English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

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.

Prediction of Cyber Bullying through Components of Adversity Quotient