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Factors Contributing to Participation in Web-based Surveys among Italian University Graduates

Author

Listed:
  • Chiara Cimini

    () (AlmaLaurea Inter-university Consortium)

  • Gasperoni

    () (University of Bologna, Dept. of Communication Disciplines)

  • Claudia Girotti

    () (AlmaLaurea Inter-university Consortium)

Abstract

An established yearly survey aimed at monitoring the employment opportunities of Italian graduates, traditionally carried out with Cati methods, has been integrated during the last few years with Cawi. Cawi has become increasingly crucial due to the high number of graduates involved in the survey, which has mandated a reduction in fieldwork duration and unit costs. Although the seven Cawi surveys used here have different substantive and methodological characteristics, preliminary analysis reveals a common trend: the utmost participation is observed during the first few days immediately following initiation of fieldwork and, to a lesser degree, the delivery of follow-up reminders. Web respondents comprise a self-selected subgroup of the target population, having better academic performance and greater computer skills. A Cox regression model estimating response probability (or response time) shows, besides the obvious effects of certain personal and survey design characteristics, that faster response times are expressed by graduates in science or engineering and reporting good computer skills, whereas the fields of medicine/health and defence/security and no computer skills give rise to lower response probability. Ways to use these findings for fine-tuning data collection are discussed.

Suggested Citation

  • Chiara Cimini & Gasperoni & Claudia Girotti, 2011. "Factors Contributing to Participation in Web-based Surveys among Italian University Graduates," Working Papers 35, AlmaLaurea Inter-University Consortium.
  • Handle: RePEc:laa:wpaper:35
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    File URL: http://www2.almalaurea.it/universita/pubblicazioni/wp/pdf/wp35.pdf
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    Keywords

    Cawi surveys; Response rate; University graduates; Cox regression;

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