IDEAS home Printed from https://ideas.repec.org/p/rtr/wpaper/0186.html
   My bibliography  Save this paper

Non-metric PLS path modling: integration into the labour market of sapienza graduates

Author

Listed:
  • Francesca Petrarca

Abstract

Non-Metric Partial Least Squares Path Modeling is a recent methodology based on the concept of Optimal Scaling applied to PLS Path Modeling algorithms. We adopted Non-Metric PLS Path Modeling to analyse a large administrative dataset containing nominal and ordinal variables using a specialized R package now available. We suggest a model in order to perform a preliminary quantitative study of the job success of Sapienza University of Rome graduates in terms of quality of work.

Suggested Citation

  • Francesca Petrarca, 2013. "Non-metric PLS path modling: integration into the labour market of sapienza graduates," Departmental Working Papers of Economics - University 'Roma Tre' 0186, Department of Economics - University Roma Tre.
  • Handle: RePEc:rtr:wpaper:0186
    as

    Download full text from publisher

    File URL: http://dipeco.uniroma3.it/db/docs/WP%20186.pdf
    Download Restriction: no

    More about this item

    Keywords

    Optimal Scaling; PLS Path Modeling; Structural Equation Models; Categorical Variables; Administrative Archive; Economics Education Research.;

    JEL classification:

    • C10 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - General
    • C39 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Other
    • A20 - General Economics and Teaching - - Economic Education and Teaching of Economics - - - General

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    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:rtr:wpaper:0186. 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: (Telephone for information). General contact details of provider: http://edirc.repec.org/data/dero3it.html .

    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.