Web Survey Bibliography
Due to its relatively low cost and flexibility, the internet has become an increasingly attractive platform for survey practitioners. Moreover, the increasing ubiquity of high-speed internet has quelled past concerns about undercoverage of certain populations. Internet access for lower SES populations is known to be disproportionately mobile and thus dependent on smartphone or tablet-friendly instruments for success. As the dependence on mobile devices for internet access correlated with SES status, we would expect a high degree of clustering in web responses by mobile as opposed to traditional desktop computing. At question is how geographic clustering or autocorrelation in web platform and access, specifically traditional computer plus broadband vs. smartphone or tablet with mobile connections, can influence response rate, and substantive data in a web study. If certain parts of the United States tended to respond using given platform correlated with different response rates, degrees of breakoff, or substantive data, there exists a risk of spatial bias. We analyze paradata and substantive responses from a web survey of health in Illinois to understand the geographic nature of the interaction between internet platform, operating system, screen-size, and response. Specifically, use geographic information systems (GIS), local indicators of spatial autocorrelation (LISA), and spatial-lag modeling to visualize and quantify any clustering and its potential impact on survey data and response. While previous research has shown no correlation between broad band access and response rates (Fiorio et al. 2013), the current poster provides an extension by examining the impact of device ownership, mobile internet access, and internet use frequency. Our research is valuable to designers of web surveys who depend on a combination of mobile and traditional computer users.
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.