Web Survey Bibliography
The technological opportunities offered by web-based surveys allow to track precisely the behaviour of each respondent while filling in a web questionnaire. The log files created by a web-survey server system can provide factual information about the on-line response process: how the respondent navigates from one screen to another, how many times the printable version of the questionnaire is downloaded, how many questions are answered, how long the response process takes, etc.. In this framework, detailed log data related to the Italian business Research &
Development survey are analysed in order to identify possible critical aspects in the questionnaire design and improve the accuracy of responses. Some indicators describing the behaviour of the respondent companies are proposed. Results from log data are reported by path and discussed. Besides, they are merged with statistical information coming from other sources, including the Italian register of active enterprises.
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Web survey bibliography - NTTS 2013 - New Techniques and Technologies for Statistics (8)
- The challenge of a mixed-mode design survey and new IT tools application: the case of the Italian Structure...; 2013; Cardinaleschi, S., De Santis, S., Rocci, F., Spinelli, V.
- MOTUS: Modular online Time-Use Survey; 2013; Joeri, M., Ignace, G., van Tienoven, T. P., Djiwo, W.
- The Design of the Online Questionnaire of the Italian Population Census ; 2013; Tininini, L., Virgillito, A.
- Experiments in Obtaining Data Linkage Consent in Web Surveys ; 2013; Sakshaug, J. W., Kreuter, F.
- The behaviour of respondents while filling in a web questionnaire: the case of the Italian business...; 2013; Masselli, M., Nuccitelli, A.
- A web-based Census of services: an ISTAT evolutionary study ; 2013; Cesaro, A., Palazzi, B., Paterniti, M., Ranaldi, P.
- A web based management system for addressing census complexity: the Italian experience; 2013; Bruno, M., Giacummo, M., Silipo, M., Vaste, G.
- Response Burden in Official Business Surveys: Measurement and Reduction Practices of National Statistical...; 2013; Giesen, D., Bavdaz, M., Loefgren, T., Raymond-Blaess, V.