Show simple item record

dc.contributor.authorHerrenkohl, Todd Ianen_US
dc.date.accessioned2009-10-07T03:19:56Z
dc.date.available2009-10-07T03:19:56Z
dc.date.issued1998en_US
dc.identifier.otherb42178472en_US
dc.identifier.other40767098en_US
dc.identifier.otherThesis 47175en_US
dc.identifier.urihttp://hdl.handle.net/1773/11190
dc.descriptionThesis (Ph. D.)--University of Washington, 1998en_US
dc.description.abstractAnalyses combined measures from the 1990 census for Seattle with data from the Seattle Social Development Project (SSDP), a developmental longitudinal study of health-risk behaviors among urban youths. In the first set of analyses, multi-level models were constructed using the HLM program of Bryk, Raudenbush, & Congdon (1996). These models addressed the nested structure of individuals within neighborhoods (defined by block groups) and examined relationships between context measures derived from the 1990 census and individual-level outcomes. In the second set of analyses, standard logistic regression models were used to examine relationships between risk factor constructs and violence outcome measures.Results from the multi-level regression models revealed that youths' perceptions of neighborhood disorganization and attachment to neighborhoods varied between block group areas and that variation was associated with levels of neighborhood disadvantage, measured by the 1990 census. Residential stability, a second census measure, was also related to youths' levels of attachment to their neighborhoods. Further, analyses showed that neighborhood disadvantage may be related to gang involvement and violence during adolescence.Logistic regressions were used to estimate the prediction of violence (at ages 15, 16, and 18) using risk factor variables, all from youth-reports, representing the neighborhood, family, school, and peer domains. On the basis of theory, variables were entered hierarchically by blocks according to their domain of influence. An examination of the overall contribution of each domain to the prediction of violence and the unique effect of each risk factor was carried out. Analyses revealed that in all three hierarchical regressions (i.e. for violence at each age) each block contributed significantly to the overall prediction of violence. It was also determined that variables with unique effects were similar for violence at ages 15 and 16. Similarity between models was less apparent for violence at age 18. Generally, relationships between risk factors and violence at ages 16 and 18 remained consistent after controlling for violence at age 15. Implications of these findings for preventive interventions are discussed.en_US
dc.format.extentv, 145 p.en_US
dc.language.isoen_USen_US
dc.rightsCopyright is held by the individual authors.en_US
dc.rights.uriFor information on access and permissions, please see http://digital.lib.washington.edu/rw-faq/rights.htmlen_US
dc.subject.otherTheses--Social welfareen_US
dc.titleAn examination of neighborhood context and risk for youth violenceen_US
dc.typeThesisen_US


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record