Web Survey Bibliography
Relevance & Research Question: Mobile Web surveys – i.e., online questionnaires that are accessed with mobile devices like smartphones – offer new possibilities for both behavioral research and consumer research. The aim of our study is to gain more insight into the potential of mobile Web surveys like speed, contacting hard-to-reach populations, or using location data.
Methods & Data: Participants (N = 1501) were recruited from the LINK online panel where all members are actively recruited subsequent to representative telephone interviews. Thus, there is no heavy-user bias, which often can be observed in access panels (see Wachenfeld, 2010). Overall, the panel aims to be representative for the general German Internet population.
Results: Overall 43% of German Internet users have a smartphone at their disposal. Most users (60%) would use a mobile device to participate in a Web survey. However, in the present study only 11% participated using a cell phone. The main reasons were time considerations (24%), not feeling like it (17%), and not knowing that it was possible (12%). As expected, participants using cell phones were more likely to be abroad instead of at home. A further insight is that nearly half of the smartphone owners would allow the read-out of their actual location (e.g., using GPS).
Added Value: Findings are representative for the German Internet users. Overall, there is a considerable potential for mobile Web surveys. New possibilities for mobile data collection (e.g., point of sale studies or mixed-mode designs) as well as the impact on data quality are discussed.
GOR Homepage (abstract)
Web survey bibliography - Germany (361)
- 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.
- Beyond methodology - some ethical implications of "doing research online"; 2013; Heise, N.
- Innovation in Data Collection: the Responsive Design Approach; 2013; Bianchi, A., Biffignandi, S.
- 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.
- Rewards - Money for Nothing?; 2013; Cape, P. J., Martin, P.
- 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.
- Timing of Nonparticipation in an Online Panel: The effect of incentive strategies; 2013; Douhou, S., Scherpenzeel, A.
- How Do Lotteries and Study Results Influence Response Behavior in Online Panels?; 2013; Goeritz, A., Luthe, S. C.
- 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.
- Web-based data collection yielded an additional response bias—but had no direct effect on outcome...; 2012; Mayr, A., Gefeller, O., Prokosch, H.-U., Pirkl, A., Froehlich, A. de Zwaan, M.
- Passive measurement of online data in Practice - A White Paper Wakoopa; 2012
- Metering mobile usage. Insights from global Arbitron mobile trends panel; 2012; Verkasalo, H.
- Is „chapterisation“ a viable alternative to traditional progress indicators ?; 2012; Spicer, R., Dowling, Z.
- Online Questionnaires: Development of ‘basic requirements’; 2012; Tries, S., Blanke, K.
- Pros and cons of Internet based User Satisfaction Surveys; 2012; Consoli, A., Matsulevits, L.
- Between demand and reality: Ensuring efficiency and quality in pretesting questionnaires; 2012; Sattelberger, S., Blanke, K.
- How to provide high data quality in online-questionnaires: Setting guidelines in design; 2012; Tries, S., Nebel, S., Blanke, K.
- WebSM Study: Survey software features overview ; 2012; Vehovar, V., Cehovin, G., Kavcic, L., Lenar, J.
- Challenges of assessing the quality of a prerecruited probability-based panel of internet users in...; 2012; Struminskaya, B., Kaczmirek, L.
- Assessing Cross-National Equivalence of Measures of Xenophobia: Evidence from Probing in Web Surveys; 2012; Behr, D., Braun, M., Kaczmirek, L.
- Comparing Ranking Techniques in Web Surveys; 2012; Blasius, J.
- Design of CAWI Instruments for Social Surveys ; 2012; Blanke, K.
- Enhancing Web Surveys With New HTML5 Input Types; 2012; Funke, F.
- The German Internet Panel: First Results from the Recruitment Phases; 2012; Blom, A. G.
- Assessing the Magnitude of Non-Consent Biases in Linked Survey and Administrative Data; 2012; Sakshaug, J. W., Kreuter, F.
- Marktforschung mit dem iPad-Panel von Axel Springer Media Impact; 2012
- Effects of Personalized Versus Generic Implementation of an Intra-Organizational Online Survey on Psychological...; 2012; Mueller, K., Straatmann, T., Hattrup, K., Jochum, M.
- Exploring New Pathways to Survey Recruitment; 2012; Bilgram, V., Stadler, D.Jawecki, G.
- Does Mode Matter? Initial Evidence from the German Longitudinal Election Study (GLES); 2012; Blumenstiel, J. E., Rossmann, J.
- Surveytainment 2.0: Why investing 10 more minutes more in constructing your questionnaire is worth considering...; 2012; Muehle, A., Tress, F., Schmidt, S., Winkler, T.
- Market research online community (MROC) versus focus group; 2012; Zuber, M.
- 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.
- Little experience with technology as a cause of nonresponse in online surveys; 2012; Struminskaya, B., Schaurer, I., Kaczmirek, L., Bandilla, W.
- Continuous large-scale volunteer web-surveys: The experience of Lohnspiegel and WageIndicator; 2012; Oez, F.
- Is Pretesting Established Among Online Survey Tool Users?; 2012
- An Evaluation of Two Non-Reactive Web Questionnaire Pretesting Methods; 2012; Lenzner, T.
- High potential for mobile Web surveys: Findings from a survey representative for German Internet users...; 2012; Funke, F., Wachenfeld, A.
- Can Social Media Research replace traditional research methods?; 2012; Faber, T., Einhorn, M., Hofmann, O., Loeffler, M.
- Bad Boy Matrix Question – Whatcha gonna do when they come for you?; 2012; Tress, F.
- Effects of Static versus Dynamic Formatting Instructions for Open-Ended Numerical Questions in Web Surveys...; 2012; Kunz, T., Fuchs, M.
- FamilyVote – Conducting online surveys with children and families; 2012; Geissler, H., Peeters, H.
- Assessing the Quality of Survey Data ; 2012; Blasius, J.
- 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.
- Effects of speeding on satisficing in Mixed-Mode Surveys; 2011; Bathelt, S., Bauknecht, J.
- Mixing modes in the LFS - Computer-assisted, cost effective and respondent friendly; 2011; Koerner, T., van der Valk, J.
- Establishing Cross-National Equivalence of Measures of Xenophobia: Evidence from Probing in Web Surveys...; 2011; Braun, M., Behr, D., Kaczmirek, L.