Web Survey Bibliography
The present analysis has been made possible by the survey on graduates' condition that is carried out every year by the Inter
‐universities Consortium ALMALAUREA1. The survey makes it possible to analyse the most recent labour market trends through an examination of the career opportunities available for the Italian graduates of the universities taking part in the Consortium during the 5 years on from graduation. All graduates are contacted 1, 3 and 5 years on from graduation. More specifically, the data have been collected during the last survey conducted by ALMALAUREA in 2008 (over 287,000 graduates examined). This survey also involved all first and second level (=cycle of the Bologna Process) graduates from the class of 2007 (about 140,000). The huge number of graduates involved has determined the necessity to use survey methods that allow the reduction of costs and duration. This objective has been achieved through the introduction of two survey methods: CAWI and CATI. More precisely, the graduates having a mailbox (85% of the cohort) have been emailed and asked to answer to a questionnaire on the web site of ALMALAUREA. The survey procedure also included two e‐mail reminders. Afterwards, all graduates who had not answered to the online questionnaire have been contacted by phone. ‐to‐entry into the labour market and so on. These pieces of information are integrated by the huge quantity of data on the sociodemographic characteristics of graduates (e.g. social origins, gender, age), pre‐university studies, academic studies (e.g. degree course, graduation mark) and further experiences made during studies (foreign languages and IT skills, internships, study experiences made abroad and work experiences). It is possible that the survey methods used may have influenced the answer given by graduates. In other words, since the information have been collected through different survey tools (CAWI and CATI), they may have caused distortions that are not casual. For example, the presence/absence of interviewers is an important determinant for the quality of the information collected. On the other hand, because of the cultural level of the cohort involved in the interview, the contribution given by the interviewer may be limited; in some cases it may even be counterproductive, since they may influence the answer of the graduates. In consideration of the complexity of the subject that is dealt with, it has become important to determine if there are significant differences between the answers given by those who filled in the online questionnaire and those who gave their answers during the telephone interview. This need has also been confirmed by the fact that these two groups of graduates have also turned out during some preliminary analysis to be different in terms of their studies and area of residence. The method for evaluating an error deriving from a differentiated treatment (CATI or CAWI) will be developed by following a particular approach that is referred to the typical notions of the so‐called “causal inference”. This problem may be faced by referring to the approach proposed by Rosembaum and Rubin (1983), that is known as propensity score. The authors demonstrate that, having in hand several information which characterise the individuals and which are related to the time that preceded the treatment, it is possible to create groups of individuals having similar characteristics. These groups are, therefore, theoretically deconditioned by the kind of undergone treatment. Within this groups of individuals it is possible to compare the target variable (e.g. the occupational status) among those who have undergone the treatment and those who have not or just have undergone a different treatment. ALMALAUREA has also implemented a monitoring system of selection bias due to different data collection techniques. In this system an innovative approach was used (Camillo and D’Attoma, 2008). It involves a data transformation that allows measuring and testing in an automatic and multivariate way the presence of selection bias. The aim of ALMALAUREA is to measure and eventually to evaluate the effect of the undergone treatment on the answers given by graduates.
The survey enabled us to collect the main information related to academic and work experiences made after graduation: employment condition at the time of the interview, characteristics of the job (contract, branch of activity, earning), time
Conference homepage (abstract)
Web Survey Bibliography - Other CASIC (544)
- Long-Term Efficacy of Sequential Mixed-Mode Designs on Response Rates and Cost in a Panel Survey; 2010; Levenstein, R. M., Barber, J. S., Gatny, H. H.
- Completing Web Surveys on Smart Phones; 2010; Dayton, J. J., Freedner, N., Hannah, K.
- Statistical foundations of cell-phone surveys; 2010; Wolter, K., Smith, P., Blumberg, S. J.
- Self-administered mobile surveys: Usability and (non)participation; 2010; Scherrer, S., Bosnjak, M.
- The impact of incentives and interview methods on response quantity and quality in diary- and booklet...; 2010; Bonke, J., Fallesen, P.
- Computer Literacy and the Accuracy of Substance Use Reporting in an ACASI Survey; 2010; Johnson, T. P., Fendrich, M., Mackesy-Amiti, M. E.
- A report on the 2009 Globalpark Market Research Software Survey; 2010; Macer, T., Wilson, S.
- Web-based versus paper-based data collection for the evaluation of teaching activity: empirical evidence...; 2010; Lalla, M., Ferrari, D.
- Understanding the Willingness to Participate in Mobile Surveys: Exploring the Role of Utilitarian, Affective...; 2010; Bosnjak, M., Metzger, G., Graef, L.
- Mode and Context Effects in Measuring Household Assets; 2010; van Soest, A., Kapteyn, A.
- Improving the response rate and quality in Web-based surveys through the personalization and frequency...; 2010; Muñoz-Leiva, F., Sánchez-Fernández, J., Montoro-Ríos, F. J., Ibáñez-Zapata, J. A.
- College Experiences Survey: Methodological Summary. Final Report; 2009; DesRoches, D., Hall, J. W., Santos, B.
- Cell Phone Mainly Households: Coverage and Reach for Telephone Surveys Using RDD Landline Samples; 2009; Boyle, J., Lewis, F., Tefft, B.
- Cell-Phone-Only Voters in the 2008 Exit Poll and Implications for Future Noncoverage Bias ; 2009; Mokrzycki, M., Keeter, S., Kennedy, C.
- Zero Banks: Coverage Error and Bias in Rdd Samples Based on Hundred Banks with Listed Numbers ; 2009; Boyle, J., Bucuvalas, M., Piekarski, L., Weiss, A.
- National Surveys Via RDD Telephone Interviewing vs. the Internet: Comparing Sample Representativeness...; 2009; Chang, L. C., Krosnick, J. A.
- Best practices in mobile research; 2009; Zahariev, M., Ferneyhough, C., Ryan, C.
- Mobile interviewing; 2009; Lavine, S.
- A comparison of web-based and telephone surveys for assessing traffic safety concerns, beliefs, and...; 2009; Beck, K. H., Yan, A. F., Qi Wang, M.
- The Coverage Bias of Mobile Web Surveys Across European Countries ; 2009; Fuchs, M., Busse, B.
- Item non-response rates: a comparison of online and paper questionnaires ; 2009; Denscombe, M.
- Using mobile phones for survey research A comparison with fixed phones ; 2009; Vicente, P., Reis, E., Santos, R.
- A Comparison of Different Survey Periods in Online Surveys of Persons with Eating Disorders and Their...; 2009; Wesemann, D., Grunwald, A., Grunwald, M.
- A Comparison of Web-Based and Paper-Based Survey Methods Testing Assumptions of Survey Mode and Response...; 2009; Greenlaw, C., Brown-Welty, S.
- Doing Research in the Real World; 2009; Gray, D. E.
- Conducting Mobile Surveys: A Hands-on Introduction to an Innovative Research Mode; 2009; Pferdekämper, T., Melcher, T.
- An experimental mixed mode design on a general population survey ; 2009; Eva, G.
- Does Response Rate Matter? Journal Editors Use of Survey Quality Measures in Manuscript Publication...; 2009; Carley-Baxter, L. R., Hill, C., Roe, D. J., Twiddy, S. E., Baxter, R. K., Ruppenkamp, J.
- Declining Working Phone Rates Impact Sample Efficiency; 2009; Piekarski, L.
- Using Non-Probability Samples for Confusion Surveys - Mall Intercepts and the Internet; 2009; Ericksen, E. P.
- Using Debit Cards for Incentive Payments: Experiences of a Weekly Survey Study; 2009; Gatny, H. H., Couper, M. P., Axinn, W., Barber, J. S.
- Characteristics of Cell Phone Only, Listed, and Unlisted Telephone Households; 2009; Tarnai, J., , Schultz, R.Moore, D.
- Cell Phone-Only Households: A Good Target for Internet Surveys?; 2009; Bates, N.
- Nonsampling Error Research in Practice; 2009; Brick, J. M., Kalton, G.
- Envisioning the Survey Interview of the Future ; 2009; Conrad, F. G., Schober, M. F.
- Are telephone Surveys a dying bread. How declining response rates can be explained and resolved; 2009; Degen, M., Obermüller, A., Schielicke, A.-M.
- 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.
- Mode effects in Switzerland: non‐response and measurement error on the European Social Survey; 2009; Roberts, C.
- The mixing of survey modes: application to Laon web and face‐to‐face household travel survey...; 2009; Bayart, C., Bonnel, P.
- An innovative open source strategy for the development of electronic questionnaires for statistical...; 2009; Degortes, M., Landriscina, M., Murgia, M.
- Response rates in multi actor surveys; 2009; Pasteels, I., Ponnet, K., Mortelmans, D.
- Unit non‐response in panel surveys: empirical finding from an experiment; 2009; Haunberger, S.
- Do cash incentives helps with RDD studies? Examination of results from a national and a statewide survey...; 2009; Miller, Y., Barger, K., Hearn, D.
- The Potential of a Multi-mode Data Collection Design to Reduce non-response bias. The Case of a Survey...; 2009; Sala, E., Lynn, P.
- Are people sharing their mobile phones? Selection probabilities in cellular telephone surveys; 2009; Fuchs, M., Busse, B.
- New developments in survey methodology for official statistics; 2009; Bethlehem, J.
- Survey cooperation: response to initial and follow-up requests - Recent experiences from the recruitment...; 2009; Bartsch, S., Engel, U., Schnabel, C., Vehre, H.
- Using Mobile Phones to Administer a Working Memory Updating Task in a Survey - Cognitive Performance...; 2009; Schmiedek, F., Riediger, M., Lindenberger, U., Wagner, G. G.
- Accessibility of individuals for mobile phone surveys; 2009; Gabler, S., Häder, S.