Assessing predictive factors of men's violence against women in Piranshahr based on social cognitive theory in 2016

Abstract

Background: Despite the increasing numbers of studies that are conducted on violence against women from social and psychological perspective, there are few studies in socio-psychological viewpoint among married men based a theortical framework. Therfore, present study designed and executed with the purpose of the application of social cognitive theory in predicting effective factors of violence against women among married men.

Methods: This research was an analytical cross-sectional study that is done among Piranshahr's married men on 2016. Data achieved by completion of researcher questionnaire and gathered by 576 married men that were chosen through multistage cluster sampling method from 5 Piranshar's county . Analysis of data is done by SPSS 21 and Mplus 6.2 software. Result: Results showed that among the demographic variables, illiteracy, agriculture jobs, income (1 to 2 million Toman), and being the first marriage 2.12, 3.27, 2.37 and 2.08 times increase liklihood of violence against women. In addition, it found that men married with non-family women and those who smoke had more chance to behavior. On the other hand, among social cognitive concepts, only observational learning reduced 20% odds for violence aganst women, outcome expectancy and impulsivity 12% and 6% increased the liklihood of behavior, respectively . The results also provided a proper fit for a conceptual model of reciprocal determinism.

Conclusions: Study of effective factors on violence against women in socio-cognitive perspective revealed that among structures of this theory, observational learning and outcome expectancy were the most important predictors on violence against women. Furthermore, it was found that not only cognitive factors affect behavior of violence against women and environment, but also environmental factors affect cognitive factors and behavior.