Prediction of Cyber Bullying through Components of Adversity Quotient | Zendy

Ali Mehdad | Zendy; Arezoo Vali Nezhad | Zendy; Monireh Hosseini | Zendy

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Prediction of Cyber Bullying through Components of Adversity Quotient

Author(s) -

Ali Mehdad,

Arezoo Vali Nezhad,

Monireh Hosseini

Publication year - 2018

Publication title -

international journal of psychology

Language(s) - English

Resource type - Journals

eISSN - 2676-4326

pISSN - 2008-1251

DOI - 10.24200/ijpb.2018.58143

Subject(s) - quotient , psychology , pearson product moment correlation coefficient , regression analysis , population , applied psychology , social psychology , clinical psychology , statistics , demography , mathematics , sociology , pure mathematics

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.

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