Web Survey Bibliography
Boosting Probability-Based Web Survey Response Rates via Non-Response Follow-up By Angela Fontes, Kean Chew, and Paul Lavrakas Web surveys using probability sampleshave the advantage of known probabilities of selection for each sample unit and typically produce more representative samples than non-probability sample sources; however, such surveys typically have low AAPOR responses rates for a variety of reasons. This paper describes a case study for boosting the response rate for web surveys sourced from probability samples. The response-rate boosting methodology involves a few components: conducting the initial web survey with a probability sample; drawing a random sample of the non -responders (excluding ineligible sample units) for nonresponse follow-up; and conducting the non-response follow- up study using professional field staff recruiting the sample to participate in the web survey. In addition to describing the methodology, the paper will present perspective on the appropriate calculation of a weighted response rate and standard errors from the combined sample (sourced from the initial survey and the non-response follow-up study). The paper will provide statistical evidence on impact on the sample representativeness and statistical findings as a result of including the interviews obtained from the non-response follow-up study.
Web survey bibliography - The American Association for Public Opinion Research (AAPOR) 70th Annual Conference, 2015 (35)
- 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 Role of Device Type and Respondent Characteristics in Internet Panel Survey Breakoff; 2015; McCutcheon, A. L.
- Web Survey Invitations: Design Features to Improve Response Rates; 2015; Hughes, J.; Marlar, J.
- Advance Postcard Mailing Improves Web Panel Survey Participation; 2015; Bertoni, N.; Burkey, A.; Caldaro, M.; Keeter, S.; DiSogra, C.; McGeeney, K.
- Mobile Devices for the Collection of Sensitive Information; 2015; Maitland, A.; Mercer, A. W.; Tourangeau, K.; Williams, Do.
- What Is The Impact of Smartphone Optimization on Long Surveys?; 2015; Cole, J.; Brooks, K.; Sarraf, S.
- Examining the Impact of Mobile First and Responsive Web Design on Desktop and Mobile Respondents; 2015; Tharp, D.
- Can An Importance Prompt Reduce Item Nonresponse For Demographic Items Across Web and Mail Modes?; 2015; Israel, G. D.
- Leveraging Area Probability Sampling in Recruiting Households for Web Surveys; 2015; Copeland, K.; Pedlow, K.; Tupek, A.
- Reducing Coverage Error in a Web Survey of College Students; 2015; Daley, K.; Pacer, J.
- Influences on Response Latency in a Web Survey; 2015; Ackermann, A.; Cheng, H. W.; Howard Ecklund, E.; Kolenikov, S.; Phillips, B. T.
- App vs. Web for Surveys of Smartphone Users; 2015; Igielnik, R.; McGeeney, K.
- Where Does the Platform Matter: The Impact of Geographic Clustering in Device Ownership and Internet...; 2015; Bilgen, I.; English, N.; Stern, M. J.; Ventura, I.
- Methodological Considerations in the Use of Name Generators and Interpreters; 2015; Proeschold Bell, R. J.; Eagle, D. E.
- 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.
- 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.
- 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.