston, E., Roman, A. M., Villarroel, M. A., Chromy, J. R., Ganapathi,...
- Open-Ended Questions in Web Surveys: Can Increasing the Size of Answer Boxes and Providing Extra Verbal...; 2009; Smyth, J. D., Dillman, D. A., Christian, L. M., McBride, M.
- Web Survey Methods: Introduction; 2009; Couper, M. P., Miller, P. V.
- Social desirability bias in CATI, IVR and Web surveys: The effects of mode and question sensitivity; 2008; Kreuter, F., Presser, S., Tourangeau, R.
- Does a Probability-Based Household Panel Benefit from Assignment to Postal Response as an Alternative...; 2008; Rookey, B. D., Hanway, S., Dillman, D. A.