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Evaluating a Presumptive Drug Testing Technology in Community Corrections Settings, 2011, Alabama, Florida and Wyoming (ICPSR 34494)

Released/updated on: 2016-04-12
Geographic coverage: United States, Wyoming, Alabama, Florida
Time period: 2011-02-01--2011-12-01

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 was a multi-site evaluation of a presumptive drug detection technology (PDDT) developed by Mistral Security Incorporated (MSI). The evaluation was conducted by Justice and Security Strategies, Inc. (JSS) in work release programs, probation and parole offices, and drug courts in three states: Alabama, Florida, and Wyoming. Also, interviews with the offenders, corrections staff, and program administrators were conducted.

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Evaluating the Use of Iris Recognition Technology in Plumsted Township, New Jersey, 2002-2003 (ICPSR 4210)

Released/updated on: 2013-06-28
Geographic coverage: United States, New Jersey
Time period: 2002-10-01--2003-07-01
This study was conducted from October 2002 through July 2003 as a process and impact evaluation of iris recognition technology named T-PASS (Teacher-Parent Authorization Security System) used in three New Egypt schools in New Jersey. The research team observed the use of the iris scanners, both informally (Dataset 1) and formally (Dataset 2), using systematic social observation methods, collected "official" data on school visitation patterns (Dataset 3), and administered surveys to parents and teachers (Datasets 4-7). The various data collection methods were intended to shed light on two key issues: what was the experience of the schools in implementing iris recognition technology, and what was the overall impact of the technology. Specific variables included in the study are demographic variables on survey respondents (parents and teachers), perceptions of safety and problems in the schools and surrounding neighborhoods, and comparisons of the T-PASS system to alternative entry systems such as the buzzer and swipe card methods.
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LAPD's TEAMS II: The Impact of a Police Integrity Early Intervention System, Los Angeles, California, 2000-2015 (ICPSR 36574)

Released/updated on: 2018-09-17
Geographic coverage: United States, Los Angeles, California
Time period: 2000-01-01--2015-01-01

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 research was an evaluation of the Los Angeles Police Department's (LAPD) Training Evaluation and Management System II (TEAMS II) Early Intervention System conducted by Justice and Security Strategies, Inc. TEAMS II was designed to identify officers at-risk for engaging in future problematic behavior. This system was mandated as part of the Consent Decree (Section II) that was formally entered into on June 15, 2001 between the U.S. Department of Justice and the LAPD. Justice and Security Strategies, Inc. research staff worked with the Information Technology Bureau to obtain and analyze TEAMS II data, conducted informal interviews with officers, sergeants, civilians, command staff, and technologists involved with TEAMS II, and worked with the TEAMS II contractors to examine and provide recommendations.

The data collection includes 3 Stata data files. The concentration analysis dataset (TEAMS-Concentration-Analysis-FINAL-v2.dta) with 143 variables for 15,710 cases, the regression-discontinuity dataset (TEAMS-Regression-Discontinuity-FINAL.dta) with 98 variables for 297,779 cases, and the time series dataset (TEAMS-Time-Series-FINAL.dta) with 43 variables for 192 cases. Demographic variables included as part of this data collection include officer age, gender, ethnicity, education level, and total number of officers employed by demographics.

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