Web Survey Bibliography
When conducting a business survey, initially the communication goes one way: the survey is introduced commonly by use of an advance letter. This letter informs the selected businesses about the survey, where to find the questionnaire (in case of an online questionnaire or a paper questionnaire is included in the envelope), when the data are due, and where to get additional information (e.g. by contacting the helpdesk and/or on a special website with FAQs). Directors-owners or managers may discuss these surveys at business meetings. Nowadays, however, face-to-face contacts are no longer necessary: the internet offers a new way of communication among business respondents: social media, like Twitter and chat boxes. These social media offer possibilities for everyone to utter their views and opinions on everything that keeps one busy. So, also the sentiments by businesses with regard to their participation in business surveys.
An exploratory search on the internet shows that these media are used in this way. Two examples:
• “Today I got a letter by CBS. They want me to complete an on-line questionnaire. The letter says that it is required by law. Is it really? I don’t want to waste my time on this.”
• “Why not participate? Thanks to the information we provide, CBS can publish a lot of relevant market information which is available for free.”
Statistics Netherlands has the opportunity to analyse these data using a huge data base (as managed by the Dutch Tax Office). These data will be analysed from the perspective of these sentiments. We have a number of research questions:
• What is the size of these communications on social media?
• What are the sentiments? What kind of views and opinions are uttered: are the negative or positive in nature?
• Do the number and contents of sentiments vary with the mail-out and reminding dates of surveys?
• What kinds of arguments are used in these utterances that make them participate?
• How do these utterances relate to theories on persuasion, motivation and resistance?
The general goal of these analyses is to get better insights in the arguments used by businesses in their role as participant in a survey. These insights help to better address resistance, motivate and facilitate them by means of the survey communication strategy and data collection instruments. Eventually, these analyses may result in a web care facility, which goal is twofold:
• Addressing questions and problems at once;
• Monitoring what is going on in real time, i.e. keeping a finger on the pulse.
The first goal is a task of the helpdesk, and shows that, even if a survey organisation is not addressed directly the problems of respondents are taken seriously. The second goal is aimed at implementing a responsive survey design.
In the presentation a number of results will be shown. At the time of writing this abstract, these analyses still have to be conducted.
Workshop Homepage (abstract)
Web survey bibliography - Marketing/business (336)
- Improving the quality of complex surveys: The case of the EU Labour Force Survey ; 2012; van der Valk, J.
- Multi-Language Multi-Continent B2B Community Panel: How B2B research can effectively span the world; 2012; Morden, M., Accomando, E.
- Can Survey Gaming Techniques Cross Continents? Examining cross cultural reactions to creative questioning...; 2012; Puleston, J.
- Research Goes Mobile: Findings from initial smartphone application research; 2012; Dubreuil, C., Joubert, S.
- Probabilistic survey questions and incorrect answers: Retirement income replacement rates; 2012; van Santen, P., Alessie, R., Kalwij, A.
- Mobile Survey Participation Rates in Commercial Market Research: A Meta-Analysis; 2012; Bosnjak, M., Poggio, T., Becker, K. R., Funke, F., Wachenfeld, A., Fischer, B.
- “What a waste of time!” vs “Why not participate?” On sentiments by business...; 2012; Torres van Grinsven, V., Snijkers, G., Daas, P.
- A beginner's guide to DIY research ; 2012; Cates, T.
- The Reliability and Validity of Alternative Customer Satisfaction Measurement Scales in PC Web and Mobile...; 2012; Chrzan, K., Saunders, T.
- The Confirmit Annual Market Research Software Survey 2011; 2012; Macer, T., Wilson, S.
- How Likely?: Comparisons of Behavioral Intention Measurement Validity; 2012; Bremer, J., Thomas, R. K.
- Effects of Progress Indicators on Short Questionnaires; 2012; Sedley, A., Callegaro, M.
- Coverage error in internet surveys Can fixed phones fix it?; 2012; Vicente, P., Reis, E.
- Open-ended Questions in Web Surveys: One Large vs. Ten Small Boxes; 2012; Keusch, F.
- Effects of Pagination on Short Online Surveys; 2012; Sedley, A., Callegaro, M.
- Understanding selection bias in a worldwide, volunteer web-survey; 2012; Tijdens, K., Steinmetz, S.
- Market research online community (MROC) versus focus group; 2012; Zuber, M.
- FamilyVote – Conducting online surveys with children and families; 2012; Geissler, H., Peeters, H.
- The impact of two-stage highly interesting questions on completion rates and data quality in online...; 2012; Hansen, J. M., Smith, S. M.
- Using Webinar Polls to Collect Online Survey Data: The Case of a Behavioral Finance Problem; 2012; Sahu, C.
- Less questions, more data: Revitalizing the european currency in single source affluent audience measurement...; 2011; Hartman, H.
- Gender-specific on-line shopping preferences; 2011; Ulbrich, F., Christensen, T., Stankus, L.
- The Game Experiments: Researching how gaming techniques can be used to improve the quality of feedback...; 2011; Sleep, D., Puleston, J.
- Voice-of-the-customer marketing: A revolutionary 5-step process to create customers who care, spend,...; 2011; Roman, E.
- Unpublisihed internal Google report on break off rates by device type; 2011; Callegaro, M.
- The impact of cookie deletion on site-server and ad-server metrics in Australia. An empirical comScore...; 2011
- State of mobile measurement; 2011; Gluck, M.
- SDSC Announces scalable, high-performance data storage cloud; 2011
- Online survey research: Findings, best practices, and future research. Report prepared for the Advertising...; 2011; Vannette, D.
- Online survey research: Findings, Best practices, and future research; 2011
- New Esomar survey on use of cookies and tracking technologies; 2011
- Latent class analysis of survey error; 2011; Biemer, P. P.
- Just published: Forrester Wave™ of enterprise feedback management satisfaction and loyalty solutions...; 2011; McInnes, A.
- Involve while you evolve. How to make mobile research work for everyone; 2011; Luck, K.
- Harvard research data security policy; 2011
- GRE® program announces big benefits and big savings for GRE® test takers worldwide; 2011
- Going online with assessment; 2011; Burke, E., Mahoney-Phillips, J., Bowler, W., Downey, K.
- Global market research 2011; 2011
- A Survey Stopping Rule Based on Weighting for Unit Nonresponse; 2011; Lewis, T.
- How far is too far: Traditional, flash and gamification interfaces, and implications for the future...; 2011; Puleston, J., Malinoff, B.
- Effects of internet data collection in business surveys – the case of the Dutch SBS; 2011; Giesen, D.
- Apples and oranges: does a web survey produce similar results to social media tracking?; 2011; Bourque, C., Hobbs, R., Hilaire, D. S.
- Mixed methods designs in marketing research; 2011; Harrison, R. L., Reilly, T. M.
- Reflections on web based data collection in a mixed mode design: the case of the EU Labour Force Survey...; 2011; Kloek, W., van der Valk, J.
- Mobile Research Apps – Adding New Capabilities to Market Research; 2011; Rieber, D.
- Capturing affective experiences using the SMS Experience Sampling (SMS-ES) method.; 2011; Andrews, L., Russell-Bennett, R., Drennan, J.
- Quantifying Open-Ended Responses: Results from an Online Advertising Tracking Survey; 2011; Jacobe, A., Brewer, L., Vakalia, F., Turner, S., Marsh, S. M.
- Dissemination of survey (meta)data in the LISS data archive; 2011; Streefkerk, M., Elshout, S.
- Underreporting in Interleafed Questionnaires: Evidence from Two Web Surveys; 2011; Medway, R., Viera Jr., L., Turner, S., Marsh, S. M.
- A mixed mode pilot on consumer barometer; 2011; Taskinen, P., Simpanen, M.