Evaluation
Using Technology to Facilitate Successful Reentry Outcomes: A Randomized Controlled Trial of a Web-Based Reentry Planning Tool
Police Stops, Crime Prevention, and Community Reaction: A Randomized Field Experiment at Violent Crime Hot Spots
Experimental Test of Rehabilitative Field Work for Moderate-to-High Risk Adults
A Randomized Controlled Trial of ACTV versus T4C for Community Reentry: Differential Efficacy and Mechanisms of Change
Verification and evaluation of a miRNA panel for body fluid identification using DNA extracts
Research and Evaluation on Gangs and Gang Violence NIJ-2019-15270
A Randomized Controlled Trial of the Scenarios and Solutions Gang Prevention Program
Evaluation of Project Safe Neighborhoods
Evaluation of Project Safe Neighborhoods
Improving Juror Comprehension of Forensic Testimony and Its Effects on Decision-Making and Evidence Evaluation
Confidence, Latency, and Accuracy in Eyewitness Identification Made from Show-Ups: Evidence from the Lab, the Field, and Current Law Enforcement Practices
A Law Enforcement Pathway to Treatment: A Multi-Site Evaluation of Self-Referral Deflection Programs
Employing Evidence to Combat Everyday Tragedy
Assessing the Under-Reporting of Minor Victim Sex Trafficking
Evaluation of a Service Provision Program for Victims of Sex Trafficking
Evaluating Reentry Programs Using Data and Science
Evaluating Reentry Programs Using Data and Science
How do you use data and science to measure program success?
John Wetzel, secretary of corrections, Pennsylvania Department of Corrections and Grant Duwe, Ph.D., director of research and evaluation, Minnesota Department of Corrections explain how their agencies evaluate programs using data and science. Duwe details how the most effective programs provided by the Minnesota DOC have been those that focus on known risk factors for recidivism.
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