Web Survey Bibliography
Title Increasing participation rates and completeness of questionnaire compilation in web survey . An experimental design of research
Author Decataldo, A.; Denti, F.
Year 2016
Access date 21.10.2016
Full text PDF (636 KB)
Abstract
Declining participation rates and data quality are serious problems in survey research. This is particularly true with reference to Internet surveys, where the absence of interviewers may pose an additional threat to interviewees’ propensity to respond and to complete questionnaire. In this paper we focus on the impact of: 1) e-mails and SMS reminders on survey participation; 2) data linkage on completeness of questionnaire. Our web survey aims at students registered during the AY 2015/16 in degree courses at the University of Milan Bicocca (young and educated per-sons, who are comfortable with internet use). With reference to the first issue, in web surveys e-mails and SMS can be used as remindersto improve participation rates. Relative to the second issue, the evaluation of data completeness implies to analyse several indicators, such as the percentage of missing values and response set, the lack of personal data, etc.
Our study assesses the impact of different types of reminders on survey participation through an experimental design of research and it represents an interesting example of data linkage between university administrative data and survey data. In particular, this data linkage exemplifies an opportunity to improve the completeness of the questionnaire compilation (reducing the number of items), and to reduce the percentage of inconsistent data (i.e. the percentage of data that are different for the same subject in administrative database and in the responses to the question-naire). As a matter of fact, the procedure of data linkage has the advantage of making more sustaina-ble the compilation for an interviewee. The researcher releases the respondent from providing the information that are already available through administrative sources.
To check our hypothesis, we consider eight experimental groups:
-T1.1-SMS, that will receive SMS only as a reminder and a questionnaire with additional questions about administrative information;
-T1.2-SMS, that will receive SMS only as a reminder and a questionnaire without additional questions about administrative information (through the use of the data linkage only)
-T2.1-E-mail, that will receive an e-mail only as a reminder and a questionnaire with
additional questions about administrative information;
-T2.2-E-mail, that will receive an e-mail only as a reminder and a questionnaire without
additional questions about administrative information (through the use of the data linkage
only);
-T3.1-E-mails and SMS, that will receive both SMS and an e-mail as a reminder and a
questionnaire with additional questions about administrative information;
-T3.2-E-mail and SMS, that will receive both SMS and an e-mail as a reminder and a
questionnaire without additional questions about administrative information (through the
use of the data linkage only);
-C.1-no reminders, that is the control group and it will not receive any reminders, but a
questionnaire with additional questions about administrative information;
-C.2-no reminders, that is the control group and it will not receive any reminders, but a
questionnaire without additional questions about administrative information (through the
use of the data linkage only).
Keywords: experimental design; reminder impact; response rate
Our study assesses the impact of different types of reminders on survey participation through an experimental design of research and it represents an interesting example of data linkage between university administrative data and survey data. In particular, this data linkage exemplifies an opportunity to improve the completeness of the questionnaire compilation (reducing the number of items), and to reduce the percentage of inconsistent data (i.e. the percentage of data that are different for the same subject in administrative database and in the responses to the question-naire). As a matter of fact, the procedure of data linkage has the advantage of making more sustaina-ble the compilation for an interviewee. The researcher releases the respondent from providing the information that are already available through administrative sources.
To check our hypothesis, we consider eight experimental groups:
-T1.1-SMS, that will receive SMS only as a reminder and a questionnaire with additional questions about administrative information;
-T1.2-SMS, that will receive SMS only as a reminder and a questionnaire without additional questions about administrative information (through the use of the data linkage only)
-T2.1-E-mail, that will receive an e-mail only as a reminder and a questionnaire with
additional questions about administrative information;
-T2.2-E-mail, that will receive an e-mail only as a reminder and a questionnaire without
additional questions about administrative information (through the use of the data linkage
only);
-T3.1-E-mails and SMS, that will receive both SMS and an e-mail as a reminder and a
questionnaire with additional questions about administrative information;
-T3.2-E-mail and SMS, that will receive both SMS and an e-mail as a reminder and a
questionnaire without additional questions about administrative information (through the
use of the data linkage only);
-C.1-no reminders, that is the control group and it will not receive any reminders, but a
questionnaire with additional questions about administrative information;
-C.2-no reminders, that is the control group and it will not receive any reminders, but a
questionnaire without additional questions about administrative information (through the
use of the data linkage only).
Keywords: experimental design; reminder impact; response rate
Access/Direct link Conference Homepage (abstract) / (full text)
Year of publication2016
Bibliographic typeConferences, workshops, tutorials, presentations
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.