:: 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:   (2048 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
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Type of Study: Research | Subject: General
Received: 2021/11/14 | Revised: 2021/12/14 | Accepted: 2018/11/19 | Published: 2018/11/19



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Volume 12, Issue 1 (11-2018) Back to browse issues page