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Showing 2 results for Punishment

Gholamali Aghajari, Seyyed Mousa Golestaneh, Ali Pakizeh,
Volume 5, Issue 1 (1-2017)
Abstract

Objective: The present study aims at investigating the effects of behavioral therapy techniques through operant conditioning and observational learning on children’s aggression aged 4-6 years. 
Methods: To this end, a pretest-posttest quasi-experimental study with two experimental groups and a control group was designed. We used non-probability purposive sampling method to select 45 mothers of aggressive children out of all mothers in Deylam City, Iran. They were randomly assigned into three groups (each group included 15 participants). Primary data were collected using the questionnaire developed by Vahedi, Fathi-Azar, Hosseini-Nasab, and Moghadam (2008). To analyze the data, multivariate analysis of covariance, 1-way analysis of covariance, and Bonferroni tests were used. 
Results: The results indicated that teaching operant conditioning and observational learning techniques to the mothers reduced their children’s overall aggression along with its components, including verbal-offensive, physical-offensive, and relational aggression as well as impulsive anger.
Conclusion: These techniques are recommended to be used in clinical interventions to teach the families how to control their children’s aggression.  


Mitra Aghajani, Mahshid Izadi, Noorali Farrokhi, Fariba Hassani,
Volume 10, Issue 1 (1-2022)
Abstract

Objective: The primary purpose of this study was to investigate the relationships between reward and punishment sensitivities and positive and negative emotion regulation strategies among university students.
Methods: A total of 189 students of one of the universities in Tehran City, Iran, were selected by accessible random sampling. Then, the emotion regulation scale, attention control scale, experience questionnaire, emotional regulation questionnaire, positive emotion response questionnaire, and punishment and reward sensitivity questionnaire were distributed among them to collect data. The obtained data were analyzed in SPSS software v. 26 using the Pearson correlation and multiple regression analysis.
Results: The Pearson correlation coefficient showed a significant relationship between punishment and reward sensitivity and positive and negative emotion regulation strategies. Multiple regression analysis showed that sensitivity to reward and punishment could predict positive emotion regulation strategies properly. Multiple regression analysis results indicated that sensitivity to reward and punishment could also predict negative emotion regulation strategies.
Conclusion: Sensitivity to punishment and reward were significant and common factors in emotion regulation. These results show that activation as a technique plays a significant role in the behavior that enhances the individual’s search for reward. It suggests that this approach can increase reward-seeking and thus improve emotional regulation.


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