Web Survey Bibliography
The Internal Revenue Service (IRS) conducted a survey to measure the time and money that individuals spend on pre-filing and filing activities in response to the requirements of the U.S. federal tax system. The sampling frame was taxpayers who filed a 2007 income tax return in 2008.
The data collection protocol depended on whether the sampled taxpayer could be matched to a telephone number. Telephone numbers were found for approximately 76 percent of the sampled taxpayers and these were classified as ‘telephone matches’, the remainder are ‘nonmatches.’ Both groups were sent an initial mailing providing a detailed description of the purpose of the survey along with a letter from an IRS executive emphasizing the importance of the study and ensuring that the information collected would not be used for enforcement purposes. It also included a one-dollar bill as “an attention getter” and indicated that respondents would receive $25 if they completed the survey.
In the initial mailing, the telephone matches were informed they could wait for a call from the survey administrator or complete the survey on-line by going to a specified URL. The “non-matches” group members were sent a letter that provided the web address (URL) and were told a mail questionnaire was being sent.
The overall response rate was 47.7 percent. Of the three-fourths that were telephone matches (76.2 percent), the response rate for the matched cases was 51.6 percent; the response rate for the nonmatches (23.8 percent) was 35.2 percent. One interesting finding is that a surprisingly high percentage responded by the web. Overall, 28 percent of all the responses were completed on-line, which is higher than in other data collection efforts that have been reported in the literature.
This paper explores characteristics of respondents and non-respondents and highlights those who responded on-line.
Conference Homepage (abstract)
Web survey bibliography - The American Association for Public Opinion Research (AAPOR) 65th Annual Conference, 2010 (30)
- Offering a Web Option in a Mail Survey of Young Adults: Impact on Survey Quality; 2010; Turner, S., Viera Jr., L., Marsh, S. M.
- Investigating Data Quality in Cell Phone Surveying; 2010; Lavrakas, P. J., Tompson, T., Benford, R.
- The Role of Landline and Cell Phone Usage Patterns in Nonreponse Error Potential Among Young Adults...; 2010; Currivan, D. B., Levine, B., Mayo, Ni.
- Differences in Early and Late Responders: Findings from a Military Web-Based Community Survey.; 2010; Prabhakaran, J., Spera, C., Leach, L. M., Foster, R.
- Assessing Cell Phone Noncoverage Bias Across Different Topics and Subgroups; 2010; Christian, L. M., Keeter, S., Purcell, K., Smith, A.
- Using a Simulation Study to Examine Strategies for Combining Cell and Landline Survey Samples; 2010; Duffy, T., Bausch, S., Iachan, R., Lu, B.
- Representing Seniors in an Online National Probability Panel Survey: Measuring Technology Attitudes...; 2010; Peugh, J., Mansfield, W., Wells, T., Semans, K.
- Communicating Disclosure Risk in Informed Consent Statements; 2010; Singer, E., Couper, M. P.
- Meeting the Challenges of Converting a Large Establishment Survey from Paper to Electronic Administration...; 2010; Roe, D. J., Thalji, L., Loft, J., Flicker, L., Stockdale, J., Stagnitti, M.
- Assessing the Accuracy of the Face-to-Face Recruited Internet Survey Platform: A Comparison of Behavioral...; 2010; Villar, A., Malka, A., Krosnick, J. A.
- Internet Panels and Health Research: Findings from National RDD Surveys.; 2010; Boyle, J.
- Item Nonresponse Analysis for a Mixed-Mode Survey.; 2010; Lorenc, B., Olsson, K.
- Significant Factors Governing the Use of Auditory Stimuli in Web Questionnaires; 2010; Utami, S. S., Dawood, R., Navvab, M.
- The Subject Lines of Web Survey Invitations and Participation Rates; 2010; Titiz, H., Ziniel, S.
- Experimental Trial of Benefit Appeals on Completion Rates for the Agricultural Screening Survey; 2010; Atkinson, D., Moore, D., McCarthy, J. S.
- Using Overt and Covert Survey Traps to Maximize Data Quality; 2010; Cardador, J., Wayman, M., Sheridan, M.
- Professional Web Respondents and Data Quality; 2010; Conrad, F. G., Tourangeau, R., Couper, M. P., Zhang, C.
- Does Making The Survey Topic More Salient Lead To An Expert Bias? – The Influence of Announcing...; 2010; Keusch, F., Mayerhofer, W., Weilbuchner, N., Jungreithmaier, S.
- Time Related Inconsistencies in Global Online Panels; 2010; Gittelman, S. H., Trimarchi, E.
- Study of Non-Probability Sample Internet Surveys' Estimates of Consumer Product Usage and Demographic...; 2010; Yeager, D. S., Carter, A., Tewoldemedhin, H., Krosnick, J. A.
- An Experiment to Test the Feasibility and Quality of a Web-Based Questionnaire of Teachers; 2010; Jacob, R., Scott, L., Rowan, B.
- Impact of Monetary Incentives and Web Survey Option in the 2008 National Survey of Recent College Graduates...; 2010; Heaviside, S., Jang, D., Mooney, G., Barrett, K., Kang, K. H.
- Response Mode and Bias Analysis in the IRS' Individual Taxpayer Burden Survey; 2010; Masken, K., Contos, G., Nord, R., Brick, J. M.
- Diversity of Methods: Assessment of Quantitative and Qualitative Research Multiplier Effects.; 2010; Ballou, J., Roff, B., Anderson, M.
- Does Providing a Choice of Survey Modes Influence Response?; 2010; Lesser, V. M., Newton, L., Yang, D.
- Improving Response to Mail and Web Mixed-Mode Surveys: The Effects of Offering Choice on Survey Response...; 2010; Millar, M. M., Dillman, D. A.
- Potentials and Constraints of Propensity Score Weighting to Improve Web Survey Quality; 2010; Steinmetz, S., Tijdens, K.
- KnowledgePanel®: Processes & Procedures Contributing to Sample Representativeness & Tests for Self...; 2010; Dennis, J. M.
- The Effects of Different Incentives on Data Quantity and Data Quality in Online Panels; 2010; Singh, R. K., Voggeser, B. J., Goeritz, A.
- Maximizing a stratified ABS frame for nation-wide mail recruitment of a probability-based online panel...; 2010; DiSogra, C., Hendarwan, E.