Examining the Factors Associated with Recidivism

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dc.contributor.author Tinik, Nathanael
dc.date.accessioned 2014-05-08T14:46:51Z
dc.date.available 2014-05-08T14:46:51Z
dc.date.issued 2014-05-08
dc.identifier.uri http://hdl.handle.net/11347/25
dc.description.abstract Recidivism, when used to describe criminals, is the act of an individual being rearrested for committing a similar offense. Many factors exist that are associated with recidivism and have predictive value. Age is one such factor; adolescents are becoming just as likely to commit crimes as adults. Other variables to consider when observing recidivism rates are type of crime committed, gender, history of mental illness, and race. Many studies focus on one of these variables while very few take more than one into consideration. It is important to understand each variable and how it relates to recidivism in order to see which ones, if any, has greater significance, but it is also important to see how these variables relate with one another and how, together, they affect recidivism rates. Logistic regression was used on Pennsylvania Sentencing Data from 1998 to analyze how the aforementioned factors interact in conjunction with one another and how these factors may have different values of significance in predicting recidivism.
dc.language.iso en_US en_US
dc.title Examining the Factors Associated with Recidivism en_US
dc.type Thesis en_US
dcterms.publisher Robert Morris University Honors Program


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