Web Survey Bibliography
Web surveys are an efficient data collection mode if surveys are sent out within an organization. While the survey period is shorter compared to other modes and can provide results sooner, web surveys generally suffer from low response rates. Numerous studies have been conducted on increasing response rates in web surveys using incentives, reducing length, multiple contacts, and alike. However, the work on how the subject line of the invitation email affects the likelihood of participation is limited. One study reports that for groups less attached to the study sponsor, there was a significant difference in subjects’ participation when different subject line contents were used. The respondents with high attachment to the sponsor did not show any significant differences in participation across different subject lines (Porter & Whitcomb, 2005). Another study shows a difference in favor of email subject lines that are in a “plea” rather than an “offer” format (Trouteaud, 2004). Survey fatigue has been an increasing concern for the field of survey research. Researchers at Children’s Hospital Boston/Harvard Medical School receive numerous web survey invitations per month. One such survey is the Children’s Hospital Boston’s Clinical Research Program annual service satisfaction survey. Using this survey we implemented a 2x2 experiment with regard to the subject line of the invitation email. We hypothesized that the use of the word “survey” itself in the subject line diminishes the likelihood of participation because of the participants’ survey fatigue. We also expected to replicate Trouteaud’s results with respect to the use of “plea” versus “offer” format in the invitation email’s subject line. The participants were randomly assigned to each of the four conditions. This study, therefore, allows us to examine if the content of the subject line of the invitation email to a web survey influences the likelihood to respond.
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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.