Web Survey Bibliography
AGS covers many topics, including student satisfaction for his/her university experience. Using the complete AGS data set, we calculate two satisfaction factors from a set of satisfaction questions. This is done using the factor analysis (via principal components) method. First factor may be interpreted as a “general satisfaction” index, the second is a contrast between software (teaching, exams, graduation organization) and hardware (classrooms, libraries, cafeterias) evaluation. Factors are not directly observable, but we treat them as they are, for simplicity’s sake. They are continous, approximately normal variables.
Is the non-response process MAR (“Missing at Random”)? To say this we regress the response indicators on all the administrative variables (including sex, age, number of years needed for graduating, graduation mark, high school final mark, faculty, type of course) and the two satisfaction factors. There is a weak evidence that the respondents and non-respondents have different distribution of factor scores.
If we have to take any inference on the non-respondents we must assume that they are related to respondents in some way. The way is often the assumption that they are related through the auxiliary information, that is through variables known for both respondent and non-respondents.
We bootstrap the population to evaluate the ability of the calibration correction to improve the estimators of non-response. We try first to use the quasi-randomization approach to estimate propensity, then use these weights as a basis for calibration. Several combination for calibration variables are used. Faculty is always included as they are main subdivisions of the University and estimates by faculty are routinely required.
The paper analyzes reweighting adjustments for non-response in surveys carrying out a bootstrap evaluation of non-response adjusted estimators. In our study we consider a population made of students from the Bergamo University graduating in a specific period of time.
This population has been surveyed twice (web mode in both cases), before and after graduation. The ante-graduation survey (from now on, AGS) is a compulsory survey, the post-graduation survey (PGS) is not compulsory, therefore there was 56% non-response rate. Administrative (archive) data available for all the students. We apply the non-response process of the PGS in the analysis of AGS data. In this way, we have a controlled situation in which all survey variables, for both respondents and non-respondents are known. We avoid artificial assumptions on the non-response process.
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.