Web Survey Bibliography
Relevance & Research Question
Internet surveys are by far the fastest and cheapest way to gather data, but longitudinal data are also a rich and valuable source of information for researchers and policy makers. Combining the advantages of the Internet and of longitudinal data collection through panels, Internet panels are increasingly used. Much research has been done about the difficulties to reach people for an Internet panel (Feskens et al., 2006, 2007; Schmeets et al., 2003; Stoop, 2005; Vis & Marchand, 2011). However, these studies mainly focused on background variables such as age, social economic status, marital status and origin. This paper investigates the role different personality characteristics play in Internet panels.
Methods & Data
Our research is conducted in the CentERdata LISS panel, which combines a probability sample and traditional recruitment procedure with online interviewing. The panel consists of about 5000 households representative of the Dutch speaking population. A specialty of this panel is that people without Internet access are provided with the necessary equipment so that they are able to participate in the panel.
Results
To investigate whether people with specific personality characteristics are more inclined to end their panel participation we use data from 2008, 2009 and 2010. More specifically, we look at whether people with specific characteristics of the Big V (measured by the 50 item IPIP questionnaire of Goldberg) are more inclined to leave the panel than others. In addition, we analyzed whether people with different personalities on survey attitude (consisting of items on survey enjoyment, survey value and survey burden) are more likely to stop participating. And finally, we look at the Inclusion of Others in the Self scale (Aron & Aron, 1992), which measures interpersonal closeness (and closeness to the panel).
Added Value
A lot of time, energy, and money is spent on building Internet panels. But what happens after that? This paper focuses on which personality traits play a role in panel attrition to optimize panel quality.
Conference Homepage (abstract) / (presentation)
Web survey bibliography - Internet access Panels (431)
- Exploring New Pathways to Survey Recruitment; 2012; Bilgram, V., Stadler, D.Jawecki, G.
- Data quality in MAWI and CAWI; 2012; Mavletova, A. M., Blasius, J.
- Scrutinizing Dynamics – Rolling panel waves in theory and practice; 2012; Faas, T., Blumenberg, J. N.
- FamilyVote – Conducting online surveys with children and families; 2012; Geissler, H., Peeters, H.
- Reducing the Threat of Sensitive Questions in Online Surveys; 2012; Couper, M. P.
- Data Use: Trying to bring the numbers alive ; 2012; Rung, J., Woll, B., Edstrom, C.
- Exploring Animated Faces Scales in Web Surveys: Drawbacks and Prospects; 2012; Emde, M., Fuchs, M.
- Reminders in Web-Based Data Collection: Increasing Response at the Price of Retention?; 2012; Goeritz, A., Crutzen, R.
- Web panels in Slovenia; 2011; Lenar, J.
- Less questions, more data: Revitalizing the european currency in single source affluent audience measurement...; 2011; Hartman, H.
- Using a Probability-based Online Panel to Survey American Jews; 2011; Wright, G., Phillips, B. T., Tobias, J., Peugh, J., Semans, K.
- Seasonal Yield Variation and Related Response Patterns in Address-based Mail Samples; 2011; DiSogra, C., Hendarwan, E.
- Peanuts and Monkeys: Incentivisation and engagement in online access panels; 2011; Marks, B.
- Establishing Cross-National Equivalence of Measures of Xenophobia: Evidence from Probing in Web Surveys...; 2011; Braun, M., Behr, D., Kaczmirek, L.
- Using Internet in Stated Preference Surveys: A Review and Comparison of Survey Modes; 2011; Lindhjem, H., Navrud, S.
- New Esomar survey on use of cookies and tracking technologies; 2011
- Google and Kantar develop measurement panel; 2011
- “You are Invited to Participate”: Challenges of Applying Mixed Survey Methods to Assess...; 2011; Chew, F.
- Classic Inspirations for Social Research Methodology in the time of Online Access Panels ; 2011; Jerabek, H.
- Beyond data stability: Rising above quality concerns; 2011
- Background - QSOAP; 2011
- The optimal number of response options in internet panel surveys; 2011; Thorsdottir, F.
- Online Research @ GESIS; 2011; Kaczmirek, L., Lenzner, T.
- E-dater, Artificial Actors, and German Households; 2011; Hebing, M.
- True Longitudinal and Probability-Based Internet Panels: Evidence from the Netherlands; 2011; Das, M., Scherpenzeel, A.
- Understanding Society Innovation Panel Wave 3: Results from Methodological Experiments; 2011; Burton, J., Budd, S., Gilbert, E., Jaeckle, A., McFall, S., Uhrig, S. C. N.
- The Effect of a Mixed Mode Wave on Subsequent Attrition in a Panel Survey: Evidence from the Understanding...; 2011; Lynn, P.
- The German Access Panel and the Impact of Response Propensities; 2011; Amarov, B., Enderle, T., Muennich, R., Rendtel, U., Zins, S.
- Methodological Issues in Internet-Mediated Research: A Randomized Comparison of Internet Versus Mailed...; 2011; Whitehead, L.
- Explaining Unit Nonresponse in Online Panel Surveys: An Application of the Extended Theory of Planned...; 2011; Haunberger, S.
- Nonparametric Tests of Panel Conditioning and Attrition Bias in Panel Surveys; 2011; Das, M., Toepoel, V., van Soest, A.
- Exploring Health-related Experiences and Access to Care: Differences between Online and Telephone Survey...; 2011; Doty, M. M., Peugh, J., Shand-Lubbers, J.
- Collaborative systems for enhancing the analysis of social surveys: the Grid Enabled Specialist Data...; 2011; Lambert, P., Warner, G., Doherty, T., McCafferty, S., Watt, J., Comerford, M., Gayle, V., Tan, L., Blum...
- Development of a Web-Based Survey for Monitoring Daily Health and its Application in an Epidemiological...; 2011; Sugiura, H., Ohkusa, Y., Akahane, M., Sano, T., Okabe, N., Imamura, T.
- A new approach to the analysis of survey drop-out. Results from Follow-up Surveys in the German Longitudinal...; 2011; Rossmann, J., Blumenstiel, J. E., Steinbrecher, M.
- Tracking the decision-making process – Findings from an Online Rolling Cross-Section Panel Study...; 2011; Faas, T.
- Rich Profiles – Or: What's the problem with self-disclosure data?; 2011; Tress, F.
- Who are leaving our panel: panel attrition and personality traits; 2011; Marchand, M.
- Mobile Research Apps – Adding New Capabilities to Market Research; 2011; Rieber, D.
- The influence of personality traits and motives for joining on participation behavior in online panels...; 2011; Keusch, F.
- Asking sensitive questions in a recruitment interview for an online panel: the income question; 2011; Schaurer, I., Struminskaya, B., Kaczmirek, L., Bandilla, W.
- Respondent Characteristics as Explanations for Uninformative Survey Response: Sources of Nondifferentiation...; 2011; Van Meurs, L., Klausch, L. T., Schoenbach, K.
- Individual differences in motivation to participate in online panels; 2011; Bruggen, E., Wetzels, M., de Ruyter, K., Schillewaert, N.
- DDI and the Lifecycle of Longitudinal Surveys; 2011; Hoyle, L., Wackerow, J.
- Dissemination of survey (meta)data in the LISS data archive; 2011; Streefkerk, M., Elshout, S.
- Does the direction of Likert-type scales influence response behavior in web surveys?; 2011; Keusch, F.
- Using propensity score matching to separate mode- and selection effects; 2011; Lugtig, P. J., Lensvelt-Mulders, G. J.
- Flexibility of Web Surveys: Probing 'do-not-know' over the Phone and on the Web; 2011; Hox, J., de Leeuw, E. D.
- Mode Effect or Question Wording? Measurement Error in Mixed Mode Surveys; 2011; de Leeuw, E. D., Hox, J., Scherpenzeel, A.
- Framing Effects and Expected Social Security Claiming Behavior; 2011; Brown, Je., Kapteyn, A., Mitchell, O. S.