Web Survey Bibliography
Many surveys today are affected by high nonresponse. This can be a serious problem to survey quality since nonresponse causes systematic error (bias) in the survey estimates. Given the decreasing trend in response rates and the corresponding increasing resources needed to achieve preset response rates, taking measures only at the estimation stage is no more sufficient to overcome this problem, nor efficient. Measures need to be taken also at the data collection stage. In this direction, different forms of responsive design have recently been proposed. The general objectives of responsive design have been formulated in Groves and Heeringa (2006). The main idea underlying this method is to intervene in the data collection process, in order to achieve an ultimate set of responding units that is “better balanced” or “more representative” than if no special effort is made. Interventions are settled by evaluating the sample properly as the data collection unfolds. To this purpose different indicators have been proposed, such as the balance and representativity indicators of the set of respondents and the distance between respondents and nonrespondents (Särndal, 2011, Schouten et al., 2009, Schouten et al., 2011, and Lundquist and
Särndal, 2012). These indicators are computable from selected auxiliary variables, which are known for the responding units as well as for the non-responding ones. By monitoring the indicators during the data collection process, it is possible to modify the original design during the course of the data collection, in order to obtain a better balanced ultimate response set. The recent existing literature presents many progresses in the development of this methodology. However, further investigations are needed in order to apply it in practice, also to different contexts. The aim of this paper is to evaluate the potentials of responsive design in the framework of mixed mode panels, where one mode is Web. The empirical application uses data from the on-going probability-based PAADEL panel. The PAADEL-Producer panel is an Italian regional panel of businesses in the agro-food sector managed at the CASI centre of Bergamo University. The recruitment of the panel was conducted in 2012 and lasted approximately three months. The first step recruitment was based on phone mode (maximum number of contact attempts five); the second step recruitment was based on the mixed mode approach (Web, phone, mail, fax). Using the
database of data collection of this research, first the progression of the estimates of a few variables is studied as the data collection unfolds. Next the balance and representativity of the panel are investigated at different steps of the recruitment. Finally, a set of experimental responsive designs based on alternative interventions in the data collection is artificially reproduced. Results are analyzed in a comparative way to evaluate the impact of this approach on the final estimates. Special attention is devoted to the bias reduction issue. Some thoughts on the consequences on the variability of the estimates are also proposed. The results obtained are promising. By way of example, Table 1 shows some of the results that will be described in the study.
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Web survey bibliography - Italy (57)
- Web Health Monitoring Survey: A New Approach to Enhance the Effectiveness of Telemedicine Systems; 2017; Romano, M. F.; Sardella, M. V.; Alboni, F.
- Web Health Monitoring Survey: A New Approach to Enhance the Effectiveness of Telemedicine Systems ; 2016; Romano, M. F.; Sardella, M. V.; Alboni, F.
- Recommended Practices for the design of business surveys questionnaires; 2016; Macchia, S.
- Cheating in web surveys. Evidence from a split-ballot repeated experiment on knowledge questions on...; 2015; Ladini, R.; Vezzoni, C.
- 640 Current trends in management of high-risk prostate cancer in Europe: Results of a web-based survey...; 2014; Briganti, A., Isbarn, H., Ost, P., Ploussard, G., Sooriakumaran, P., Van Den Bergh, R.C.N., Van Oort...
- The invisible Interviewer: Old and New Methodological Issues in Online Research; 2014; Niero, M.
- The need of and the demand for completing surveys on mobile devices; 2014; Toninelli, D., Revilla, M., Ochoa, C.
- Survey participation via mobile devices in a probability-based online-panel: Prevalence, determinants...; 2014; Poggio, T., Bosnjak, M., Weyandt, K.
- Web-respondent-driven sampling; 2014; Bianchi, A., Biffignandi, S., Artaz, R.
- Prioritisation of alternatives with analytical hierarchy process plus response latency and web survey...; 2014; Barone, S. Errore, A., Lombardo, A.
- Modelling ”don’t know” responses in rating scales; 2014; Manisera, M., Zuccolotto, P.
- How much is shorter CAWI questionnaire VS CATI questionnaire?; 2014; Bartoli, B.
- Online mobile surveys in Italy: coverage and other methodological challenges; 2014; Poggio, T.
- Migraine and pregnancy: an internet survey; 2013; Allais, G. et al.
- The internet user profile of Italian families of patients with rare diseases: a web survey; 2013; Tozzi, A. E., Mingarelli, R., Agricola, E., Gonfiantini, M., Pandolfi, E., Carloni, E., Gesualdo, F.,...
- Web Surveys and Official Statistics: Perspectives and Cases ; 2013; Martelli, B.
- 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.
- The Design of the Online Questionnaire of the Italian Population Census ; 2013; Tininini, L., Virgillito, A.
- 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.
- Online Survey on Twitter: A Urological Experience; 2013; Dal Moro, F.
- Web Panel Representativeness; 2013; Bianchi, A., Biffignandi, S.
- Measuring the impact of the Web: Rasch modelling for survey evaluation; 2013; Annoni, P., Weziak-Bialowolska, D., Farhan, H.
- Responsive design for mixed-mode panel data; 2013; Bianchi, A., Biffignandi, S.
- Adjusting for bias in a mixed-mode CAWI survey on University students ; 2013; Clerici, R., Giraldo, A.
- Comparative analysis of data from web and face-to-face surveys. A case study on e-commerce in young...; 2013; Cappello, C., Pellegrino, D.
- The Relation of Survey Topic and Participation Behavior. Analyzing Unit Nonresponse using web-generated...; 2013; Zillmann, D., Schmitz, A., Blossfeld, H. P.
- A walking exercise on a tightrope: trying to balance coverage, probabilistic sampling and the costs...; 2013; Poggio, T.
- Norme di qualita' Assirm (Assirm quality rules]; 2012
- Social research in online context: methodological reflections on web surveys from a case study; 2012; Pandolfini, V.
- Survey Data Collection and Integration; 2012; Davino, C., Fabbris, L.
- Online Data Collection in the Agro-Food Sector; 2012; Biffignandi, S., Artaz, R.
- 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.
- Panel retention rate and data quality: experimental results drawing on Reciprocity design; 2012; Biffignandi, S., Artaz, R.
- Web Surveys: Methodological Problems and Research Perspectives; 2012; Biffignandi, S., Bethlehem, J.
- A Generalized System for Aided Development and Monitoring of Web Surveys; 2011; Torelli, R.
- Using survey data collection as a tool for improving the survey process; 2011; Biffignandi, S., Perani, G., Laureti, A.
- Facebook sampling methods: some methodological proposals; 2011; Macrì, E., Tessitore, C.
- Errors within web-based surveys: a comparison between two different tools for the analysis of tourist...; 2011; Polizzi, G., Oliveri, A. M.
- Use of new technologies in social research: Self-administered mobile surveys; 2011; Bosnjak, M.
- Modeling non-sampling errors and participation in Web surveys; 2010; Biffignandi, S.
- Web-based macroseismic survey in Italy: method validation and results; 2010; Sbarra P., Tosi, P., De Rubeis, V.
- Web-based versus paper-based data collection for the evaluation of teaching activity: empirical evidence...; 2010; Lalla, M., Ferrari, D.
- Web based macroseismic survey: fast information exchange and elaboration of seismic intensity effects...; 2009; De Rubeis, V., Sbarra P., Sorrentino, D., Tosi, P.
- Factors Contributing to Participation in Web‐based Surveys among Italian University Graduates; 2009; Cimini, C., Girottu, C., Gasperoni, G.
- Integration of different data collection techniques using the propensity score; 2009; Camillo, F., Conti, V., Ghiselli, S.
- Modelling online survey participation among Italian university graduates ; 2009; Cimini, C., Girotti, C., Gasperoni, G.
- Coverage rates of mobile telephones and the Internet in Italy ; 2009; Fabbris, L., Gorelli, S.
- An experiment on the effects of non-response reweighting on estimators' precision in a web survey; 2009; Fabrizi, E., Biffignandi, S., Toninelli, D.