Introduction - Western Carolina University

Correlational Study of Community, School and Family Attachment on Illegal Behavior of Adolescents Nathan Miller, Alvin Malesky Jr., and Phyllis Robertson Western Carolina University Results and Discussion

Introduction Methods Being able to identify the environmental influences which contribute to illegal behavior in adolescents is of critical importance to reducing such behavior. Social learning theory asserts that models in one’s environment heavily influence the observer’s behavior (Bandura, 1977). For example, parents play a role in the child’s inclination toward or away from illegal behavior. (Coombs & Paulson, 1988). In addition, research has shown that a child’s perception of violence in their neighborhood is associated with an increase in similar antisocial behavior of their own (Lambert et al., 2004). Furthermore, school connectedness, or the feeling on the part of the student that the adults in their school care about their success, has been shown to significantly correlate with increased resilience against delinquency (Battistich & Horn, 1997). Recognizing which circumstances increase the risk of these behaviors and which role models best insulate youth from engaging in illegal behaviors can assist agencies in implementing effective intervention program designed to curtail the perpetration of illegal behaviors in adolescents. State and community agencies are increasingly under pressure to “do more with less” and thus have to be judicious regarding how and where they spend their limited resources. Thus, it is hoped that this study may inform some decisions regarding where interventions should be focused in order to have the best chance of decreasing adolescent illegal behavior. However, it is hypothesized that significant correlations will be found between reported illegal behavior and each of the three environmental modeling scales.

Data were collected from two public high schools and a middle school in Western North Carolina as part of a gang assessment in the region. The questionnaire used in this study originated from the Office of Juvenile Justice and Delinquency Prevention (OJJDP) Comprehensive Gang Model: A Guide to Assessing Your Community’s Youth Gang Problem. Data were collected via Qualtrics, a secure online software survey program and data collection platform. Students accessed the online survey questionnaire using computers in their school’s computer labs. Participants were monitored to ensure minimal conversation occurred between students during the procedure. The monitor did not, however, view individual student responses. The student survey took between 30 to 45 minutes to complete. No identifying information was requested from the participants. Letters requesting student participation were sent to parents/legal guardians. In addition, students provided their assent to participate after the purpose and nature of the study were explained. A breakdown of the 1070 students surveyed revealed that 330 reported having participated in illegal behavior (i.e. drug use, weapon possession, alcohol consumption), of those; 136 were female, 194 were male, the group having a median age of 15(SD=1.15), the range of grade level was between 7th and 12th, 10.5 percent claimed Hispanic race, 3.3 percent claimed African American, .6 percent claimed Native American, and 80.9 percent claimed Caucasian. The scales used in this study demonstrated considerable internal consistency; community measure yielded a Cronbach’s alpha of .805, school .813 and family .847, and possessed face validity.

References Bandura, A. (1977). Social learning theory. Englewood Cliffs, NJ: Cognitive Prentice-Hall. Battistich V. & Horn A. (1997) The relationship between students’ sense of their school as a community and their involvement in problem behaviors. American Journal of Public Health; 87:1997–2001. Coombs, Robert H. & Paulson, Morris J. (1988) Contrasting family patterns of adolescent drug users and nonusers. Journal of Chemical Dependency Treatment, Vol 1(2), 59-72 Lambert S.F., Brown T.L., Phillips C.M. & Ialongo N.S. (2004) The relationship between perceptions of neighborhood characteristics and substance use among urban African American adolescents. American Journal of Community Psychology, 34, pp. 205–218.

The overall multiple regression model was significant (R2 =.33, F(3,272)=44.24, p