Web Survey Bibliography
Personal interest for a survey topic has proved to ubstantially influence the decision to participate in mail (Dommeyer 1985, Heberlein/Baumgartner 1978, Martin 1994) as well as web surveys (Galesic 2006, Marcus et al. 2007, Porter/Whitcomb 2005). According to the ‘Leverage Salience Theory’ of Groves, Singer and Corning (2000) the decision to take part is not only based on the different attributes of the given survey (e.g. topic, sponsor, length etc.) but will also be influenced by how salient those attributes are made to the invitee. Invitations for web surveys in online access panels therefore usually leave this information out to reduce the risk of an expert bias (Bethlehem/Stoop 2007). This study aims to bring forward whether online access panel members use the information about the survey topic in e-mail invitations in their decision on participating in web surveys.
In a preliminary study data about personal interest, attitudes and other psychographic variables of 1.670 panel members were collected. Panelists were then randomly assigned to participate in one of two surveys about different topics (insurances and holidays). The e-mail invitations to these surveys were manipulated. Panelists either received an e-mail with the topic stated in the subject line as well as the invitation text, an e-mail message where only the text referred to the topic or an e-mail without any information about the survey topic. The influence of announcing the topic in the e-mail was measured on response rate and different indicators of data quality (response latency, item omission, answer length to open-ended questions, non-differentiation in grids).
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.