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 (4086)
- Detecting Satisficing In Online Surveys: What we found ; 2012; Salifu, S.
- 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.
- Impact and the Research Excellence Framework: New challenges for universities; 2012; Grant, J.
- Impact of Fixed Choice Design on Blockmodeling Outcomes; 2012; Znidarsic, A.
- Panel Conditioning in Online Survey Panels: Problems of Increased Sophistication and Decreased Engagemeent...; 2012; Adams, A. N., Atkeson, L. R., Karp, J. A.
- Efficiency of Different Recruitment Strategies for Web Panels; 2012; Hansen, K. M., Pedersen, R. T.
- Understanding Mode Effects between Mobile Web and Mobile SMS Surveys; 2012; Poduska, B., Johnson, E. P.
- Paper-and-Pencil versus Web Administration of a Student Satisfaction Survey; 2012; Bowen, C.-C.
- Nonresponse and Online Student Evaluations of Teaching: Understanding the Influence of Salience...; 2012; Adams, M. J. D., Umbach, P. D.
- Disfluencies and Gaze Aversion in Unreliable Responses to Survey Questions; 2012; Schober, M. F., Conrad, F. G., Dijkstra, W., Ongena, Y. P.
- Use of Paradata in a Responsive Design Framework to Manage a Field Data Collection; 2012; Wagner, J., West, B. T., Kirgis, N., Lepkowski, J. M., Axinn, W., Kruger-Ndiaye, S.
- Recruiting A Probability Sample For An Online Panel: Effects Of Contact Mode, Incentives, And Information...; 2012; Scherpenzeel, A., Toepoel, V.
- Do Questions about Watching Internet Pornography Make People Watch Internet Pornography? A Comparison...; 2012; Peter, J., Valkenburg, P. M.
- “I think I know what you did last summer” Improving data quality in panel surveys; 2012; Lugtig, P. J.
- An Initial Look at Non-Response and Attrition in Understanding Society; 2012; Lynn, P., Burton, J., Kaminska, O., Knies, G., Nandi, A.
- Understanding Society Innovation Panel Wave 4: Results from Methodological Experiments; 2012; Burton, J., Budd, S., Kaminska, O., Uhrig, S. C. N., Brown, M., Calderwood, L.
- The Propensity of Older Respondents to Participate in a General Purpose Survey; 2012; Lynn, P.
- Mode-Switch Protocols: How a Seemingly Small Design Difference can affect Attrition Rates and Attrition...; 2012; Lynn, P.
- Does Giving People Their Preferred Survey Mode Actually Increase Survey Participation Rates?; 2012; Olson, K., Smyth, J. D., Wood, H.
- Adaptive web sampling in ecology; 2012; Thompson, S. K.
- Deep Data: Qualitative Approaches to E-Research in the Digital Age; 2012; Salmons, J.
- Going online with a face-to-face household panel: Initial results from an experiment on the UK Household...; 2012; Jaeckle, A., Lynn, P., Burton, J.
- Opportunities and Challenges for the Digital Researcher; 2012; Blank, G., Morey, Y.
- Measures of Data Quality Across the RDD Frames; 2012; Lavrakas, P. J.
- Reliable Online Social Network Data Collection; 2012; Abdesslem, F. B., Parris, I., Henderson, T.
- Statisticians don’t like non-probability; 2012; Murphy, J.
- Diasporas on the web: new networks, new methodologies; 2012; Crush, J., Eberhardt, C., Caesar, M., Chikanda, A., Pendleton, W., Hill, A.
- Not by the Book: Facebook as a Sampling Frame; 2012; Brickman Bhutta, C.
- Survey Quality Evaluation for Business Surveys; 2012; Biemer, P. P.
- Respondent-driven sampling; 2012; Schonlau, M., Liebau, E.
- Online Data Collection in the Agro-Food Sector; 2012; Biffignandi, S., Artaz, R.
- Collecting data electronically from enterprises – searching for the right approach; 2012; Keating, J., Portillo, S.
- Tailoring the design of e-questionnaires to the response process: About audit trails and other methods...; 2012; Morren, M., Snijkers, G.
- Predicting potential respondents' decision to participate in web surveys; 2012; Fang, J., Wen, C.
- Comparing Ranking Techniques in Web Surveys; 2012; Blasius, J.
- Design of CAWI Instruments for Social Surveys ; 2012; Blanke, K.
- Web Survey Software; 2012; Berzelak, N., Vehovar, V., Slavec, A.
- Surveying general population: What types of experiments are further needed?; 2012; Vehovar, V., Berzelak, N.
- Psychometric properties of an internet administered version of the Marlowe-Crowne Social Desirability...; 2012; Vesteinsdottir, V., Reips, U.-D., Joinson, A. N., Porsdottir, F.
- Enhancing Web Surveys With New HTML5 Input Types; 2012; Funke, F.
- 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.
- Research design for studying online communities with web surveys; 2012; Petrovcic, A., Petric, G., Lozar Manfreda, K.
- “What a waste of time!” vs “Why not participate?” On sentiments by business...; 2012; Torres van Grinsven, V., Snijkers, G., Daas, P.
- Case study: Respondent perspective on survey response; 2012; Jarrett, C.
- Effect of different stimulus on data quality in online panels; 2012; Zagar, S., Lozar Manfreda, K.
- The German Internet Panel: First Results from the Recruitment Phases; 2012; Blom, A. G.
- Panel retention rate and data quality: experimental results drawing on Reciprocity design; 2012; Biffignandi, S., Artaz, R.
- Analysis of coverage bias for the implementation of web surveys in Spain; 2012; de Pedraza, P., Serrano, F.
- Web panels in Slovenia; 2012; Lenar, J., Vehovar, V.