Web Survey Bibliography
As society changes, survey research changes. The declining number of landline-only households in the U.S. has complicated and raised the cost of conducting surveys by telephone. Gone is the near-universal access to residences and greatly reduced is the geographic precision that high-coverage telephone surveys once offered. However, advances in computing power and address-based data files have created an alternative method of sampling known as address-based sampling (ABS). ABS uses Delivery Sequence File (DSF) data from the U.S. Postal Service’s records of every address in the country that can receive mail. The quality of this national list has improved with the push for more automation and efficiency in mail delivery, the growth in geographic information systems applications, and local initiatives to enhance emergency services by assigning standard street addresses even in more rural areas. ABS boasts near-universal coverage and precise geographical targeting. Because ABS is relatively new and often used in mixed-mode surveys, describing its use is valuable. This paper describes a mixed-mode ABS experiment within a statewide survey about recreational activities and demand. The original sample contained 13,880 records and yielded 3,149 responses from 17 geographic strata. Data were collected by web and mail. Addresses were randomly assigned to one of four treatments: mail only, mail with web later, web with mail later and the choice of options offered up front. The response rate was much lower for the web-with-mail-later group. Nearly half of the responses in this group resulted from a single paper mailing. However, one-quarter of respondents from the two treatment groups offering the web mode early on used the web. Some substantive and demographic differences by treatment were observed, but were not problematic. A hybrid protocol – a web-first invitation with multiple postal contacts to nonresponders – might have reduced costs up to 15% compared to a postal-only protocol.
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Web Survey Bibliography - USA (2159)
- The Effects of Errors in Paradata on Weighting Class Adjustments: A Simulation Study; 2013; West, B. T.
- Using Paradata to Study Response to Within-Survey Requests; 2013; Sakshaug, J. W.
- Paradata for Coverage Research ; 2013; Eckman, S.
- Improving Surveys with Paradata: Analytic Uses of Process Information; 2013; Kreuter, F.
- Theory of adaptation or survival of the fittest?; 2013; Cavallaro, K.
- Online Fundraising Essentials, Second Edition; 2013; Stevenson, S. C.
- Tips for Evaluating Online Effectiveness; 2013; Stevenson, S. C.
- The Digital Divide: The internet and social inequality in international perspective; 2013; Ragnedda, M., Muschert, G.
- Ten questions to ask your online survey provider; 2013; Williams, D.
- Survey quality prediction system 2.0; 2013
- Practical tools for designing and weighting survey samples; 2013; Valliant, R. L., Daver, J. A., Kreuter, F.
- Paradata in web surveys; 2013; Callegaro, M.
- Report Of The AAPOR Task Force On Non-probability sampling; 2013; Baker, R. P., Brick, J. M., Bates, N., Battaglia, M. P., Couper, M. P., Dever, J. A., Gile, K. J., Tourangeau...
- Mode Matters: Evaluating Response Comparability in a Mixed-Mode Survey; 2013; Bowyer, B. T., Rogowski, J. C.
- Methodological Considerations of Qualitative Email Interviews; 2013; Nehls, K.
- Best Practice in Online Survey Research with Sensitive Topics; 2013; Kays, K., Keith, T. L., Broughal, M. T.
- Using Web Surveys for Psychology Experiments: A Case Study in New Media Technology for Research; 2013; Peden, B. F., Tiry , A. M.
- Compared to a small, supervised lab experiment, a large, unsupervised web-based experiment on a previously...; 2013; Ryan, R. S., Wilde, M., Crist, S.
- Moving an established survey online – or not?; 2013; Barber, T., Chilvers, D., Kaul, S.
- On the Use of Latent Variable Models to Detect Differences in the Interpretation of Vague Quantifiers...; 2013; Griffin, J.
- Managing mobile research: How it's different and why it matters; 2013; Kachhi-Jiwani, D., Tucker, J., Wilding-Brown, L.
- An approach to selecting online respondents; 2013; Terhanian, G.
- By the Numbers: Theory of adaptation or survival of the fittest?; 2013; Cavallaro, K.
- Designing and conducting business surveys; 2013; Snijkers, G.,Araldsen, G., , Willimack, D. K.Jones, J.
- Battle of the Scales: Understanding Respondent Scale Usage in the US and Abroad; 2013; Courtright, M., Pashupati, K., Pettit, F. A.
- Modular Survey Design: A Bite Size Proposal; 2013; Kelly, F., Stevens, S., Johnson, A.
- Cyborgs vs. Monsters: Assembling Modular Surveys to Create Complete Datasets; 2013; Johnson, E. P., Siluk, L., Tarraf, S.
- Do I Have Your Full Attention?; 2013; Cape, P. J.
- Does Sample Size Still Matter?; 2013; Bakken, D. G., Bond, M.
- Optimizing Surveys for Smartphones: Maximizing Response Rates While Minimizing Bias; 2013; Lattery, K., Park Bartolone, G., Saunders, T.
- Shorter Isn't Always Better; 2013; Burdein, I.
- Solving the Unintentional Mobile Challenge; 2013; Peterson, G., Mechling, J., LaFrance, J., Ham, G.
- Mobile Research Risk: What Happens to Data Quality When Respondents Use a Mobile Device for a Survey...; 2013; Baker-Prewitt, J.
- Computer science security research and human subjects: Emerging considerations for research ethics boards...; 2013; Buchanan, E. A., Aycock, J., Dexter, S., Dittrich, D., Hvizdak, E. E.
- Addressing Survey Nonresponse Issues: Implications for ATE Principal Investigators, Evaluators, and...; 2013; Welch, W. W., Barlau, A. N.
- Addressing Disclosure Concerns and Analysis Demands in a Real-Time Online Analytic System; 2013; Krenzke, T., Gentleman, J. F., Li, J., Moriarity, C.
- The General Survey System Initiative at RTI International: An Integrated System for the Collection and...; 2013; Thalji, L., Mitchell, S., Hill, C. A., Suresh, R., Speizer, H., Pratt, D.
- Consolidation and Standardization of Survey Operations at a Decentralized Federal Statistical Agency; 2013; Nealon, J., Gleaton, E.
- Examination of the equivalence of self-report survey-based paper-and-pencil and internet data collection...; 2013; Weigold, A., Weigold, I. K., Russell, E. J.
- An Assessment of Incentive Versus Survey Length Trade-offs in a Web Survey of Radiologists; 2013; Ziegenfuss, J. Y., Niederhauser, B. D., Kallmes, D., Beebe, T. J.
- Clarifying Categorical Concepts in a Web Survey.; 2013; Redline, C. D.
- Using Online and Paper Surveys - The Effectiveness of Mixed-Mode Methodology for Populations Over 50; 2013; De Bernardo, D. H., Curtis, A.
- The Design of Grids in Web Surveys; 2013; Couper, M. P., Tourangeau, R., Conrad, F. G., Zhang, C.
- Survey Research; 2013; Abbott, M. L., McKinney, J.
- Understanding and Applying Research Design; 2013; Abbott, M. L., McKinney, J.
- The Science of Web Surveys; 2013; Tourangeau, R., Conrad, F. G., Couper, M. P.
- Virtual Research Methods; 2013; Hine, C.
- Informed Consent for Web Paradata Use; 2013; Couper, M. P., Singer, E.
- The Use of Mixed Methods in Organizational Communication Research; 2013; Salem, P. J.
- The Use of E-Questionnaires in Organizational Surveys; 2013; Brender-Ilan, Y., Vinitzky, G.
