Alabama Sentencing Simulation Model, 1998-2003 (ICPSR 34671)
Prior to 2003, the State of Alabama had no formal methodology to forecast prison populations, including a simulation model or statistical time-series and forecasting methods. Instead, the Alabama Department of Corrections relied on percent growth models, using the existing prison population to forecast future statewide prison populations. As Alabama moved toward a structured sentencing system, more precision was needed to investigate the impact statewide sentencing reform would have on the prison population. Adding to the need for more precise forecast methods, the Alabama Sentencing Commission intended to incorporate Virginia worksheet-style sentencing guidelines into its sentencing reform efforts. The Virginia sentencing guidelines uses offender and offense factors identified with statistical models and weights to guide sentence recommendations. Alabama require an analytical tool to guide the Commission during development of such a complicated sentencing system. To shepherd this process, the simulation model development project was undertaken which consisted of three phases;
- The development of a baseline projection of current practices for later comparison with projections made following implementation of the sentencing standards;
- Incorporating the initial sentencing standards into the simulation model; and
- Integrating disparate modules together into a user-friendly model interface.
Applying Artificial Intelligence to Person-Based Policing Practices, 2019-2023 (ICPSR 39074)
Empirical Investigation of "Going to Scale" in Drug Interventions in the United States, 1990, 2003 (ICPSR 26101)
Improving Officer Decision-Making: Can Personality Predict Outcomes in Use of Force Decisions? North Carolina and South Carolina, 2018-2020 (ICPSR 38687)
The current study sought to examine the impact of select psychological, cognitive, professional experience and social network factors on police officers' decisions to use force. Additionally, the study examined the impact of a brief citizen education intervention (i.e. the completion of police officer training simulations) on citizens' attitudes toward police and use of force. All participants completed three training scenarios inside a firearms training simulator.
A sample of law enforcement officers and civilians took part in the study. Participants completed a series of questionnaires designed to measure, among other things:
- Positive and Negative Emotionality
- Need for Cognition
- Cognitive Reflection
- Professional experiences as a police officer (law enforcement participants only)
- Size of friendship networks within the workplace (law enforcement participants only)
- Perceptions of how their friendship networks would be impacted if the participant were to use excessive force (law enforcement participants only)
- Pre-post measures of attitudes toward police (civilian participants only)
Investigating the Impact of In-car Communication on Law Enforcement Officer Patrol Performance in an Advanced Driving Simulator in Mississippi, 2011 (ICPSR 34922)
These data are part of NACJD's Fast Track Release and are distributed as they there received from the data depositor. The files have been zipped by NACJD for release, but not checked or processed except of the removal of direct identifiers. Users should refer to the accompany readme file for a brief description of the files available with this collections and consult the investigator(s) if further information is needed.
This study used an experimental design to evaluate law enforcement officers' driving, visual attention, and situation awareness during patrol driving. The conditions were varied to determine the impact of information presentation formats on officers' ability to execute patrols. In addition, the effectiveness of in-vehicle technologies that may provide additional support to the officer and reduce the impact of information overload were investigated.