lynx   »   [go: up one dir, main page]
IDEAS home Printed from https://ideas.repec.org/p/boc/usug21/16.html
   My bibliography  Save this paper

The Stata module for CUB models for rating data analysis

Author

Listed:
  • G. Cerulli

    (IRCrES-CNR Rome, Italy)

  • R. Simone
  • F. Di Iorio
  • D. Piccolo

    (Department of Political Sciences, University of Naples Federico II, Italy)

  • C.F. Baum

    (Boston College, Chestnut Hill, MA, USA)

Abstract
Many survey questions are addressed as ordered rating variables to assess the extent by which a certain perception or opinion holds among respondents. These responses cannot be treated as objective measures, and a proper statistical analysis to account for their fuzziness is the class of CUB models, acronym of Combination of Uniform and Shifted Binomial (Piccolo and Simone 2019), establishing a different paradigm to model both individual perception (feeling) towards the items and uncertainty. Uncertainty can be considered as a noise for feeling measurement taking the form of heterogeneity of the distribution. CUB models are specified via a two-component discrete mixture to combine feeling and uncertainty modelling. In the baseline version, a shifted Binomial distribution accounts for the underlying feeling and a discrete Uniform accounts for heterogeneity, but different specifications are possible to encompass inflated frequencies, for instance. Featuring parameters can be linked to subjects' characteristics to derive response profiles. Then, different items (possibly measured on scales with different lengths) and groups of respondents can be represented and compared through effective visualization tools. Our contribution is tailored to present CUB modelling to the Stata community by discussing the CUB Module with different case studies to illustrate its applicative extent.

Suggested Citation

  • G. Cerulli & R. Simone & F. Di Iorio & D. Piccolo & C.F. Baum, 2021. "The Stata module for CUB models for rating data analysis," London Stata Conference 2021 16, Stata Users Group.
    • Handle: RePEc:boc:usug21:16
    as

    Download full text from publisher

    File URL: http://fmwww.bc.edu/repec/usug2021/usug21_simone.pdf
    File Function: presentation materials
    Download Restriction: no
    ---><---

    More about this item

    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:boc:usug21:16. See general information about how to correct material in RePEc.

    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 bibliographic 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.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Christopher F Baum (email available below). General contact details of provider: https://edirc.repec.org/data/stataea.html .

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

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.
    Лучший частный хостинг