Web Survey Bibliography
Internet panels are widely used in market research because they can provide samples of
relatively low incidence subpopulations quickly and at low cost. Critics argue these are non-probability
samples with known and unknown biases. Proponents argue that known demographic biases are
corrected by sample balancing and weighting. This study examines the potential usability of Internet
panels for non-commercial health research.
As part of a study of asthma and its management in the United States, two national surveys were
conducted by telephone in 2009. The first was a national probability sample of 2,500 persons with current
asthma, obtained by telephone screening of 60,000 households sampled by random digit dialing. The
second was a national sample of 1,090 adults sampled by RDD. In both samples, the respondents were
asked whether they participate in any internet panel surveys, which ones, and how often they are
contacted to participate in Internet surveys.
If Internet survey panelists are defined as persons who belong to panels and are contacted as
least once a month to participate in them, then the national RDD surveys suggests approximately five
percent of the adult population of the United States are Internet panelists. These Internet panelists
different from those who do not belong to Internet panels on a number of key demographic characteristics
including age, income, race and ethnicity, marital status, employment status and housing type.
Despite known demographic biases, can Internet panels provide representative samples of
relatively rare disease populations, like asthma? This paper compares the disease and treatment
characteristics of nearly two hundred Internet panelists with more than two thousand non-panelists from
the national RDD asthma patient survey. We find symptom and treatment characteristics are similar for
panel and non-panel members with asthma. Hence, Internet panels should not be dismissed out of hand
as a potential source for health research.
Conference Homepage (abstract)
Web survey bibliography (4086)
- The Rise of Survey Programming Automation as an Alternative to Outsourcing; 2010; Ahmed, A. S., Guyer, L.
- How is Emerging Technology/Web 2.0 Changing Gathering Consumer Feedback and the Delivery of Data? ; 2010; Price, K., Patel, N.
- Sexy Questions, Dangerous Results? - Exploring the Impact of Rich Media Question Formats in Online Survey...; 2010; Malinoff, B.
- Mobile Research: New Platform, New Thinking ; 2010; Johnson, A. J., Conry, S.
- Managing Quality in Large Multi-Country / Multi-Category / Multi-Modal Studies; 2010; Thompson, J.
- Mobile Research – The future’s in their hands: Exploring the Application of Digital Research...; 2010; Dodgson, S.
- Factorial Design on Survey Router Configuration Effect by Sample Source; 2010; Fawson, B., Johnson, E. P.
- Predicting the Future with Social Media ; 2010; Asur, S., Huberman, B. A.
- News Platform Preference: Advancing the Effects of Age and Media Consumption on Political Participation...; 2010; Bachmann, I., Kaufhold, K., Lewis, S. C., de Zuniga, H. G.
- ReCal: Intercoder Reliability Calculation as a Web Service ; 2010; Freelon, D. G.
- Statistics Canada's Process Automation of On-line Survey Development and CATI Data Integration; 2010; Dubois, M.-A.
- Recruiting Online Panel Members from a Mail survey in the General Population: Results from an Exploratory...; 2010; Reuband, K. H.
- Operational Aspects of Recruiting High Internet Users via a CATI Screening on an RDD Frame; 2010; Batra, P.
- Uses of YouTube, and Other Web 2.0 Applications, in Data Collection; 2010; Franklin, J.
- Towards Usage of Web 2.0 Technology and Avatars for Web Surveys; 2010; Malakhoff, L.
- Technical Challenges in the Development and Implementation of QUEST (CARI Monitoring System); 2010; Sattaluri, S., Spain, C., Nguyen, M., Thissen, R.
- Off-the-shelf Web Software: Qualtrics; 2010; Warren, N.
- Web Based Paper Form Verification Using QueXF; 2010; Zammit, A.
- Cell Connectivity Options for Field Interviewing ; 2010; Nofziger, J., Griggs, C.
- Advance Notice Impact on Web Reporting Response Rates; 2010; Gomes, T., Harrell, L. J., Hatch Maxfield, J., Hertwig, R.
- Normalized Database Structure to Support Survey Fulfillment Operations; 2010; Sikes, N., Pittman, J., Hazel, K.
- Hatteras Survey System: On-path Validation for a Non-linear Survey Engine; 2010; Suresh, R., Allen, S., Peele, B., Rasmussen, C., Sattler, S., Suresh, P., Warmoth, E.
- When the water is right.; 2010; Andruss, P.
- 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.
- Participant Dropout as a Function of Survey Length in Internet-Mediated University Studies: Implications...; 2010; Hoerger, M.
- Internet Access: Is Everyone Online Yet and Can We Survey Them There?; 2010; Smith, Co., Spitz, G.
- Panel management in a mixed-mode (Web/mobile) research world ; 2010; Townsend, L.