Web Survey Bibliography
Relevance & Research Question:
For the specific type of hidden or rare populations several sampling methods like time, space or targeted sampling exist. A relatively new method is Respondent Driven Sampling (RDS). In RDS participants recruit their peers. The advantages of RDS are, that the sample composition reaches an equilibrium within a limited number of recruitment waves, which means that all social ties within the target population have an equal probability of being recruited. Additionally, RDS provides information for analyzing the social structure of the population. It also helps to reduce effects of volunteerism and the masking effect.
In order for RDS to work, the target population needs to form a single connected network with a fairly high frequency of interaction. There has to be at least five links on average from one node to another to ensure long referral chains.
My research question is whether RDS is an appropriate method to sample social networks in an online research environment among former colleagues of German companies that relocated or off-shored their workforce. The key questions are, how connected the individuals are both within and across companies, how and how often the communicate and which effects influence the recruitment process.
Methods & Data:
I am doing a pilot study among former colleagues of a small and two medium-sized companies in Germany, to test the applicability of RDS as an online research method on rare populations. Sample questions of the questionnaire include the access and use of e-mail and social internet communities and the individual network size.
Work is still in progress and first results of the pilot study will be available by the begin of the year 2010.
The poster will introduce the RDS methodology to the online research community as an effective and efficient form to sample rare populations. The pilot study tests the feasibility of RDS for a special target population and gives advices for the implementation of an online RDS-study. The results of these pilot study will be the basis for an online research project about hidden costs of company relocations.
Conference Homepage (abstract)
Web Survey Bibliography - Marketing/business (736)
- Where does the Fair Trade price premium go? Confronting consumers' request with reality; 2013; Langen, N., Adenaeuer, L.
- Customer satisfaction in Web 2.0 and information technology development; 2013; Sharma, G., Baoku, L.
- Research staff and public engagement: a UK study; 2013; Davies, S.
- Response Burden in Official Business Surveys: Measurement and Reduction Practices of National Statistical...; 2013; Giesen, D., Bavdaz, M., Loefgren, T., Raymond-Blaess, V.
- How Mobile Stacks Up to Traditional Online: A Comparison of Studies; 2013; Knowles, R.
- Book Review: Brand Together: How Co-creation Generates Innovation and Re-energizes Brands, by Nicholas...; 2013; Wilson, A.
- Digging deeper: using implicit tests to define consumers' semantic network; 2013; Riviere, P., Cuny, C., Allain, G., Vereijken, C.
- Conceptualising and evaluating experiences with brands on Facebook; 2013; Smith, S.
- Methodological Issues in the Design of Online Surveys for Measuring Unethical Work Behavior: Recommendations...; 2013; Wouters, K., Maesschalck, J., Peeters, C. F. W., Roosen, M.
- The Challenges and Benefits of Distance Mentoring; 2013; Lach, H. W. et al
- How incentives affect web-based survey response rates of athletic program donors; 2013; Alvarado, G., Callison, C.
- Permission email messages significantly increase gambler retention; 2013; Jolley, W., Lee, A., Mizerski, R., Sadeque, S.
- How virtual corporate social responsibility dialogs generate value: A framework and propositions; 2013; Korschun, D., Du, S.
- Customer loyalty to a commercial website: Descriptive meta-analysis of the empirical literature and...; 2013; Toufaily, E., Ricard, L., Perrien, J.
- Discovering interest groups for marketing in virtual communities: An integrated approach; 2013; Wang, K. -Y., Wu, H. -J., Ting, I -H.
- The Gamification of Marketing Researc; 2013; Donato, P., Link, M. W.
- Measuring Up: Impact of mobile and segmentation on respondent behaviour; 2013; Luck, K.
- Service with an e-smile: Employee authenticity and customer use of web-based support services; 2013; Turel, O., Connelly, C. E., Fisk, G. M.
- Responsive design for mixed-mode panel data; 2013; Bianchi, A., Biffignandi, S.
- Comparative analysis of data from web and face-to-face surveys. A case study on e-commerce in young...; 2013; Cappello, C., Pellegrino, D.
- Insights into Action Profiling shopping occasions for retailers through mobile and online research; 2013; Churkina, O., Morris, T.
- Mobilizing your Branded Panel: Panel data quality during the smartphone transition; 2013; Kugel, C., Brien, D., Blechman, J.
- The Attention Span of a Goldfish: Impacts of Survey Mobilization on Respondents ; 2013; Luck, K.
- Möglichkeiten zur impliziten Messung von Emotionen am Beispiel webcambasierter Gesichtsausdruckserkennung...; 2013; Wachenfeld, A., Moentmann, A., Bernet, F.
- Matching Data Collection Method to Purpose: In the Moment Data Collection with Mobile Devices for Occasioned...; 2013; Shea, C., Roberts, M., Johnson, E. P., Hadlock, W.
- The 2012 Confirmit Annual Market Research Software Survey; 2013; Macer, T., Wilson, S.
- Using Mixed-Mode Contacts in Client Surveys: Getting More Bang for Your Buck; 2013; Israel, G. D.
- ESSnet Data: Collection for Social Surveys using Multiple Modes; 2013; Sattelberger, S., Blanke, K.
- The Influence of Answer Box Format, Personal Topic Interest, and Respondent Characteristics on Response...; 2013; Keusch, F.
- Effects of Displaying Videos on Measurement in a Web Survey; 2013; Mendelson, J., Gibson, J. L., Romano Bergstrom, J. C.
- Can Google Consumer Surveys Help Pre-Test Alternative Versions of a Survey Question?: A Comparison of...; 2013; Stern, M. J., Welch, W. W.
- Tablets and Smartphones and Netbooks, Oh My! Effects of Device Type on Respondent Behavior; 2013; Ross, H., Mendelson, J., Lackey, M.
- Lotteries and study results in market research online panels; 2013; Goeritz, A., Luthe, S. C.
- Survey quality prediction system 2.0; 2013
- 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.
- Managing mobile research: How it's different and why it matters; 2013; Kachhi-Jiwani, D., Tucker, J., Wilding-Brown, L.
- An approach to selecting online respondents; 2013; Terhanian, G.
- By the Numbers: Theory of adaptation or survival of the fittest?; 2013; Cavallaro, K.
- Measuring wages via a volunteer web survey – a cross-national analysis of item nonresponse; 2013; Steinmetz, S., Annmaria, B.
- Measuring working conditions in a volunteer web survey; 2013; de Pedraza, P., Villacampa, A.
- Prison break: Releasing offline experiments from methodological constraints by transforming them into...; 2013; Förstel, H., Manthei, K., Mohnen, A., Berger, G.
- Research Design as an Influencing Factor for Reliability in Online Market Research; 2013; Wengrzik, J., Theuner, G.
- 'Ready to complete the survey on Facebook': Web 2.0 as a research tool in business studies; 2013; Gregori, A., Baltar, F.
- Questionnaire Design: How to Plan, Structure and Write Survey Material for Effective Market Research...; 2013; Brace, I.
- Interactive and Gaming Techniques to Improve Surveys; 2012; Dean, E., Sage, A., Lai, J. W., Link, M. W., Richards, A., Vanno, L., Henning, J.
- Comparing Face-to-Face and Online Approach: Household Recruitment of Consumer Panel in China; 2012; Jin, T., Lin, Y.-C., Duan, S., Lai, J. W.
- Worldwide online research spending; 2012
- What we can learn from unintentional mobile respondents; 2012; Peterson, G.
- Unintentional mobile respondents; 2012; Peterson, G.