The Benefits of Body-Worn Cameras: New Findings from a Randomized Controlled Trial at the Las Vegas Metropolitan Police Department, Nevada, 2014-2015 (ICPSR 37048)
These data are part of NACJD's Fast Track Release and are distributed as they were received from the data depositor. The files have been zipped by NACJD for release but not checked or processed except for the removal of direct identifiers. Users should refer to the accompanying readme file for a brief description of the files available with this collection and consult the investigator(s) if further information is needed.
This study reports the findings of a randomized controlled trial (RCT) involving more than 400 police officers and the use of body-worn cameras (BWC) in the Las Vegas Metropolitan Police Department (LVMPD). Officers were surveyed before and after the trial, and a random sample was interviewed to assess their level of comfort with technology, perceptions of self, civilians, other officers, and the use of BWCs. Information was gathered during ride-alongs with BWC officers and from a review of BWC videos.
The collection includes 2 SPSS data files, 4 Excel data files, and 2 files containing aggregated treatment groups and rank-and-treatment groups, in Stata, Excel, and CSV format:
- SPSS: officer-survey---pretest.sav (n=422; 30 variables)
- SPSS: officer-survey---posttest2.sav (n=95; 33 variables)
- Excel: officer-interviews---form-a.xlsx (n=23; 52 variables)
- Excel: officer-interviews---form-b.xlsx (n=27; 52 variables)
- Excel: ride-along-observations.xlsx (n=72; 20 variables)
- Excel: video-review-data.xlsx (n=53; 21 variables)
- Stata: hours-and-compensation-rollup-to-treatment-group.dta (n=4; 42 variables)
- Excel: hours-and-compensation-rollup-to-treatment-group.xls (n=4; 42 variables)
- CSV: hours-and-compensation-rollup-to-treatment-group.csv (n=4; 42 variables)
- Stata: hours-and-compensation-rollup-to-rank-and-treatment-group.dta (n=12; 43 variables)
- Excel: hours-and-compensation-rollup-to-rank-and-treatment-group.xls (n=12; 43 variables)
- CSV: hours-and-compensation-rollup-to-rank-and-treatment-group.csv (n=12; 43 variables)
Census of Law Enforcement Aviation Units, 2007 [United States] (ICPSR 25482)
Evaluating the Crime Control and Cost-Benefit Effectiveness of License Plate Recognition (LPR) Technology in Patrol and Investigations, United States, 2014 (ICPSR 37049)
These data are part of NACJD's Fast Track Release and are distributed as they were received from the data depositor. The files have been zipped by NACJD for release, but not checked or processed except for the removal of direct identifiers. Users should refer to the accompanying readme file for a brief description of the files available with this collection and consult the investigator(s) if further information is needed.
This study, through a national survey and field studies in both patrols and investigations, examined the crime control and cost-effectiveness of the use of license plate readers (LPRs) within police agencies in the United States.
The collection contains 1 SPSS data file (Data-file-for-2013-IJ-CX-0017.sav (n=329; 94 variables)).
A demographic variable includes an agency's number of authorized full time personnel.
Evaluation of Less-Lethal Technologies on Police Use-of-Force Outcomes in 13 Sites in the United States, 1992-2007 (ICPSR 27561)
Evaluation of the Use of Computers in Patrol Cars by the San Francisco Police Department, 1999-2000 (ICPSR 3489)
Harnessing Existing Technologies to Mitigate Driving Distraction Among Law Enforcement Officers, Iowa, Tennessee, Wisconsin, Wyoming, 2019 (ICPSR 38994)
Nearly half of the law enforcement officers killed in the line of duty in the United States were due to automobile crashes. Driver distraction has been identified as a common causal factor leading to the crash, with the primary source of distractions being the mobile computer. While there is plenty of literature on officer safety, what is lacking is an understanding of the needs of the officers to interact with the control or communication equipment while driving and how that interaction impacts distraction and, consequently, officer safety. To examine these issues, the research team conducted focus group discussions with law enforcement officers from local, county, and state agencies in four states. The two primary topics of discussion were:
- Officer requirements to operate different pieces of equipment while driving, and
- Different software and systems being used in patrol cars.
Impact of Oleoresin Capsicum Spray on Respiratory Function in Human Subjects in the Sitting and Prone Maximal Restraint Positions in San Diego County, 1998 (ICPSR 2961)
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.
Law Enforcement Management and Administrative Statistics (LEMAS), 2013 (ICPSR 36164)
Law Enforcement Management and Administrative Statistics (LEMAS), 2016 (ICPSR 37323)
Law Enforcement Management and Administrative Statistics (LEMAS), 2020 (ICPSR 38651)
Multi-Method Evaluation of Police Use of Force Outcomes: Cities, Counties, and National, 1998-2007 [United States] (ICPSR 25781)
Reducing Traffic-Related Officer Fatalities and Injuries Through Technology Enhancements and Policy, United States, 2013-2021 (ICPSR 39075)
Police officers rely on technology to safely arrive to scenes of emergency response. Although the technology in vehicles is becoming more sophisticated, it also presents a hazard while trying to safely operate a vehicle, often at high speeds. Increased refinement and understanding of the technologies are needed, including how they can be controlled and what is acceptable use for modern-day police officers.
The two objectives of this research were 1) to determine ways to improve police officer safety by evaluating technology enhancements that improve information delivery to officers in patrol vehicles and 2) to evaluate agency driving policies for response-to-calls service using crash and arrest data, specifically to investigate if vehicle driving speed influences a call's outcome. These objectives were achieved using parallel research investigations, including a qualitative analysis of how officers perceived and reacted to technology enhancements that were deployed in patrol vehicles. Focus groups and a follow-up survey were conducted so officers could provide feedback on the role of technology and the specific software programs implemented during the study for evaluation. Agency traffic crash data and computer-aided dispatch response-to-call data were also analyzed to determine the impact of response-to-call speed cap policies.
This collection contains data representing six police agencies across the United States: response-to-call data (DS1-DS4), vehicle crash data (DS5-DS7), post-intervention officer survey data (DS8), and pre-intervention officer focus group data (DS9). NOTE: Focus group data are not currently available.
Research on the Impact of Technology on Policing Strategy, 2012-2014 [United States] (ICPSR 36367)
These data are part of NACJD's Fast Track Release and are distributed as they were received from the data depositor. The files have been zipped by NACJD for release, but not checked or processed except for the removal of direct identifiers. Users should refer to the accompanying readme file for a brief description of the files available with this collection and consult the investigator(s) if further information is needed.
The purpose of this study was to develop a research-based framework to guide police agencies in future selection, implementation, and use of technology. This project was conducted in three phases. First, an expert panel was convened to identify key policing technology and to ensure that the survey captured critical indicators of technology performance. Second, a nationally representative survey was administered to over 1,200 state and local law enforcement agencies. The survey explored policing strategies and activities as well as technology acquisition, use, and challenges.
Testing and Evaluating Body Worn Video Technology in the Los Angeles Police Department, California, 2012-2018 (ICPSR 37467)
This research sought to evaluate the implementation of body worn cameras (BWCs) in the Los Angeles Police Department (LAPD). Researchers employed three strategies to evaluate the impact of BWCs in the department: 1) two-wave officer surveys about BWCs, 2) two-wave Systematic Social Observations (SSOs) of citizen interactions from officer ride-alongs, and 3) a time series analysis of existing LAPD data of use of force and complaint data.
The officer surveys were conducted in the Mission and Newton divisions of the LAPD before and after BWCs were implemented. The survey instrument was designed to measure perceptions of BWCs across a variety of domains and took approximately 20 minutes to complete. Researchers attended roll calls for all shifts and units to request officer participation and administered the surveys on tablets using the Qualtrics software. The pre-deployment survey was administered in both divisions August and September 2015. The post-deployment surveys were conducted with a subset of officers who participated in the pre-deployment surveys during a two-week period in the summer of 2016, approximately nine months following the initial rollout of BWCs.
The SSO data was collected in the Mission and Newton divisions prior to and following BWC implementation. The pre-administration SSOs were conducted in August and September 2015 and the post-administration SSOs were conducted in June and August, 2016. Trained observers spent 725 hours riding with and collecting observational data on the encounters between officers and citizens using tablets to perform field coding using Qualtrics software. A total of 124 rides (71 from Wave I and 53 from Wave II) were completed between both Newton and Mission Divisions. These observations included 514 encounters and involved coding the interactions of 1,022 citizens, 555 of which were deemed to be citizens who had full contact, which was defined as a minute or more of face-time or at least three verbal exchanges.
Patrol officers (including special units) for ride-alongs were selected from a master list of officers scheduled to work each day and shift throughout the observation period. Up to five officers within each shift were randomly identified as potential participants for observation from this master list and observers would select the first available officer from this list. For each six-hour observation period, or approximately one-half of a shift, the research staff observed the interactions between the assigned officer, his or her partner, and any citizens he or she encountered. In Wave 2, SSOs were conducted with the same officers from Wave 1.
The time series data were obtained from the LAPD use of force and complaint databases for each of the 21 separate patrol divisions, a metropolitan patrol division, and four traffic divisions of the LAPD. These data cover the time period where BWC were implemented throughout the LAPD on a staggered basis by division from 2015 to 2018. The LAPD operates using four-week deployment periods (DPs), and there are approximately 13 deployment periods per year. These data span the period of the beginning of 2012 through the 2017 DP 12. These data were aggregated to counts by deployment period based on the date of the originating incident. The LAPD collects detailed information about each application of force by an officer within an encounter. For this reason, separate use of force counts are based on incidents, officers, and use of force applications. Similarly, the LAPD also collects information on each allegation for each officer within a complaint and public complaint counts are based on incidents, officers, and allegations.