Showing 1 – 5 of 5 results.
Curated
Arrestee Drug Abuse Monitoring (ADAM) Program in the United States, 2001 (ICPSR 3688)
Released/updated on: 2006-03-30
Geographic coverage: North Carolina, Oklahoma City, Detroit, Charlotte, Indiana, Tucson, Albuquerque, Spokane, Utah, San Jose, New York City, San Diego, Arizona, Las Vegas, Sacramento, Seattle, California, Pennsylvania, Tulsa, Laredo, Iowa, Illinois, Texas, Portland (Oregon), Indianapolis, Oregon, United States, Oklahoma, Alabama, Cleveland, Washington, Nebraska, Albany (New York), Omaha, Minneapolis, Colorado, Honolulu, Missouri, New Orleans, Alaska, Phoenix, Denver, Salt Lake City, Dallas, Nevada, Des Moines, San Antonio, Chicago, Hawaii, Minnesota, Kansas City (Missouri), New York (state), Birmingham, Michigan, New Mexico, Louisiana, Anchorage, Ohio, Philadelphia
Time period: 2001-01-01--2001-12-31
The goal of the Arrestee Drug Abuse Monitoring (ADAM) Program is to determine the extent and correlates of illicit drug use in the population of booked arrestees in local areas. Data were collected in 2001 at four separate times (quarterly) during the year in 33 metropolitan areas in the United States. The ADAM program adopted a new instrument in 2000 in adult booking facilities for male (Part 1) and female (Part 2) arrestees. Data from arrestees in juvenile detention facilities (Part 3) continued to use the juvenile instrument from previous years, extending back through the DRUG USE FORECASTING series (ICPSR 9477). The ADAM program in 2001 also continued the use of probability-based sampling for male arrestees in adult facilities, which was initiated in 2000. Therefore, the male adult sample includes weights, generated through post-sampling stratification of the data. For the adult files, variables fell into one of eight categories: (1) demographic data on each arrestee, (2) ADAM facesheet (records-based) data, (3) data on disposition of the case, including accession to a verbal consent script, (4) calendar of admissions to substance abuse and mental health treatment programs, (5) data on alcohol and drug use, abuse, and dependence (6) drug acquisition data covering the five most commonly used illicit drugs, (7) urine test results, and (8) weights. The juvenile file contains demographic variables and arrestee's self-reported past and continued use of 15 drugs, as well as other drug-related behaviors.
Curated
Arrestee Drug Abuse Monitoring (ADAM) Program in the United States, 2002 (ICPSR 3815)
Released/updated on: 2006-03-30
Geographic coverage: North Carolina, Oklahoma City, Charlotte, Indiana, Tucson, Albuquerque, Spokane, Utah, San Jose, New York City, San Diego, Arizona, Las Vegas, Sacramento, Seattle, California, Washington, District of Columbia, Pennsylvania, Tulsa, Laredo, Iowa, Illinois, Texas, Portland (Oregon), Georgia, Indianapolis, Oregon, United States, Oklahoma, Rio Arriba, Alabama, Cleveland, Washington, Nebraska, Albany (New York), Omaha, Minneapolis, Woodbury, Atlanta, Colorado, Honolulu, New Orleans, Alaska, Phoenix, Denver, Salt Lake City, Dallas, Nevada, Des Moines, San Antonio, Chicago, Hawaii, Minnesota, New York (state), Birmingham, New Mexico, Louisiana, Anchorage, Ohio, Los Angeles, Philadelphia
Time period: 2002-01-01--2002-12-31
The goal of the Arrestee Drug Abuse Monitoring (ADAM) Program is to determine the extent and correlates of illicit drug use in the population of booked arrestees in local areas. Data were collected in 2002 at four separate times (quarterly) during the year in 36 metropolitan areas in the United States. The ADAM program adopted a new instrument in 2000 in adult booking facilities for male (Part 1) and female (Part 2) arrestees. Data from arrestees in juvenile detention facilities (Part 3) continued to use the juvenile instrument from previous years, extending back through the DRUG USE FORECASTING series (ICPSR 9477). The ADAM program in 2002 also continued the use of probability-based sampling for male arrestees in adult facilities, which was initiated in 2000. Therefore, the male adult sample includes weights, generated through post-sampling stratification of the data. For the adult files, variables fell into one of eight categories: (1) demographic data on each arrestee, (2) ADAM facesheet (records-based) data, (3) data on disposition of the case, including accession to a verbal consent script, (4) calendar of admissions to substance abuse and mental health treatment programs, (5) data on alcohol and drug use, abuse, and dependence, (6) drug acquisition data covering the five most commonly used illicit drugs, (7) urine test results, and (8) weights. The juvenile file contains demographic variables and arrestee's self-reported past and continued use of 15 drugs, as well as other drug-related behaviors.
Curated
Arrestee Drug Abuse Monitoring (ADAM) Program in the United States, 2003 (ICPSR 4020)
Released/updated on: 2006-03-30
Geographic coverage: North Carolina, Oklahoma City, Charlotte, Indiana, Tucson, Albuquerque, Spokane, Utah, San Jose, New York City, San Diego, Arizona, Las Vegas, Boston, Sacramento, Seattle, California, Florida, Pennsylvania, Tulsa, Iowa, Illinois, Texas, Portland (Oregon), Georgia, Tampa, Indianapolis, Oregon, United States, Oklahoma, Rio Arriba, Alabama, Cleveland, Washington, Nebraska, Albany (New York), Omaha, Minneapolis, Woodbury, Atlanta, Massachusetts, Colorado, Honolulu, New Orleans, Alaska, Phoenix, Denver, Salt Lake City, Dallas, Nevada, Des Moines, District of Columbia, San Antonio, Chicago, Hawaii, Minnesota, New York (state), Birmingham, Miami, New Mexico, Louisiana, Anchorage, Ohio, Los Angeles, Philadelphia, Houston
Time period: 2003-01-01--2003-12-31
The goal of the Arrestee Drug Abuse Monitoring (ADAM) Program is to determine the extent and correlates of illicit drug use in the population of booked arrestees in local areas. Data were collected in 2003 up to four separate times (quarterly) during the year in 39 metropolitan areas in the United States. The ADAM program adopted a new instrument in 2000 in adult booking facilities for male (Part 1) and female (Part 2) arrestees. The ADAM program in 2003 also continued the use of probability-based sampling for male arrestees in adult facilities, which was initiated in 2000. Therefore, the male adult sample includes weights, generated through post-sampling stratification of the data. For the adult male and female files, variables fell into one of eight categories: (1) demographic data on each arrestee, (2) ADAM facesheet (records-based) data, (3) data on disposition of the case, including accession to a verbal consent script, (4) calendar of admissions to substance abuse and mental health treatment programs, (5) data on alcohol and drug use, abuse, and dependence, (6) drug acquisition data covering the five most commonly used illicit drugs, (7) urine test results, and (8) for males, weights.
Curated
Restricted
Changing Attitudes and Motivation in Parolees (CHAMPS) Pilot Study in Dallas, Denver, and Des Moines, 2015-2016 (ICPSR 37091)
Released/updated on: 2018-09-17
Geographic coverage: Des Moines, Iowa, United States, Texas, Colorado, Denver, Dallas
Time period: 2015-04-01--2016-08-01
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 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 examined the implementation of a pilot parole-based intervention, known as the Next Generation of Parole Supervision (NG). Drs. Caleb Lloyd and Ralph Serin developed the NG model with funding from the National Institute of Justice (NIJ), and the National Institute of Corrections developed the NG curriculum for parole officers to implement. The Bureau of Justice Assistance funded the implementation of NG in three study sites: Dallas, Texas; Denver, Colorado; and Des Moines, Iowa.
This mixed-methods study focused on understanding how NG was implemented as it was piloted in the three sites, and assessed NG-trained parole officers' fidelity to the NG model. In order to better understand NG's implementation and the business as usual practices it was intended to replace, the study also included a second group of parole officers who were not trained in NG. The groups were not randomly assigned. Data collected for this study included interview data, parole officer questionnaires related to concepts of the NG curriculum, coaching logs providing measures of whether officers received coaching and its frequency, video recordings of parole supervision meetings, and parole caseload data.
Demographic variables included as part of this collection are parole officers' age and sex, and site location. The data collection includes 3 SAS data files:
- Parole officer-level data (archive_raf170831_po): Includes 31 cases and 26 variables.
- Video-level data (archive_raf170831_video): Includes 241 cases and 15 variables.
- Questionnaire-level data (archive_raf180719_tests): Includes 50 cases and 8 variables.
Curated
Pathological Gambling in Arrestee Populations in Des Moines, Iowa, and Las Vegas, Nevada, 2000-2001 (ICPSR 3499)
Released/updated on: 2003-06-05
Geographic coverage: Des Moines, Iowa, United States, Las Vegas, Nevada
Time period: 2000-01-01--2001-01-01
This study sought to examine the extent, nature, and consequences of pathological gambling disorders in arrestee populations. Five research questions were addressed: (1) What is the prevalence of pathological gambling in arrestee populations? (2) What is the profile of the pathological gambler arrested for felony and misdemeanor offenses? (3) How does the nature and level of criminal activity among pathological gamblers compare to that of non- pathological gamblers? (4) What proportion of the crime committed by offenders with pathological gambling disorders is linked to their gambling activities (either to fund gambling or pay off gambling debts)? and (5) How does substance abuse interact with pathological gambling to affect the nature and extent of criminal activity? The data for this research were collected in conjunction with the National Institute of Justice's Arrestee Drug Abuse Monitoring (ADAM) programs. Arrestees in Las Vegas, Nevada, and Des Moines, Iowa, who had completed the ADAM interview and provided a urine specimen were asked if they would be willing to answer an additional set of questions concerning their gambling behavior. Data from the ADAM interview and drug screening were merged with data collected using the gambling addendum, producing the dataset for this study. Variables from the ADAM instruments were comprised of demographic data on each arrestee, calendar of admissions to drug treatment-related programs, data on dependence and abuse, drug market and use data, and urine test results. The gambling addendum was used to collect data on five topics: (1) past-year gambling activity, (2) the use of alcohol and illegal drugs prior to and during gambling, (3) substance abuse and/or self-reported gambling problems, (4) past-year criminal activity (property, drug, and violent offending), and (5) motivations for criminal activity (gambling or non-gambling related).