Investigating Socio-cultural Factors associated with Deviancy and Misbehavior among Teenagers and the youth of Slaughterhouse District in Urmia

Abstract

The issue of marginalization emerged after land reform in Urmia, like other metropolises, and continued with greater force after Islamic revolution. Slaughterhouse district is considered one of the suburb areas with following building and construction attribute: housing construction with less durable materials, non-compliance with minimum standards of construction, buildings with no vies, inadequate road coverage, rusty and old equipment on the roofs of houses, unpleasant smell, children’s play on the side of a ditch, visual chaos, and undesirable physical features. This has created not only ugly landscape in the city, but also physical, mental, and social damage there. Thus, the present research accounts marginalization as a social dilemma which provides suitable context for residing people for deviancy and misbehavior.

Sampling

The research method of the present study is survey and questionnaire is the main tool to collect data. Research community included all teens and 13 to 30 years old young people of Slaughterhouse district in Urmia, a sum of 12600 individuals; of this group, 180 subjects were selected through systematic random sampling and Cochran formula and replied research-based questionnaire. Based on the results of the multivariate regression analysis, self-control, social links, socio-economic base, and relationship with deviant people, religiosity, job of blue collar employees, and a feeling of anomie are associated with dependent variables and self-control and social links have the highest impact among independent variables. Coefficient correlation value (R), 0.76 between variables shows that there exists a strong correlation between independent and dependent variables. In general, according to coefficient value determination, independent variables managed to explain 58/8 of dependent variables. This means that 58/8 of propensity towards deviancy of participants can be predicted through significant independent variables present in the study.