IDEAS home Printed from https://ideas.repec.org/a/aac/ijirss/v8y2025i5p615-620id8776.html
   My bibliography  Save this article

The contribution of successful intelligence in predicting students' orientation toward academic quality of life

Author

Listed:
  • Abdulaziz Mohammed Alismail
  • Mazen Omar Almulla
  • Ibrahiem elsayd iesa ghoniem
  • Mohammed Munahi Alsubaie

Abstract

This study investigated the relationship between successful intelligence and the academic quality of life among university students in Saudi Arabia. A descriptive, correlational, and causal-comparative design was employed. The population comprised all undergraduate students at King Faisal University in Al-Ahsa (N = 33,833), across scientific and humanities disciplines. A stratified random sample of 395 students (190 males, 205 females) was selected, and a pilot sample of 100 students was used to validate the study instruments. Two validated instruments were used: the Successful Intelligence Scale Al-Otebi and Al-Qamash [1] and the Academic Quality of Life Scale Abd Elraziq [2] both demonstrating high internal consistency (omega = 0.705–0.909). The findings revealed a statistically significant positive correlation (p < .01) between successful intelligence and the total score and dimensions of academic quality of life, with Pearson's r ranging from 0.379 to 0.535. Furthermore, multivariate analysis of variance (MANOVA) showed significant differences based on academic major and the interaction between gender and major, with no differences by gender alone. Independent samples t-tests indicated higher scores for students in scientific majors on both variables. Simple linear regression analysis revealed that successful intelligence significantly predicted academic quality of life (R² = 0.286, F = 157.31, p < .01), explaining 28.6% of the variance. These findings highlight the predictive role of successful intelligence in enhancing the academic quality of life and suggest implications for support programs in higher education.

Suggested Citation

  • Abdulaziz Mohammed Alismail & Mazen Omar Almulla & Ibrahiem elsayd iesa ghoniem & Mohammed Munahi Alsubaie, 2025. "The contribution of successful intelligence in predicting students' orientation toward academic quality of life," International Journal of Innovative Research and Scientific Studies, Innovative Research Publishing, vol. 8(5), pages 615-620.
  • Handle: RePEc:aac:ijirss:v:8:y:2025:i:5:p:615-620:id:8776
    as

    Download full text from publisher

    File URL: https://ijirss.com/index.php/ijirss/article/view/8776/1981
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;

    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:aac:ijirss:v:8:y:2025:i:5:p:615-620:id:8776. 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: Natalie Jean (email available below). General contact details of provider: https://ijirss.com/index.php/ijirss/ .

    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.