Web Survey Bibliography
(a) Relevance & Research Question:
With the Internet as a new data collection mode, traditional survey methodology needs to be reconsidered. The increasing popularity of web surveys triggered a heated debate about their quality for scientific use, and created a demand for appropriate web survey methodology. The most obvious disadvantage of web surveys is that they may not be representative of the general population because the sub-population with Internet access is quite specific. In this context, propensity score adjustment (PSA) has been proposed to statistically surmount inherent problems, particularly in non-probability-based web surveys. In PSA procedures, a parallel probability-based reference survey is used to estimate the propensities of being in the web sample based on a vector of covariates (socio-demographic and ‘webographic’ variables) measured in both samples. Appropriate covariates are crucial to the method. Therefore, the paper will explore the efficiency of PSA and the power of webographics in adjusting biases arising from non-randomized sample selection.
(b) Methods & Data:
The un-weighted and weighted results from the Dutch volunteer web sample of the WageIndicator Survey 2009 will be compared with data from the Dutch LISS Panel that has been collected in parallel. The advantage of this reference survey is that it provides a proper probability sample stemming from the same questionnaire. Survey mode effects can be excluded, as both questionnaires are completed individually on the computer. The application will also examine the sensitivity of results, particularly with regard to changes in the specification of the propensity score and the selected covariates.
(c) Results:
The study is an extension of previous findings which have been analyzed in the framework of the project “Improving web survey methodology”. As new data (particularly a new reference survey) have been collected in October 2009, the paper will present up-to-date results that are not available yet .
(d) Added Value:
In the scientific community, there is a minimal amount of evidence for the applicability of PSA to surveys. Consequently, the paper opens new perspectives, particularly for web survey methodology, and is likely to serve as a basis for more extensive studies on this topic.
GOR Homepage (abstract)
AAPOR 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.