IDEAS home Printed from https://ideas.repec.org/p/hig/wpaper/136psy2023.html
   My bibliography  Save this paper

Psychometric Properties And Validation Of The Persian Version Of The Status-Based Identity Uncertainty Scale In Iran

Author

Listed:
  • Elaheh Khezri

    (National Research University Higher School of Economics)

  • Alexander Tatarko

    (National Research University Higher School of Economics)

Abstract

Status-based identity uncertainty (SBIU) is the extent of instability in an individual’s understanding of their socioeconomic status (SES). This study aimed to adapt and validate the SBIU scale within the general Iranian population. We translated this scale into Persian and collected data from 162 Iranian adults. Corrected item-total correlations and Cronbach’s alpha coefficient (.85) supported the reliability of this instrument. Factor analysis yielded a two-factor model consisting of status doubt and status instability. Convergent validity was confirmed by establishing the unique association of SBIU with SES and income. The distinct factor loading of SBIU from self-concept clarity also provided support for its discriminant validity. Overall, this study establishes the reliability and validity of the SBIU scale for measuring status uncertainty in Iran

Suggested Citation

  • Elaheh Khezri & Alexander Tatarko, 2023. "Psychometric Properties And Validation Of The Persian Version Of The Status-Based Identity Uncertainty Scale In Iran," HSE Working papers WP BRP 136/PSY/2023, National Research University Higher School of Economics.
  • Handle: RePEc:hig:wpaper:136psy2023
    as

    Download full text from publisher

    File URL: https://wp.hse.ru/data/2023/09/29/2063293828/136PSY2023.pdf
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    Status-based identity uncertainty; socioeconomic status; self-concept clarity; Iran;
    All these keywords.

    JEL classification:

    • Z - Other Special Topics

    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:hig:wpaper:136psy2023. 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: Shamil Abdulaev or Shamil Abdulaev (email available below). General contact details of provider: https://edirc.repec.org/data/hsecoru.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.