IDEAS home Printed from
MyIDEAS: Log in (now much improved!) to save this article

Le competenze dei laureati mediante l'analisi di Rasch

Listed author(s):
  • Lucio Bertoli-Barsotti
  • Valeria Caviezel
  • Silvia Biffignandi
Registered author(s):

    Competences of graduates by Rasch analysis (by Lucio Bertoli-Barsotti, Silvia Biffignandi, Valeria Caviezel). Objectives In this study we apply the Rasch analysis to evaluate the competences of graduates in their job (required and effective competences). The database comes from a study of employment performances of University of Bergamo graduates. In this paper, we study the latent variable which is constructed as a difference between the score attributed by the subject to the item on effectiveness and the score attributed to the importance of the corresponding item. Each item represents activities related to the job. Starting from 26 items, we want to determine a new collection as a good measurement instrument according to the Rasch analysis. Methods and Results Bearing in mind that the initial data was based on a Likert 5-point scale, the variable difference had a score ranging from 4 to +4. Recategorisation was necessary to avoid problems of ill-conditioning with the data set; optimal categorisation was determined via a Likert 4-point scale identified thus: 000123333. Subsequently, 6 sociodemographic variables were selected as person factors: degree course (Economics, Languages, Engineering), sex (male, female), graduation mark, income group, whether employee or self-employed, length of employment. The introduction of person factors allowed the collective data to be broken down into subgroups potentially reflecting a variety of response typologies (Differential Item Functioning). Subjects with a high level of missing responses, due either to effectively omitted responses or responses pertaining to the category of item not relevant, were eliminated from the original data set. Thus, 698 subjects were involved in the analysis. Having applied a stepwise selection of the items, which consisted in eliminating one item at a time, starting from the most problematic items, while observing the values indicated by the model’s goodness of fit, a new test containing 21 items was determined. The result obtained was additionally confirmed via an application of the Andersen test. Conclusions Finally, this newly determined test could have a future use in investigations aimed at assessing graduates’own perception of performance with respect to other subject groups, or within the same group or part of it, in those instances where the focus might be on a longitudinal analysis of data. Furthermore, there is potential for a least a partial use of the new test in the context of an extension of such measurements to other items and subjects (by linking design).

    If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

    File URL:
    Download Restriction: Single articles can be downloaded buying download credits, for info:

    As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.

    Article provided by FrancoAngeli Editore in its journal RIVISTA DI ECONOMIA E STATISTICA DEL TERRITORIO.

    Volume (Year): 2007/3 (2007)
    Issue (Month): 3 ()
    Pages: 109-135

    in new window

    Handle: RePEc:fan:restre:v:html10.3280/rest2007-003008
    Contact details of provider: Web page:

    Order Information: Web: Email:

    No references listed on IDEAS
    You can help add them by filling out this form.

    This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

    When requesting a correction, please mention this item's handle: RePEc:fan:restre:v:html10.3280/rest2007-003008. 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: (Angelo Ventriglia)

    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.

    If references are entirely missing, you can add them using this form.

    If the full references list an item that is present in RePEc, but the system did not link to it, you can help with 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 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.

    This information is provided to you by IDEAS at the Research Division of the Federal Reserve Bank of St. Louis using RePEc data.