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Browsing JRA Community by Author "Campbell, Christopher"

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    Developing an alternative juvenile programming effort to reduce detention overreliance
    (OJJDP Journal of Juvenile Justice, 2016) van Wormer, Jacqueline G.; Campbell, Christopher
    The assumption underlying juvenile detention alternatives is that youth on probation receiving programming or treatment are less likely to recidivate, whereas youth in detention will be more likely to recidivate. Under a coordinated justice reform effort, a juvenile justice court system serving two southeastern counties in Washington state developed a program (the FAST program) for probation violators that offered 2 sessions of accountability skill development to address targeted criminogenic needs in lieu of a formalized hearing and a subsequent stay in detention. The goal of the FAST program for participating youth was to reduce future probation violations and detention stays. This paper presents an evaluation of the FAST program using propensity score modeling of 434 juvenile probation violators. A comparison of matched groups shows the program does not reduce recidivism or future probation violations among participants, though it does produce the same result as those who received detention. Our explanation makes the case for increasing the dosage (number of sessions) of violator programs, which may be what is necessary to provide a more effective alternative to detention. [Author Abstract]
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    Panacea or poison: Can propensity score modeling (PSM) methods replicate the results from randomized control trials (RCTs)?
    (Criminal Justice Policy Research Institute, 2023-01-07) Campbell, Christopher; Labrecque, Ryan M.
    In this document, the authors report on a research project to determine whether or not propensity score modelling (PSM) can replicate the results of randomized controlled trials (RCTs) for criminal justice evaluations. For the research project, the authors set out to assess the reliability and validity of seven PSM methods in replicating the results of 10 criminal justice RCT experiments. In their research, the authors focused on the following five different PSM techniques: one-to-one matching, with and without a caliper; one-to-many matching, with and without a caliper; inverse probability of the treatment weighting (IPTW); stratified weighting scheme; and optimal pairs matching. The researchers gathered the datasets of 10 publicly available and restricted RCT studies from the National Archive of Criminal Justice Data (NACJD), introduced an artificial selection bias into the treatment groups of the investigations, and then used each PSM technique to remove the selection bias. The researchers then compared the results generated from the PSM methods to those derived from the original RCT experiments and meta-analyzed the findings across all studies to reveal the true reliability and validity of PSM in relation to RCTs using criminal justice data. Results indicated that there is sufficient support for the use of PSM in criminal justice research, and the authors note that their research demonstrated that those seven PSM methods can be an effective means for estimating reliable and valid simulation of RCT experiments.