Web Survey Bibliography
It can be argued that consumers have more complete information when shopping for a new car than researchers have in selecting a web panel provider. While there are clearly
more makes and models of cars than there are web panels, there is a paucity of information to help the researcher determine which panels are the most accurate and reliable. The car industry over time has had to compete on their autos’ features, quality, and prices, with necessary information being disclosed by the manufacturers that allow independent third parties to rate the cars on all these dimensions. Consumers can even test drive cars before purchasing them; it’s pretty hard to test drive a web panel. This is why methodological research evaluating web panels is vital.
Evaluating web panels at first appears deceptively simple because there are only two types of web panels. First, there are Non-Volunteer Access Panels (NVAP), in which potential panel members are chosen by the research company using a statistically valid sampling method and using a known published sampling frame for that recruitment to establish panel representativeness. Examples of statistically valid sample frames are listassisted random digit dialing (RDD) samples and the United States Postal Services (USPS) Delivery Sequence File of residential addresses. KnowledgePanel® typifies the NVAP model.2 In contrast, the second type of web panel, the Volunteer Access Panel (VAP), is made of respondents that can join from any venue, including email, spam, web or print ads, or by word of mouth. VAPs are sometimes called “opt-in” or “nonprobability” web panels.
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Web Survey Bibliography - Internet access Panels (460)
- Quality of a probability-based online panel for the social sciences in Germany: first results.; 2011; Bandilla, W., Kaczmirek, L., Schaurer, I., Struminskaya, B.
- Answer behavior in a probability based internet panel; 2011; Vis, C., Wijnant, A.
- Can Tailor-made Questions Motivate Respondents in an Internet Panel?; 2011; Oudejans, M.
- Why do Internet panel members become inactive and how can they be re-activated?; 2011; Scherpenzeel, A.
- Noncoverage and Nonresponse in a Probability Based Mixed-Mode Access Panel; 2011; Bartsch, S., Engel, U., Vehre, H.,
- Surveying the General Population: Coverage bias in European Web Surveys; 2011; de Leeuw, E. D., Hox, J., Mohorko, A.
- Examination of Panel Conditioning Effects in a Web-Based 2007-2008 Election Study.; 2011; Dennis, J. M., Kruse, Y., Tompson, T.
- Response Quantity, Response Quality, and Costs of Building an Online Panel via Social Contacts.; 2011; Toepoel, V.
- The Use of Web Panels to Characterize Rare Conditions.; 2011; Boyle, J.
- Same Family, Different Planet: Comparing the Views of Teens and Parents on Their Relationship and Potential...; 2011; Vaughan, R., Feinstein, E. C., Peugh, J., Shand-Lubbers, J.
- Category Selection Probing in Online Access Panels.; 2011; Behr, D., Kaczmirek, L., Braun, M., Bandilla, W.
- Results of a Survey Experiment on Frequency Reporting: Religious Service Attendance from the 2010 ANES...; 2011; Debell, M., Figueroa, L.
- Are you who you say you are? Using a Multisource Cross-validation Methodology for Panel Membership Information...; 2011; Rao, K., Dolson, T., Kinnucan, M.
- Differential Sampling Based on Historical Individual-Level Data in Online Panels.; 2011; Kelly, R. H.
- How Can We Believe What They Say? The Role of Missing and Validating Data in Panelists; 2011; Rao, K.
- Re-Examining the Validity of Different Survey Modes for Measuring Public Opinion in the U.S.: Findings...; 2011; Ansolabehere, S.; Fraga, B.; Schaffner, B. F.
- Does question order influence sensitivity to scope? Empirical findings from a web-based contingent valuation...; 2011; Nielsen, J. S., Kjaer, T.
- Formative Research on MySpace: Online Methods to Engage Hard-to-Reach Populations ; 2011; Levine, D., Madsen, A., Wright, E., Barar, R. E., Santelli, J., Bull, S.
- Estimating Propensity Adjustments for Volunteer Web Surveys; 2011; Valliant, R. L., Dever, J. A.
- Use these five Web-based approaches to shrink your research timelines, costs ; 2011; Cutler, A. D.
- Online qualitative approaches: an appraisal; 2011; Parker, K.
- The impact of next and back buttons on time to complete and measurement reliability in computer-based...; 2010; Gershon, R. C. et al.
- Research synthesis. AAPOR report on online panels; 2010; Brick, J. M. et al.
- Recruiting probability samples for a multi-mode research panel with Internet and mail components; 2010; Rao, K.
- Real ID. State of The Art Representative and Repeatable Online Samples. Behaviorally Profiled Respondents...; 2010; Gittelman, S. H., Trimarchi, E.
- Overview of data collection methodology; 2010
- Machines that lean how to code open ended survey data; 2010; Esuli, A., Sebastiani, F.
- Ekos' observation of MRIA study - Canadian online panels: similar or different?; 2010
- The Future of Internet Research; 2010; Lavrakas, P. J.
- Why are we trying to create new communities for market research purposes?; 2010; Pearson, C., Kateley, V.
- Online panel survey, Change and stability of political attitudes; 2010
- The Internet, Electoral Politics and Citizen Participation in Global Perspective; 2010; Gibson, R., Cantijoch, M.
- Challenges in Reaching Hard-to-Reach Groups in Internet Panel Research; 2010; Marchand, M., Vis, C.
- How Representative Are Online Panels? Problems of Coverage and Selection and Possible Solutions; 2010; Bethlehem, J., Scherpenzeel, A.
- True Longitudinal and Probability-Based Internet Panels: Evidence from the Netherlands; 2010; Das, M., Scherpenzeel, A.
- Continuity and Innovation in the Design of Understanding Society: the UK Household Longitudinal Study...; 2010; Laurie, H.
- Understanding Society Innovation Panel Wave 2: Results from Methodological Experiments ; 2010; Burton, J., Laurie, H., Uhrig, S.C. N.
- Update on the ARF’s Quality Enhancement Process (QeP); 2010; Pettit, R.
- From clipboards to online research communities; 2010; Poynter, R., Cierpicki, S., Lorch, J., Zuo, B., Davis, C., Eddy, C.
- Digital, Social Moms: Using Social Media to Increase Respondent Engagement and Decrease Recruiting Costs...; 2010; Stemberg, C., Rimmer, L., Weinstein, D.
- How is Emerging Technology/Web 2.0 Changing Gathering Consumer Feedback and the Delivery of Data? ; 2010; Price, K., Patel, N.
- Factorial Design on Survey Router Configuration Effect by Sample Source; 2010; Fawson, B., Johnson, E. P.
- Participant Satisfaction and Panel Member Retention; 2010; Portner, A.
- Conditioning Effects in Online Communities; 2010; Cape, P. J.
- Looking Beyond Quality Differences: How Do Consumer Buying Patterns Differ by Sample Source?; 2010; Baker-Prewitt, J.
- Recruiting Online Panel Members from a Mail survey in the General Population: Results from an Exploratory...; 2010; Reuband, K.H.
- An Examination of Panel Conditioning in an Advertising Tracking Study with Cross-Sectional Design; 2010; Anderson, A. J., Marsh, K. A., Turner, S., Marsh, S. M.
- 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.
- Assessing the Accuracy of the Face-to-Face Recruited Internet Survey Platform: A Comparison of Behavioral...; 2010; Villar, A., Malka, A., Krosnick, J. A.

