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.
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.
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 - Noncoverage & sampling (1291)
- Using Technology to Conduct Questionnaire Evaluations with Hard to Reach Populations ; 2013; Ridolfo, H., Ott, K.
- A Multi-Survey, Multi-Methodological Assessment of Perception of Need and Quality of Life: Opinion Polling...; 2013; Levy, D.,
- Will Snowball Sampling Leave Your Data in the Cold?; 2013; Cavallaro, K.
- Cognitive Interviewing in Online Modes: a Comparison of Data Collected in Second Life and Skype; 2013; Swicegood, J. E., Head, B., Dean, E., Keating, M.
- Web Versus Outbound: A Mode Face-Off Following the Presidential Debate; 2013; Marlar, J.
- Predicting Survey Breakoff in Internet Survey Panels; 2013; Al Baghal, T., McCutcheon, A. L., Tsabutashvili, D.
- Using GIS to Target Address-Based Samples of Households for a Web (vs. Mail) Response: Evidence from...; 2013; Messer, B. L.
- Is Pushing the General Public to the Web in Address-Based Samples Cost Effective?; 2013; Lesser, V. M.
- Effects of Survey Sponsorship on Internet and Mail Response: Using Address- Based Sampling; 2013; Edwards, M. L.
- Social Network Analysis and Survey Response: How Facebook Data Can Supplement Survey Data; 2013; Sage, A.
- Response Format Effects in the Measurement of Employment; 2013; Rodkin, S., Thomas, R. K., Subias, S., Chu, C.
- Cross-Platform Measurement: User Experience With a Smartphone and Web Self- Reported Data Collection...; 2013; Petras, A. P., Duan, S., Dan, O.
- How Far Have We Come? The Lingering Digital Divide and Its Impact on the Representativeness of Internet...; 2013; Dennis, J. M., Cobb, C. L.
- How Do Different Sampling Techniques Perform in a Web-Only Survey? Results From a Comparison of a Random...; 2013; Bilgen, I., Stern, M. J., Wolter, K.
- Are Response Rates to a Web-Only Survey Spatially Clustered?; 2013; Fiorio, L., Stern, M. J., English, N., Bilgen, I., Curtis, B.
- The Effectiveness of Mailed Invitations for Web Surveys; 2013; Bandilla, W., Couper, M. P., Kaczmirek, L.
- Using Qualitative and Quantitative Testing to Improve Hispanic Response Rates for Online Surveys; 2013; Pens, Y., Gentry, R. J.
- Use of Smart Phones/Text Messaging to Increase Response Rates; 2013; DuBray, P.
- Potential Impact of Modifying the Fielding Time of a Web-Based Survey; 2013; Baum, H. M., Chandonnet, A.
- How Representative are Google Consumer Surveys?: Results From an Analysis of a Google Consumer Survey...; 2013; Krishnamurty, P., Tanenbaum, E., Stern, M. J.
- Impacts of Unit Nonresponse in a Recontact Study of Youth; 2013; Mendelson, J., Viera Jr., L.
- Changing to a Mixed-Mode Design: The Role of Mode in Respondents’ Decisions About Participation...; 2013; Collins, D., Mitchell, M., Toomes, M.
- Comparing the Effects of Mode Design on Response Rate, Representativeness, and Cost Per Complete in...; 2013; Tully, R.
- Internet Response for the Decennial Census – 2012 National Census Test; 2013; Reiser, C.
- The Effects of Errors in Paradata on Weighting Class Adjustments: A Simulation Study; 2013; West, B. T.
- Using Paradata to Study Response to Within-Survey Requests; 2013; Sakshaug, J. W.
- Paradata for Coverage Research ; 2013; Eckman, S.
- Improving Surveys with Paradata: Analytic Uses of Process Information; 2013; Kreuter, F.
- Ten questions to ask your online survey provider; 2013; Williams, D.
- Practical tools for designing and weighting survey samples; 2013; Valliant, R. L., Daver, J. A., Kreuter, F.
- Report Of The AAPOR Task Force On Non-probability sampling; 2013; Baker, R. P., Brick, J. M., Bates, N., Battaglia, M. P., Couper, M. P., Dever, J. A., Gile, K. J., Tourangeau...
- A nationwide web-based freight data collection; 2013; Samimi, A., Mohammadian, A., Kawamura, K.
- Measuring Wages Worldwide: Exploring the Potentials and Constraints of Volunteer Web Surveys; 2013; Steinmetz, S., Raess, D., Tijdens, K., de Pedraza, P.
- Sampling, Channels, and Contact Strategies in Internet Survey; 2013; Macrì, E., Tessitore, C.
- Advancing Research Methods with New Technologies; 2013; Sappleton, N.
- An approach to selecting online respondents; 2013; Terhanian, G.
- Designing and conducting business surveys; 2013; Snijkers, G.,Araldsen, G., , Willimack, D. K.Jones, J.
- Modular Survey Design: A Bite Size Proposal; 2013; Kelly, F., Stevens, S., Johnson, A.
- Does Sample Size Still Matter?; 2013; Bakken, D. G., Bond, M.
- Solving the Unintentional Mobile Challenge; 2013; Peterson, G., Mechling, J., LaFrance, J., Ham, G.
- Internet-Based Recruitment to a Depression Prevention Intervention: Lessons From the Mood Memos Study...; 2013; Morgan, A. J., Jorm, A. F., Mackinnon, A. J.
- Examination of the equivalence of self-report survey-based paper-and-pencil and internet data collection...; 2013; Weigold, A., Weigold, I. K., Russell, E. J.
- Technical and methodological meta-information on current practices in online research: A full population...; 2013; Burger, C., Stieger, S.
- Mobile Research Performance: How Mobile Respondents Differ from PC Users Concerning Interview Quality...; 2013; Schmidt, S., Wenzel, O.
- Sampling online communities: using triplets as basis for a (semi-) automated hyperlink web crawler.; 2013; Veny, Y.
- Why are you leaving me?? - Personality predictors of answering drop out in an online-study; 2013; Thielsch, M., Nestler, S., Back, M.
- Research Design as an Influencing Factor for Reliability in Online Market Research; 2013; Wengrzik, J., Theuner, G.
- Seducing the respondent – how to optimise invitations in on-site online research?; 2013; Pˇltorak, M., Kowalski, J.
- Influence of mobile devices in online surveys; 2013; Maxl, E., Baumgartner, T.
- GESIS Online Panel Pilot: Results from a Probability-Based Online Access Panel; 2013; Kaczmirek, L., Bandilla, W., Schaurer, I., Struminskaya, B., Weyandt, K.