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                            Library & Multimedia
 Optimizing Juvenile Assessment Performance
NCJ Number
              255940

Author(s)
          Zachary Hamilton;
                        Alex Kigerl;
                        Melissa Kowalski .
Date Published

December 2020
Length
              264 pages
Annotation
              Since research findings on methods of risk assessment within the juvenile justice system are rarely translated for and applied in practice, the goal of this project was to isolate, test, and evaluate the relative impact of seven notable risk-assessment development variations.
Abstract
              The variations were 1) item selection technique, 2) response weighting, 3) gender responsivity, 4) race-ethnicity neutrality, 5) outcome specificity, 6) prediction duration, and 7) jurisdiction variation. The combined effects of multiple variations were also examined as an eighth variation. The project used a 10-state sample of youth, who were assessed using the same assessment. The project developed risk assessment models using the seven development methods. Where required, boosted regression models were used to identify predictive items and provide coefficient weights. In addition, several sub-samples were developed to examine and compare approaches between gender and race/ethnic groups. Comparisons were made between the 10-site unified sample and models created to capture site differences. To measure model performance, k-fold validation was completed, and industry standard predictive performance metrics were developed. Findings identified consistent and substantial improvements with each of the eight hypothesized variations. Outcome and jurisdiction-specific models identified just over a full effect size improvement. In addition, the project identified an optimized set of models for the 10 sites. These were customized tools based on each data set. They can be implemented to improve predictive performance. Recommendations focus on how the field can make similar adjustments to off-the-shelf tools in optimizing predictive performance. 41 tables, 1 figure, and 99 references
      
  
          Additional Details
Grant Number(s)
        2017-JF-FX-0063


  
  
        
  Agencies
        NIJ-Sponsored
                                OJJDP-Sponsored


  
  
        
  Publication Type
        Research (Applied/Empirical)
                                Report (Study/Research)
                                Report (Grant Sponsored)
                                Program/Project Evaluation
                                Program/Project Description


  
  
        
  Award
        Optimizing Juvenile Assessment Performance
    
  
  
Date Published: December 1, 2020
    
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      PatentsRelated Topics
        
                Assessment (juvenile)
        Child health and welfare
        Crime risk factors
        Justice system
        Juvenile delinquency prediction



  
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