Showing 1 – 4 of 4 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
Enhancing the Research Partnership Between the Albany Police Department and the Finn Institute, 2005-2016 (ICPSR 37820)
Released/updated on: 2020-12-16
Geographic coverage: United States, New York (state), Albany (New York)
Time period: 2005-01-01--2016-01-01
The Finn Institute is an independent, not-for-profit corporation that conducts research on matters of public safety and security. The project provided for steps that would strengthen and enhance an existing police-researcher partnership, focused around analyses of proactive policing. As part of a research partnership with the Albany Police Department (APD) and the Finn Institute, this study was oriented around a basic research question: can proactive policing be conducted more efficiently, in the sense that a better ratio of high-value to lower-value stops is achieved, such that the trade-off between crime reduction and police community relations is mitigated.
Albany Resident Survey Dataset (DS1) unit of analysis was individuals. Variables include neighborhood crime and disorder, legitimacy and satisfaction with police service, and direct and vicarious experience with stop and perceptions of stops as a problem. Demographic variables include age, race, education, employment, marital status, and household count.
Management of "Smart Stops" Dataset (DS2) unit of analysis was investigatory stops; variables include records of individual stops, the month and year of the stop, whether the location of the stop was a high-crime location, whether the person stopped (or any of the persons stopped, if multiple people were stopped at one time) were high-risk, and whether the stop resulted in an arrest.
Trends in Proactive Policing Dataset (DS3) unit of analysis was APD officers. Variables include number of stops per quarter; variables include demographics such as officer characteristics such as their assignments, length of service, and gender.