Web Survey Bibliography
Relevance & Research Question
The amount of user-generated content (UGC) in social media is rising constantly. More and more consumers exchange their product and brand experiences using social media platforms. For this reason an in-depth analysis of content in social media seems to be an attractive alternative to traditional research methods because data is already available and at first glance it only has to be analyzed. A joint project between Dr. Ing. h.c. F. Porsche AG and the market research agency SKOPOS examines, whether and to what extent social media analysis is able to provide valid results to specific research questions. In what cases and when does social media analysis replace traditional research and when does it reach its limitations?
Methods & Data
Initially focus groups and quantitative online surveys were conducted in Germany and the U.S. to examine target group specific needs and satisfaction measures during different phases of the customer journey. Later social media was analyzed in order to check for the validity of the method and for additional benefits.
Results
There are numerous internet platforms which exclusively cover Porsche vehicles, service and the brand itself. They contain plenty of consumer opinions that are certainly worth noticing. Especially in this study the results of social media research could not replace the traditional research but provide valuable additional insights, e. g. ideas, explanations and backgrounds for the initial results.
Added Value
The presentation shows the advantage of mixing traditional research methods and the analysis of existing social media content. It identifies possible additional insights which complement traditional research results. The approach of creating additional value by analyzing existing data in social media focuses on innovative and creative insights in research questions.
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.