IDEAS home Printed from https://ideas.repec.org/a/vrs/foeste/v20y2020i1p390-407n23.html
   My bibliography  Save this article

Methods of a Multivariate Analysis of Non-Metric Data in Evaluating the Generational Perception of Social Characteristics

Author

Listed:
  • Stanimir Agnieszka

    (Wroclaw University of Economics, Faculty of Economics and Finance, Department of Econometrics and Operational Research,Komandorska 118/120, 53-345Wrocław, Poland)

Abstract

Research background: The search for factors influencing the evaluation of the quality of life in terms of subjective and objective socio-economic aspects was the background of the study. The search for perfect multivariate statistical methods in the describing of the assessments made by respondents in variable groups, as well as the categories was carried out.

Suggested Citation

  • Stanimir Agnieszka, 2020. "Methods of a Multivariate Analysis of Non-Metric Data in Evaluating the Generational Perception of Social Characteristics," Folia Oeconomica Stetinensia, Sciendo, vol. 20(1), pages 390-407, June.
    • Handle: RePEc:vrs:foeste:v:20:y:2020:i:1:p:390-407:n:23
    DOI: 10.2478/foli-2020-0023
    as

    Download full text from publisher

    File URL: https://doi.org/10.2478/foli-2020-0023
    Download Restriction: no
    File URL: https://libkey.io/10.2478/foli-2020-0023?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    More about this item

    Keywords

    generations Y; X; BB; correspondence analysis; factor analysis; quality of life;
    All these keywords.

    JEL classification:

    • C3 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables
    • I31 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - General Welfare, Well-Being
    • R2 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis
    • R5 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Regional Government Analysis

    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:vrs:foeste:v:20:y:2020:i:1:p:390-407:n:23. 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: Peter Golla (email available below). General contact details of provider: https://www.sciendo.com .

    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.