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.
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).
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 (6389)
- Probabilistic survey questions and incorrect answers: Retirement income replacement rates; 2012; van Santen, P., Alessie, R., Kalwij, A.
- Survey Quality; 2012; Lyberg, L. E.
- Combining Mail and E-Mail Contacts to Facilitate Participation in Mixed-Mode Surveys; 2012; Israel, G. D.
- Effects of E-Mailed Versus Mailed Invitations and Incentives on Response Rates, Data Quality, and Costs...; 2012; Dykema, J., Stevenson, J., Klein, L., Kim, Y., Day, B.
- Prenotification, Incentives, and Survey Modality: An Experimental Test of Methods to Increase Survey...; 2012; Tepper, J. R., Jacob, B.
- Measuring Work Activities and Skill Requirements of Occupations: Experiences from a European Pilot Study...; 2012; Tijdens, K., De Ruijter, E., De Ruijter, J.
- Using Free Online Survey Software in Your Teaching; 2012; Chippindall, J.
- Reaching and Hearing the Invisible: Organizational Research on Invisible Stigmatized Groups via Web...; 2012; Trau, R. N. C., Haertel, C. E. J., Haertel, G. F.
- Comparability of Survey Measurements; 2012; Oberski, D.
- Why People Agree to Participate in Surveys; 2012; Albaum, G., Smith, S. M.
- Unit Non-Response Due to Refusal; 2012; Stoop, I.
- Classification of Surveys; 2012; Stoop, I., Harrison, E.
- What Survey Modes are Most Effective in Eliciting Self-Reports of Criminal or Delinquent Behavior?; 2012; Kleck, G., Roberts, K.
- Non-Response and Measurement Error; 2012; Billiet, J., Matsuo, H.
- An Overlooked Approach in Survey Research: Total Survey Error; 2012; Bautista, R.
- An assessment of equivalence between Internet and paper-based surveys: evidence from collectivistic...; 2012; Fang, J., Wen, C., Prybutok, V.
- Effects of Incentives in Surveys; 2012; Toepoel, V.
- Using screen video capture software to aide and inform cognitive interviewing; 2012; Chaney, B. H., Barry, A. E., Chaney, J. D., Stellefson, M. L., Webb, M. C.
- Respondents Cooperation: Demographic Profile of Survey Respondents and Its Implication; 2012; Glaser, P.
- Costs and Errors in Fixed and Mobile Phone Surveys; 2012; Vehovar, V., Slavec, A., Berzelak, N.
- E-Mail Surveys; 2012; Mesch, G.
- Does survey experience affect respondents’ reported level of satisfaction?; 2012; Schultz Christensen, A., Ladenburg, J.
- Building Your Own Online Panel Via E-Mail and Other Digital Media; 2012; Toepoel, V.
- Data Quality in HIV/AIDS Web-Based Surveys: Handling Invalid and Suspicious Data; 2012; Bauermeister, J. A., Pingel, E., Zimmerman, M., Couper, M. P., Carballo-Diéguez, A., Strecher, V. J.
- Response rates in three opinion surveys performed through online questionnaires in the health setting...; 2012; Aerny Perreten, N., Domínguez-Berjón, M. F., Astray Mochales, J., Esteban-Vasallo, M. D., Blanco Ancos...
- Use of Web 2.0 to Recruit Australian Gay Men to an Online HIV/AIDS Survey; 2012; Theriault, N., Bi, P., Hiller, J. E., Nor, M.
- Web and Mail Surveys: An Experimental Comparison of Methods for Nonprofit Research; 2012; Lin, W., Van Ryzin, G. G.
- Evaluation of an online (opt-in) panel for public participation geographic information systems surveys...; 2012; Brown, G., Weber, D., Zanon, D., de Bie, K.
- The World's Simplest Survey Microsimulator (WSSM); 2012; Karr, A. F., Cox, L. H.
- Survey Data Collection and Integration; 2012; Davino, C., Fabbris, L.
- Detecting Satisficing In Online Surveys: What we found ; 2012; Salifu, S.
- Developing an Online GIS-based Survey Instrument to Elicit Perceived Neighborhood Information for Environmental...; 2012; Carr, J., Johnson, I., Keene, R., Landry, P., Gradeck, R., Lucht, J., Beach, S., Clougherty, J.
- Challenges of assessing the quality of a prerecruited probability-based panel of internet users in...; 2012; Struminskaya, B., Kaczmirek, L.
- Item comparability in cross-national surveys: results from asking probing questions in cross-national...; 2012; Behr, D., Braun, M., Kaczmirek, L., Bandilla, W.
- Assessing Cross-National Equivalence of Measures of Xenophobia: Evidence from Probing in Web Surveys; 2012; Behr, D., Braun, M., Kaczmirek, L.
- Impact and the Research Excellence Framework: New challenges for universities; 2012; Grant, J.
- Mobile Befragungen: Was Big Data mit kleinen Geräten zu tun hat; 2012
- Studying Migrants with the Help of the Internet: Methods from Psychology; 2012; Reips, U. -D., Buffardi, L.
- Impact of Fixed Choice Design on Blockmodeling Outcomes; 2012; Znidarsic, A.
- Panel Conditioning in Online Survey Panels: Problems of Increased Sophistication and Decreased Engagemeent...; 2012; Adams, A. N., Atkeson, L. R., Karp, J. A.
- Efficiency of Different Recruitment Strategies for Web Panels; 2012; Hansen, K. M., Pedersen, R. T.
- Understanding Mode Effects between Mobile Web and Mobile SMS Surveys; 2012; Poduska, B., Johnson, P.
- Improving Representativeness In Online Surveys Using A Combined Internet/Postal Approach: Evidence From...; 2012; Atorough, P., Donaldson, B., Harris, A.
- Paper-and-Pencil versus Web Administration of a Student Satisfaction Survey; 2012; Bowen, C.-C.
- Toward Understanding Response Sequence in Check-All-That-Apply Web Survey Questions: A Research Note...; 2012; Stern, M. J., Bilgen, I., Rookey, B. D.
- The Mode of Invitation for Web Surveys; 2012; Bandilla, W., Couper, M. P., Kaczmirek, L.
- Encouraging Survey Response via Smartphones: Effects on Respondents’ Use of Mobile Devices and...; 2012; Dillman, D. A., Millar, M. M.
- Surveying Rare Populations Using a Probabilitybased Online Panel; 2012; Peugh, J., Wright, G.
- Methods for Improving Response Rates in Two-Phase Mail Surveys; 2012; Brick, J. M., Andrews, W. R., Brick, P. D., King, H., Mathiowetz, N. A., Stokes, L.
- Latent class analysis of response inconsistencies across modes of data collection; 2012; Yan, T., Kreuter, F., Tourangeau, R.