[Home ] [Archive]   [ فارسی ]  
:: Main :: About :: Current Issue :: Archive :: Search :: Submit :: Contact ::
Main Menu
Home::
Journal Information::
Articles archive::
For Authors::
For Reviewers::
Registration::
Contact us::
Site Facilities::
reviewer::
Word Cloud::
::
In Publish
  • Predicting of Psychological wellbeing through meaning in work, job satisfaction, quality of work life and psychological capital
    Eraj Mohamad Abdalrasoul Alsharghy, Ali Mehdad *, Ahmed Abdulkadhim. Johni, Zahra Yousefi
  • Effectiveness of Philosophy Education on Hopefulness and Cognitive Emotion Regulation in Adolescents with Cancer
    Yasna Mirzakhani, Masoomeh Khodadad, Reyhaneh Sheykhan *, Tooraj Sepahvand
  • ..
    Search in website

    Advanced Search
    ..
    Receive site information
    Enter your Email in the following box to receive the site news and information.
    ..






    Creative Commons License

    :: Volume 12, Issue 1 (11-2018) ::
    ijpb 2018, 12(1): 30-49 Back to browse issues page
    Prediction of Cyber Bullying through Components of Adversity Quotient in Depressive Students
    Monireh Sadat Hosseini , Arezoo Vali Nezhad * , Ali Mahdad
    Abstract:   (4679 Views)
    The main purpose of this study was to predict cyber bullying (email and online) through the components of the adversity quotient (perceived control, origin and ownership, reach and endurance). The population in this study comprised all employees of a big public organization in Tehran in winter 2015 (1393). Among them, 271 persons were selected on the basis of convenience sampling method. Data were collected through the Adversity Quotient Profile (PEAK Learning Inc., 2008) and the Cyber Bullying Questionnaire (Savage, 2012), and analysed using Pearson correlation coefficient and multiple regression analysis. The results indicated significant negative relationships between all the components of the Adversity Quotient (perceived control, origin and ownership, reach and endurance) with Cyber Bullying (p<.05). Furthermore, the results of multiple regression analysis showed that the components of perceived control (F=48.2, P<.05) and reach (F=28.2, p<.01) could significantly predict cyber bullying.
    Keywords: adversity quotient, cyber bullying, Public Sector
    Full-Text [PDF 371 kb]   (1498 Downloads)    
    Type of Study: Research | Subject: General
    Received: 2021/11/14 | Revised: 2021/12/14 | Accepted: 2018/11/19 | Published: 2018/11/19



    XML   Persian Abstract   Print


    Download citation:
    BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
    Send citation to:

    Hosseini M S, Vali Nezhad A, Mahdad A. Prediction of Cyber Bullying through Components of Adversity Quotient in Depressive Students. ijpb 2018; 12 (1) :30-49
    URL: http://ijpb.ir/article-1-319-en.html


    Rights and permissions
    Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
    Volume 12, Issue 1 (11-2018) Back to browse issues page
    نشریه بین المللی روانشناسی International Journal of Psychology (IPA)
    Persian site map - English site map - Created in 0.02 seconds with 43 queries by YEKTAWEB 4735