41 research outputs found

    Inmate Recidivism as a Measure of Private Prison Performance

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    The growth of the private corrections industry has elicited interest in the comparative performance of state and private prisons. One way to measure the service quality of private prisons is to examine inmates' postrelease performance. Current empirical evidence is limited to four studies, all conducted in Florida. This analysis replicates and adds to the Florida measures in a different state and enhances previous methods. It uses data for a large cohort of Oklahoma state prison inmates released between 1997 and 2001. Controlling for known covariates, multivariate survival analysis revealed comparative rates of reincarceration for inmates in multiple exposure and comparison groups. These results are unique among prior studies on this topic; private prison inmates had a greater hazard of recidivism in all eight models tested, six of which were statistically significant. Finding no empirical support for claims of superior service from private corrections, the authors discuss policy implications and prospects for future research.Yeshttps://us.sagepub.com/en-us/nam/manuscript-submission-guideline

    Factors influencing engineering students’ decisions to cheat by type of assessment

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    Academic dishonesty (cheating) has been prevalent on college campuses for decades, and the percentage of students reporting cheating varies by college major. This study, based on a survey of 643 undergraduate engineering majors at 11 institutions, used two parallel hierarchical multiple regression analyses to predict the frequency of cheating on exams and the frequency of cheating on homework based on eight blocks of independent variables: demographics, pre-college cheating behavior, co-curricular participation, plus five blocks organized around Ajzen’s Theory of Planned Behavior (moral obligation not to cheat, attitudes about cheating, evaluation of the costs and benefits of cheating, perceived social pressures to cheat or not to cheat, and perceived effectiveness of academic dishonesty policies). The final models significantly predict 36% of the variance in “frequency of cheating on exams” and 14% of the variance in “frequency of cheating on homework”. Students don’t see cheating as a single construct and their decisions to cheat or not to cheat are influenced differently depending on the type of assessment. Secondary findings are that a student’s conviction that cheating is wrong no matter what the circumstances is a strong deterrent to cheating across types of assessment and that a student who agrees that he/she would cheat in order to alleviate stressful situations is more likely to cheat on both exams and homework.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/42694/1/11162_2006_Article_9010.pd

    Exploring Lawyer Misconduct: An Examination of the Self-Regulation Process

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    Although white-collar professionals are often held in high esteem, sometimes persons in privileged positions engage in misconduct. Unfortunately, very little is known about the correlates associated with professional misconduct and even less is known about the sanctioning process among lawyers who are licensed by state bar associations and therefore subject to the bar rules regulating their professional conduct. We examine 213 complaints filed in one fiscal year with the Florida Bar alleging attorney misconduct and evaluate the factors that influence whether the complaint continued through or was discarded at each stage of the self-regulated grievance process. Using selection models that examine both the staff’s decision to send a case forward to the grievance committee as well as the grievance committee’s recommendation about sanctioning the lawyer, results show that both legal and extra-legal variables are related to these two processes
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