IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v14y2022i12p7502-d843158.html
   My bibliography  Save this article

Psychometric Properties of Intercultural Competences in a Central European Context

Author

Listed:
  • Osama Alhendi

    (Karoly Ihrig Doctoral School of Management and Business, University of Debrecen, 4032 Debrecen, Hungary)

  • Péter Lengyel

    (Institute of Applied Informatics and Logistics, University of Debrecen, 4032 Debrecen, Hungary)

  • Péter Balogh

    (Institute of Statistics and Methodology, University of Debrecen, 4032 Debrecen, Hungary)

  • József Tóth

    (Institute for the Development of Enterprises, Corvinus University of Budapest, 1093 Budapest, Hungary)

Abstract

This study aims to validate Fantini’s intercultural competence scale in a sample of foreign students in a Central European context, and to figure out the pathways which are critical in improving the intercultural competence of foreign students. To achieve that, the study used confirmatory factor analysis (CFA) to construct the structural equation model (SEM). The results indicate that the scale is reliable and valid for assessing foreign students’ intercultural competence. In addition, using the first-order CFA as a baseline model, the SEM indicates that each intercultural knowledge, attitude, and skills are essential in predicting the intercultural awareness of the students. On the other hand, enhanced awareness plays an important role in promoting the development of these factors. Based on that, the study provides university decision-makers with valuable information which can be helpful in formulating related policies and rules aiming to enhance the integration and intercultural contact between foreign and Hungarian students at the university environment.

Suggested Citation

  • Osama Alhendi & Péter Lengyel & Péter Balogh & József Tóth, 2022. "Psychometric Properties of Intercultural Competences in a Central European Context," Sustainability, MDPI, vol. 14(12), pages 1-22, June.
  • Handle: RePEc:gam:jsusta:v:14:y:2022:i:12:p:7502-:d:843158
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/14/12/7502/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/14/12/7502/
    Download Restriction: no
    ---><---

    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:gam:jsusta:v:14:y:2022:i:12:p:7502-:d:843158. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.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.