IDEAS home Printed from
   My bibliography  Save this paper

Integration of different data collection techniques using the propensity score


  • Furio Camillo

    () (University of Bologna, AlmaLaurea Inter-University Consortium)

  • Silvia Ghiselli

    () (AlmaLaurea Inter-University Consortium)

  • Valentina Conti

    () (AlmaLaurea Inter-University Consortium)


The present analysis has been made possible by the survey on graduates' condition that is carried out every year by the Interuniversity Consortium ALMALAUREA. The huge number of post-reform graduates involved (about 140,000) in the survey conducted in 2008 has determined the necessity to make a radical revision of the survey methods, so that survey costs and time are reduced. This objective has been achieved through the introduction of two survey methods: CAWI (Computer-Assisted Web Interview) and CATI (Computer-Assisted Telephone Interview). However, 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. The aim of the present analysis is to measure and to evaluate the effect of the undergone treatment on the answers given by graduates, using the propensity score approach . In fact, many telephone and web studies have proposed the use of this approach in postsurvey impact evaluation of different interview techniques. Particularly, propensity score has been used in postsurvey weighting procedures to dicrease biases. The methodology so developed will provide a very valuable instrument for evaluating the actual reach and significance of the results presented by ALMALAUREA in its annual reports.

Suggested Citation

  • Furio Camillo & Silvia Ghiselli & Valentina Conti, 2011. "Integration of different data collection techniques using the propensity score," Working Papers 4, AlmaLaurea Inter-University Consortium.
  • Handle: RePEc:laa:wpaper:4

    Download full text from publisher

    File URL:
    File Function: First version, 2011
    Download Restriction: no

    More about this item


    survey; cawi; cati; self-selection bias; propensity score approach;

    NEP fields

    This paper has been announced in the following NEP Reports:


    Access and download statistics


    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:laa:wpaper:4. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (). General contact details of provider: .

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.