Web Survey Bibliography
Address based sampling (ABS), the use of a comprehensive database of addresses for sampling of residential households, is garnering considerable attention by survey researchers as a potential alternative to random digit dialing (RDD) surveys. For nearly 30 years, the Nielsen TV Ratings Diary Survey was one of the world’s largest RDD surveys (in recent years screening more than 5 million telephone numbers annually). In November 2008, the TV Ratings Diary moved from a landline telephone frame to an ABS frame, becoming the first major survey research effort to make this important transition. The new TV Ratings design uses ABS with a multi mode data collection approach, which includes Web, mail, and telephone recruitment tools. We assess the success of this transition by comparing the March 2009 ABS measurement to the February 2008 RDD design. The lessons learned from this pioneering effort will further the understanding the industry has for the potential uses of this new approach. Some of the key findings included:
- Allows researchers to reach cell phone only households
- Significant step in improving representation of younger homes
- Improves coverage but not necessarily response rate in all cases
Key sample indicators on ABS file are more accurate than corresponding indicators on landline frame — with addition of geocoded information can be a powerful tool for addressing racial/ethnic imbalances
Journal Homepage (abstract)/(full text)
Web Survey Bibliography - Survey Practice (52)
- Toward Understanding Response Sequence in Check-All-That-Apply Web Survey Questions: A Research Note...; 2012; Stern, M. J., Bilgen, I., Rookey, B. D.
- The Mode of Invitation for Web Surveys; 2012; Bandilla, W., Couper, M. P., Kaczmirek, L.
- Encouraging Survey Response via Smartphones: Effects on Respondents’ Use of Mobile Devices and...; 2012; Dillman, D. A., Millar, M. M.
- Surveying Rare Populations Using a Probabilitybased Online Panel; 2012; Peugh, J., Wright, G.
- Methods for Improving Response Rates in Two-Phase Mail Surveys; 2012; Brick, J. M., Andrews, W. R., Brick, P. D., King, H., Mathiowetz, N. A., Stokes, L.
- Do Mail and Internet Surveys Produce Different Item Nonresponse Rates? An Experiment Using Random Mode...; 2012; Millar, M. M., Dillman, D. A.
- Item Nonresponse in a Client Survey of the General Public; 2012; Israel, G. D., Lamm, A. J.
- Comparing Item Nonresponse across Different Delivery Modes in General Population Surveys; 2012; Lesser, V. M., Newton, L., Yang, D.
- Determinants of Item Nonresponse to Web and Mail Respondents in Three Address-Based Mixed-Mode Surveys...; 2012; Messer, B. L., Edwards, M. L., Dillman, D. A.
- A Potential Solution for Easing Authentication of Respondents for a Web-Based Survey?; 2012; Baum, H. M.
- Exploring Animated Faces Scales in Web Surveys: Drawbacks and Prospects; 2012; Emde, M., Fuchs, M.
- Smart Surveys for Smart Phones: Exploring Various Approaches for Conducting Online Mobile Surveys via...; 2012; Buskirk, T. D., Andrus, C.
- Benefits and Costs of a Multi-Mode Survey of Recent College Graduates; 2011; Crow, D.,
- Using Facebook to Locate Sample Members; 2011; Rhodes, B. B., Marks, E. L.
- Paradata in Survey Research; 2011; West, B. T.
- Comparison of Web and Mail Responses in a Census of Swedish Local Political Representatives; 2011; Gilljam, M., Granberg, D., Holm, B., Persson, M., Karlsson, D., Sundell, A.
- Towards Usage of Avatar Interviewers in Web Surveys; 2011; Jans, M., Malakhoff, L.
- Method Effects and Robo-polls; 2011; van Lohuizen, J., Samohyl, R. W.
- Mode Effect Analysis - Paper Respondents vs. Web Respondents in the 2004-05 Teacher Follow-up Survey; 2011; Aritomi, T., Hill, J.
- Placement and Design of Navigation Buttons in Web Surveys; 2011; Couper, M. P., Baker, R. P., Mechling, J.
- Mixed-Mode Surveys and the Internet; 2010; de Leeuw, E. D.
- Do You Know Which Device Your Respondent Has Used to Take Your Online Survey?; 2010; Callegaro, M.
- Segmented or Overlapping Dual Frame Samples in Telephone Surveys; 2010; Boyle, J., Lewis, F., Tefft, B.
- Comparison of Paper, Web, and IVR Responses in the Veterans Health Administration Survey; 2010; Teclaw, R., Osatuke, K., Yanovsky, B., Moore, S., Dyrenforth, S.
- Multi-Mode and Method Experiment in a Study of Nurses; 2010; Friese, C. R., Lee, C. S., O'Brien, S., Crawford, S. D.
- Does the Timing of Offering Multiple Modes of Return Hurt the Response Rate?; 2010; Bensky, E. N., Link, M. W., Shuttles, D. C.
- Response Mode and Bias Analysis in the IRS Individual Taxpayer Burden Survey; 2010; Brick, J. M., Contos, G., Masken, K., Nord, R.
- An Experiment With an Employment Sector Question; 2010; Finno, A. A., Kohout, J.
- Lottery Incentives and Online Survey Response Rates; 2010; Preece, M. J., Johanson, G., Hitchcock, J.
- Does Prefilling Questions in a Longitudinal Survey Encourage Participation?; 2010; Mooney, G., Krakowiecki, M., Trunzo, D.
- Life360: Usability of Mobile Devices for Time Use Surveys; 2010; Lai, J. W., Vanno, L., W., Pearson, J., Makowska, H., Benezra, K., Green, M.Link, M. W.
- Cell Phone Mainly Households: Coverage and Reach for Telephone Surveys Using RDD Landline Samples; 2009; Boyle, J., Lewis, F., Tefft, B.
- Does Response Rate Matter? Journal Editors Use of Survey Quality Measures in Manuscript Publication...; 2009; Carley-Baxter, L. R., Hill, C., Roe, D. J., Twiddy, S. E., Baxter, R. K., Ruppenkamp, J.
- Declining Working Phone Rates Impact Sample Efficiency; 2009; Piekarski, L.
- Using Non-Probability Samples for Confusion Surveys - Mall Intercepts and the Internet; 2009; Ericksen, E. P.
- Using Debit Cards for Incentive Payments: Experiences of a Weekly Survey Study; 2009; Gatny, H. H., Couper, M. P., Axinn, W., Barber, J. S.
- Characteristics of Cell Phone Only, Listed, and Unlisted Telephone Households; 2009; Tarnai, J., , Schultz, R.Moore, D.
- Cell Phone-Only Households: A Good Target for Internet Surveys?; 2009; Bates, N.
- Comments on the Articles (3) - Three Key Takeaways from the Zero Bank Debate; 2009; W.Link, M. W.
- Comments on the Articles (2) - A Failure to Communicate; 2009; Tucker, C.
- Reply to Fahimi et al Comments; 2009; Boyle, J., Bucuvalas, M., Piekarski, L., Weiss, A.
- Zero Banks: Coverage Error in List Assisted RDD Samples; 2009; Boyle, J., Bucuvalas, M., Piekarski, L., Weiss, A.
- Combining Data from Probability and Non-Probability Samples Using Pseudo-Weights; 2009; Elliott, M. R.
- Separating Selection Bias and Non-coverage in Internet Panels using Propensity Matching; 2009; Lensvelt-Mulders, G. J., Lugtig, P. J., Hubregtse, M.
- Obtaining Responses by Mail or Web: Response Rates and Data Consequences; 2009; Israel, G. D.
- Analyzing the Cost-Effectiveness of Using Return Receipt and Address Corrections in Mail Surveys; 2009; Stuckey, H. L., Malhotra, N., Sims, B. A., Walters, M. R.
- Summaries of Address-Based Sampling Presentations at the AAPOR Annual Meeting; 2009; W., Daily, G., Shuttles, D. C., Yancey, L. T., Thu Burks, A., Bourquin, C.Link, M. W.
- Can Survey Respondents with Visual Deficits Complete My Web Survey?; 2009; Malakhoff, L.
- How Many Scale Points Should I Include for Attitudinal Questions?; 2009; Maitland, A.
- Should I label all scale points or just the end points for attitudinal questions?; 2009; Maitland, A.
