Coercion and deviant behavior: experimental test of differential coercion and Social support theory
Volume 19, Issue 2, Summer 2018, Pages 99-127
https://doi.org/10.22034/jsi.2019.36917
M.R. Hasani, F. Mohammadzadeh, M.o. Hossainbor, A.R. Hasanifar
Abstract Purpose: The study investigates the explanatory power of Social Support Theory and differntal coercion in the field of social deciances.
Method: This research has been carried out through a survey using questionnaire distributed among the student of Sistan and Baluchestan University. 400 students have selected through proportionate stratified sampling method. To measure of deviant behavior, four dimensions were considered. Validity of research measured by content validity and construct validity and reliability of research evaluated using Cronbach's alpha coefficient.
Conclusion: The regression results show that coercion has positive significant relation to deviant behavior. But this claim that social support moderated relation of coercion deviant behavior not confirmed. Also, coercion by increasing of delinquent peer groups and coercive ideation strengthen effect on deviant behavior. Whereas coercion by increasing anger and decreasing self-control don’t make to increase of deviant behavior.
Compuer Offences Among Univerctty Students: An Empirical Test Of Akers' Social Learning Theory
Volume 15, Issue 2, Summer 2013, Pages 24-56
Akbar Aliverdinia, Azam Malekdar, Mohammadreza Hasani
Abstract With the increase of computer-related deviant behaviors and formation of new crime, individuals and society have come across many threats. The current study tries to explain computer related offences among students of Mazandaran University, with the use of Akers' Social Learning Theory. Having done a survey, we distributed a questionnaire between 403 students whom had been selected by the use of proportional stratified sampling. The population was the whole students of the University in 2012-2013. Computer Offences variable consists of three dimensions: ‘against data & system’, ‘identity theft’ and ‘cultural’. Independent variables consists of differential association, differential reinforcement, definitions and imitation and their effects on computer offences are examined. Data is analyzed by “lisrel” and “Spss” software. The findings of SEM demonstrate that the relationships between differential association and differential reinforcement and computer-related offences are significant. The differential association, however, has the strongest effect on it (Beta= 0/41).