Web Survey Bibliography
(a) Relevance & Research Question:
Due to the dropping penetration rate of landline telephones and a general decline in the willingness to participate in telephone surveys, data collection using online methods – especially online access panels – are becoming more popular all over the world. Though widely adopted among marketing researchers critics still fear that the new sampling methodology leads to biased results produced by a breed of survey-savvy volunteer respondents who are solely interested in monetary incentives and therefore cannot be compared to the general population. This study seeks to give in-depth insight into the personality of online panelists by analyzing their motives for joining the pool as well as their personality traits (Big Five, materialism).
(b) Methods & Data:
In a survey among 1,729 members of an Austrian online access panel participants were asked to answer standardized scales measuring materialism (Richins 1987) and the Big Five personality traits (Rammstedt & John 2005). In addition they had to name the reasons for joining the online panel. The data was then analyzed for its influence on participation behavior in the pool during the last 13 month.
The results show that money is a relevant motive but not the dominating reason for becoming an online panel member. It is also found that psychographic characteristics have rather little influence on participation behavior within the panel.
(d) Added Value:
The use of personality traits to predict participation behavior in surveys in general and online panels in particular is virtually unknown in the literature. This study is the first that examines the influence of those factors in an online panel environment.
Conference Hompeage (abstract) / (presentation)
Web Survey Bibliography - Noncoverage & sampling (1291)
- Online Survey – Research with children on advertising impact; 2013; Funkenweh, V., Busch, J., Amthor, A. L., Boeer, A., Gaedke, J.
- Metadata on the demographics of online research: Results from a full-range study of available online...; 2013; Burger, C., Stieger, S.
- How the screen-out influence the dropout of a commercial panel; 2013; Bartoli, B.
- Break-off and attrition in the GIP amongst technologically experienced and inexperienced participants...; 2013; Blom, A. G., Bossert, D., Clark, V., Funke, F., Gebhard, F., Holthausen, A., Krieger, U., Wachenfeld...
- Nonresponse and Nonresponse Bias in a Probability-Based Internet Panel; 2013; Blom, A. G., Bossert, D., Funke, F., Gebhard, F., Holthausen, A., Krieger, U.
- Effects of incentive reduction after a series of higher incentive waves in a probability-based online...; 2013; Struminskaya, B., Kaczmirek, L., Schaurer, I., Bandilla, W.
- Mixed-mode including web: Recent developments at Statistics Netherlands; 2013; Luiten, A., Schouten, B.
- Web coverage in the UK and its potential impact on general population web surveys; 2013; Callegaro, M.
- Experiences from a probability-based Internet panel: Sample, recruitment and participation; 2013; Scherpenzeel, A.
- Participation and engagement in web surveys of the general population: An overview of challenges and...; 2013; Roberts, C.
- Using Web Survey Panels to Estimate Population Characteristics: A Comparison of Alternative Approaches...; 2013; Rivers, D.
- The ONS Beyond 2011 Programme & possible implications for social surveys; 2013; Morris, L.
- Issues of Coverage and Sampling in Web Surveys for the General Population: An Overview; 2013; Lynn, P.
- Use of a Social Networking Web Site for Recruiting Canadian Youth for Medical Research; 2013; Chu, J. L., Snider, C. E.
- The smartphone in survey research: experiments for time use data; 2013; Fernee, H., Scherpenzeel, A.
- Understanding and Applying Research Design; 2013; Abbott, M. L., McKinney, J.
- Large-Scale Analysis and Testing; 2013; Cao, M., Zhang, Q.
- Virtual Research Methods; 2013; Hine, C.
- Surveying “difficult-to-sample” backpackers through Facebook? Employing a mixed-mode dual...; 2013; Morris Paris, C.
- Convenient yet not a convenience sample: Jury pools as experimental subject pools; 2013; Murray, G. R., Rugeley, C. R., Mitchell, D.-G., Mondak, J. J.
- The equivalence of Internet versus paper-based surveys in IT/IS adoption research in collectivistic...; 2013; Fang, J., Wen, C., Prybutok, V.
- Incentives for college student participation in web-based substance use surveys; 2013; Patrick, M. E., Singer, E., Boyd, C. J., Cranford, J. A., McCabe, S. E.
- Sample composition discrepancies in different stages of a probability-based online panel; 2013; Bosnjak, M., Haas, I., Galesic, M., Kaczmirek, L., Bandilla, W., Couper, M. P.
- A comparison of data quality and practicality of online versus postal questionnaires in a sample of...; 2013; King, M. T., Butow, P., Olver, I., Smith, A. B.
- The rise of the "connected viewer"; 2012; Smith, A., Boyles, J. L.
- The effects of item saliency and question design on measurement error in a self-administered survey; 2012; Stern, M. J., Smyth, J. D., Mendez, J.
- Smartphone ownership update: September 2012; 2012; Rainie, L.
- Research company spotlight - Mobile surveys; 2012
- Participation of mobile users in traditional online studies; 2012; Jue, A.
- More dirty little secrets of online panel research.; 2012
- Mobile email opens report 2nd half 2011; 2012
- Guide to social science data preparation. Best practice throughout the data life cycle; 2012
- GMI Pinnacle; 2012
- Social media as a data collection tool: the impact of Facebook in behavioural research; 2012; Zoppos, E.
- Smartphone Apps and User Engagement: Collecting Data in the Digital Era; 2012; Link, M. W.
- Snowball Sampling in Online Social Networks; 2012; Raissi, M., Ackland, R.
- The Use of Facebook as a Locating and Contacting Tool; 2012; McCarthy, T.
- The war against unengaged online respondents; 2012; Gittelman, S. H., Trimarchi, E.
- Qualitatively Speaking: The five absolute, no-excuse must-dos for online qualitative researchers; 2012; Rossow, A.
- By the Numbers: Lessons for using online panels in B2B research; 2012; Elsner, N.
- Experience Sampling and Ecological Momentary Assessment; 2012; Stone, A.
- Can Microtargeting Improve Survey Sampling? An Assessment of Accuracy and Bias in Consumer File Marketing...; 2012; Pasek, J.
- Cognitive Evaluation of Survey Instruments: State of the Science (Art?) and Future Directions; 2012; Willis, G. B.
- Oh, Just One More Thing … Leveraging “Leave-Behinds” in Data Collection; 2012; Link, M. W.
- Can Offcial Records Correct Errors in Turnout Self-reports?; 2012; Berent, M., Krosnick, J. A., Lupia, A.
- Modes of Data Collection; 2012; Tourangeau, R.
- Probability vs. Non-probability Methods; 2012; Langer, G,
- Sampling for Single and Multi-Mode Surveys using Address-Based Sampling; 2012; O'Muircheartaigh, C.
- Proxy Reporting; 2012; Cobb, C. L.
- Measure the response burden in the Swedish Intrastat system; 2012; Weideskog, F.