There were three specific goals of this research. The first was to evaluate three procedures currently available for the classification of correctional inmates: the Risk Analysis method, Megargee's Minnesota Multiphasic Personality Inventory Typology, and Toch's Prison Preference Inventory. Second, the research devised and tested a postdictive model of adjustment to prison life. Third, a new classification scheme was developed for predicting inmate adjustment to prison life that considers individual and organizational (contextual) factors and various interactions between the two. These data were collected from a sample of 942 volunteer inmates from ten New York state correctional facilities, five of which were maximum security and five of which were medium security facilities. Only one-half of the original 942 inmates completed the MMPI. Background and questionnaire data were collected during the summer and fall of 1983. Outcome data on each inmate infraction were collected for a three-year period prior to that time. Each case in Part 1, Merged Survey Response File [PPQ, PEI, PAQ], represents survey response data from an individual inmate, with variables from the Prison Preference Questionnaire (PPQ), the Prison Environment Inventory (PEI), and the Prison Adjustment Questionnaire (PAQ). Cases in Part 2, Medical Records, are records of medical contacts and diagnoses of inmates' illnesses. Part 3, Minnesota Multiphasic Personality Inventory, contains personality assessment information and scores for each individual offender. Data in Part 4, Sample Data [Background Characteristics], consist of individual-based variables covering inmates' background characteristics. Part 5, Offenses and Disciplinary Action Records, contains records of offenses and disciplinary action by individual offender. The client number is unique and consistent across all data files.

This study sought to identify and examine current policies and strategies for controlling prison gangs and to determine the ways in which correctional facilities were dealing with gangs in their institutions. Respondents to the mail survey included 55 local jail systems and 52 state prison systems (the 50 state Departments of Corrections, the District of Columbia, and the Federal Bureau of Prisons). The survey question text used the term "security threat group" (STG), which was defined as "two or more inmates, acting together, who pose a threat to the security or safety of staff/inmates and/or are disruptive to programs and/or to the orderly management of the facility/system," rather than the generic term "gang." Data contain information on total inmate population, number of STGs, number of inmates identified as confirmed, suspected, associate, and drop-out members of STGs, total incidents of violence, number of violent incidents by STG members, management strategies to deal with gangs, and names of STGs known to be present within the system.

In partnership with the Florida Department of Corrections (FDC), this study a) collected prison administrative data to create person-level cohort-analysis files of inmates admitted to and released from Florida prisons between July 1, 2007 and December 31, 2015, b) collected stock population data of inmates incarcerated on June 30, 2011, c) examined recidivism outcomes, d) examined the effects of long-term solitary confinement on inmate behavior and mental health, and e) conducted a survey of prison personnel from November 4, 2019 to January 10, 2020, in order to conduct an analysis to address the need in public policy decision-making for evidence on the impacts of restricted housing on inmates, prisons and personnel, and public safety overall.

This study investigates the relationship between mental disorder and violent behavior. Detailed interviews were conducted with inmates in the North Carolina prison system. Each respondent was given a psychological assessment using the Diagnostic Interview Schedule, Version III. Conditions of particular interest were schizophrenia, mood disorders (depression and dysthymia), traumatic stress disorder, and alcohol disorders. The data supply information on the respondent's criminal history, psychological status at the time of interview, and history of rule infractions while incarcerated for the current offense. In addition to the psychological assessment, questions were also asked covering areas of general health status, criminal history, and drug and alcohol use. Demographic information includes age, education, marital status, and race.

The Mortality In Correctional Institutions (MCI) data collection (formerly Deaths in Custody Reporting Program (DCRP)), collects quarterly inmate death records from each of the nation's 50 state prison systems, 50 state juvenile correctional authorities, and 3,095 local jails. In addition, the program collects quarterly records of all deaths during the process of arrest by each of the nation's 17,784 state and local law enforcement agencies. These death records include information on the deceased's personal characteristics (age, gender and race/ethnicity), their criminal background (legal status, offense types, length of stay in custody), and details of the death itself (the date, time, location and cause of each death, as well as information on autopsies and medical treatment provided for illnesses/diseases).

National Prisoner Statistics (NPS) on inmates under the jurisdiction of both federal and state correctional authorities.

The main goal of this study was to construct and test a statistically based system of classifying inmates for one or more types of Substance Abuse Intervention Division (SAID) sponsored treatment programs within the New York Department of Corrections (DOC) system. The sample used for the prediction models was a sample of recent jail inmates identified as eligible for admission to SAID. DOC provided data from its Inmate Information System (IIS) database on each of the cases. Researchers collected two sets of data: one that employed only DOC data (Part 1) and another that included supplementary data from the Division of Criminal Justice Services (DCJS) and the New York City Criminal Justice Agency (CJA) (Part 2). The DOC data (Part 1) fall into four main categories: demographic characteristics, information on the current case, prior criminal record information, and SAID eligibility information. Part 2, DOC and Supplementary Data, includes all the DOC items from Part 1 along with other data collected from DCJS and the New York City CJA.