Web Survey Bibliography
Responsive design approaches to data collection are increasingly common within the survey research community, as they afford planned opportunities to modify aspects of the study design to reduce total survey error and control costs through analysis of paradata (Heeringa and Groves, 2006). Researchers are able identify characteristics of unresponsive sample, apply less passive modes of data collection, and tailor outreach methods that are more appealing to them. Researchers are also able to shift resources away from the more responsive categories to focus on sample members more resistant to completing. This practices raises important questions related to how the increased focus on unresponsive sample categories affects overall response rates and cost to complete ratios. For example, does a tailored approach to specific sample categories lead to an increase in response and, thereby reduce nonresponse bias; if so, does that increase come at a response rate decline in other categories; or raise the overall cost per complete ratio so significantly that the benefits of this approach are not worthwhile? These questions form the bases of our case study and proposed poster. Using paradata from a single mix-mode data collection effort of urban, low- income, high-school students and recent high-school graduates (Web-Telephone-In-person follow-up), we demonstrate how a responsive design approach helped control costs, extend data collection, and reach response rate targets while staying within budget with a particularly hard-to-reach population. Design modifications included adjusting our outreach to accommodate the contact information we received, incentive increases, on -campus completion sessions, individualized mailings, and accessing alumni events. Initial results indicate that shifting efforts toward unresponsive sample categories did raise the response rate in those categories without negatively impacting other categories. Although the cost per complete ratio did increase for unresponsive sample categories, shifting resources created cost savings that enabled an extension of the field effort overall.
Web survey bibliography (4086)
- Methodological Considerations in the Use of Name Generators and Interpreters; 2015; Proeschold Bell, R. J.; Eagle, D. E.
- Item Nonresponse in a Mixed-Mode Household Travel Survey; 2015; Pena, R. J.; Wilbur, M.; Kolenikov, S.
- Survey Estimation: How Different Are Probability and Non-Probability Survey Designs?; 2015; Shook-Sa, B. E.; Dever, J. A.
- Experience of Multiple Approaches to Increase Response Rate in a Mixed-Mode Implementation of a Population...; 2015; Ding, M.;Leite-Bennett, A. K.; Landreman, U. E.; Johnson, D. R.; Mehrotra, K.; Rosenkranz, M.; Thompson...
- The Effect of Respondent Commitment on Response Quality in an Online Survey; 2015; Cibelli Hibben, K.; Conrad, F.
- Predictors of Completion Rates in Online Surveys; 2015; Cho, S.; Cohen, Jo.; Kuriakose, N.; Liu, M.
- Boosting Probability-Based Web Survey Response Rates via Nonresponse Follow-Up; 2015; Chew, K.; Fontes, A.; Lavrakas, P. J.
- Adding a Web Mode to Phone Surveys: Effectiveness and Cost Implications; 2015; Beebe, T. J.; Lien, R.; Luxenberg, H.; Rainey, J.
- Web Survey Response Examined from the Perspective of Leverage-Saliency Theory Within a Longitudinal...; 2015; Nares, Y. G.
- Challenging Survey Screen Designs on Smartphones; 2015; Nichols, E. M.; Olmsted, E. L.
- The Effect Usability Testing has on Data Quality: A Design of an Online Diary; 2015; Gentry, R. J.; Pens, Y.
- Making Usability-Testing a Standard Survey Pretesting Methodology; 2015; McFarlane, E.
- Measuring the Effects of Operational Designs on Response Rates and Nonresponse Bias; 2015; Anderson, Me.; Henrikson, N.; King, D.; Ulrich, K.
- U.S. Survey Research: Sampling; 2015
- A Systematic Generation of an Email Pool for Web Surveys; 2015; Silber, H.; Leibold, J.; Lischewski, J.; Schlosser, S.
- Are Tailored Outreach Efforts Too Costly? An Assessment of a Responsive Design Approach to Control Costs...; 2015; Epps, S. R.; Getman, D. P.; Hall, L. M.; Hunter, J. A.
- Nonresponse Analysis and Adjustment in the Follow- Up Study of a National Cohort of Gulf War And Gulf...; 2015; Dursa, E.; Hammer, H.; Kolenikov, S.; Schneiderman, A. I.
- Return To Sender: An Evaluation of Undeliverable (e)Mail in the Modern Age; 2015; Marlar, J.; Yu, D.
- Evaluating Visual Design Elements for Data Collection and Panelist Engagement; 2015; Christian, L. M.; Harm, D.; Langer Tesfaye, C.; Wells, T.
- Comparing Field and Laboratory Usability Tests to Assess the Consistency and Mistakes in Web Survey...; 2015; Croen, A.; Gonzales, N.; Ghandour, R.; Stern, M. J.
- Cell RDD Respondents Unmasked: Progress Report on Geo and Demo Appends to the Wireless Frame; 2015; DiSogra, C.; Kennedy, C.Mosher, M.
- Venue-Based and Real-Time Sampling Methodologies in an Intercept Survey of Cyclists; 2015; Iachan, R.; Driscoll, H.; Saucier, O.
- Cognitive Testing of Survey Translations: Does Respondent Language Proficiency Matter?; 2015; Schoua-Glusberg, A.; Park, H.; Meyer, M.; Goerman, P. L.; Sha, M.
- Culturally-Related Response Styles for Attitude Questions: A Comparative Analysis of Chinese and American...; 2015; Wang, Me.
- Innovative Uses of Paradata Across Diverse Contexts ; 2015; Cheung, G.; Pennell, B.-E.
- Identifying and correcting question-wording problems: the case of Wageindicator; 2015; Slavec, A., Vehovar, V., Tijdens, K. G.
- Mail survey abroad with an alternative web survey; 2015; de Rada, V. D., Domínguez-Álvarez, J. A.
- Does the use of mobile devices (tablets and smartphones) affect survey quality and choice behaviour...; 2015; Liebe, U., Glenk, K., Oehlmann, M., Meyerhoff, J.
- The Effects of the Direction of Rating Scales on Survey Responses in a Telephone Survey; 2015; Keusch, F., Yan, T.
- Web-based survey, calibration, and economic impact assessment of spending in nature based recreation; 2015; Paudel, K. P., Devkota, N., Gyawali, B.
- Predictors of inconsistent responding in web surveys; 2015; Akbulut, Y.
- The Prostate Cancer Journey Results of an Online Survey of Men and Their Partners; 2015; O'Shaughnessy, P. K., Laws, T. A., Esterman, A.
- Twelve-month prevalence and predictors of self-reported suicidal ideation and suicide attempt among...; 2015; Kang, E. H., Kim, G. M., Hyun, M. K., Choi, S. M., Kim, J. M., Woo, J. M.
- Association between first airborne cedar pollen level peak and pollinosis symptom onset: a web-based...; 2015; Bando, H., Sugiura, H., Ohkusa, Y., Akahane, M., Sano, T., Jojima, N., Okabe, N., Imamura, T.
- A Mixed-Methods Investigation of Factors and Scenarios Influencing College Students’ Decision...; 2015; Koskey, K. L. K.; Cain, B.; Alvim, H. G.; Slager, E. M.
- Selection error in single- and mixed mode surveys of the Dutch general population; 2015; Hox, J., Klausch, L. T., Schouten, B.
- Online Administration of a Quantified Self-Questionnaire for Elderly People: A User Satisfaction Survey...; 2015; Beauchet, O., Vilcocq-Merjagnan, C.
- Nannies' Knowledge, Attitude, and Management of Food Allergies of Children: An Online Survey; 2015; Greiwe, J. C., Pazheri, F., Schroer, B.
- A web-based survey of United Kingdom sedation practice in the intensive care unit; 2015; Yassin, S. M., Yassin, J., Terblanche, M., McKenzie, C. A.
- Does Opinion Leadership Increase the Followers on Twitter; 2015; Hwang, Y.
- e-Social Science Perspective on Survey Process: Towards an Integrated Web Questionnaire Development...; 2015; Vehovar, V., Petrovcic, A., Slavec, A.
- The Impact of Mixing Modes on Reliability in Longitudinal Studies; 2014; Cernat, A.
- Growing Beyond the Phone Tree; 2014; Hayzlett, J.
- A Comparison of Different Online Sampling Approaches for Generating National Samples; 2014; Heen, M. S. J., Lieberman, J. D., Miethe, T. D.
- Does Sequence Matter in Multimode Surveys: Results from an Experiment; 2014; Wagner, J., Arrieta, J., Guyer, H., Ofstedal, M. B.
- The Use of Cognitive Interviewing Methods to Evaluate Mode Effects in Survey Questions; 2014; Gray, M., Blake, M., Campanelli, P.
- A Mixed Methods Approach to Network Data Collection; 2014; Rice, E., Holloway, I. W., Barman-Adhikari, A., Fuentes, D., Brown, C. H., Palinkas, L. A.
- Infliential Factors on Survey Outcomes: Length of Survey, Device Selection and Extrnal Elements; 2014; Ribeiro, E.
- The Effect of Mobile Web Survey Design on Screen Orientation Manipulation; 2014; Young, R.H.; Crawford, S. D.; Couper, M. P.; Nelson, T. F.
- Investigating Response Quality in Mobile and Desktop Surveys: A Comparison of Radio Buttons, Visual...; 2014; Toepoel, V.; Funke, F.