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Techniques for Assessing the Accuracy of Recidivism Prediction Scales, 1960-1980: [Miami, Albuquerque, New York City, Alameda and Los Angeles Counties, and the State of California]

Metadata Updated: November 28, 2023

The purpose of this data collection was to measure the validity or accuracy of four recidivism prediction instruments: the INSLAW, RAND, SFS81, and CGR scales. These scales estimate the probability that criminals will commit subsequent crimes quickly, that individuals will commit crime frequently, that inmates who are eligible for release on parole will commit subsequent crimes, and that defendants awaiting trial will commit crimes while on pretrial arrest or detention. The investigators used longitudinal data from five existing independent studies to assess the validity of the four predictive measures in question. The first data file was originally collected by the Vera Institute of Justice in New York City and was derived from an experimental evaluation of a jobs training program called the Alternative Youth Employment Strategies Project implemented in Albuquerque, New Mexico, Miami, Florida, and New York City, New York. The second file contains data from a RAND Corporation study, EFFECTS OF PRISON VERSUS PROBATION IN CALIFORNIA, 1980-1982 (ICPSR 8700), from offenders in Alameda and Los Angeles counties, California. Parts 3 through 5 pertain to serious juvenile offenders who were incarcerated during the 1960s and 1970s in three institutions of the California Youth Authority. A portion of the original data for these parts was taken from EARLY IDENTIFICATION OF THE CHRONIC OFFENDER, [1978-1980: CALIFORNIA] (ICPSR 8226). All files present demographic and socioeconomic variables such as birth information, race and ethnicity, education background, work and military experience, and criminal history, including involvement in criminal activities, drug addiction, and incarceration episodes. From the variables in each data file, standard variables across all data files were constructed. Constructed variables included those on background (such as drug use, arrest, conviction, employment, and education history), which were used to construct the four predictive scales, and follow-up variables concerning arrest and incarceration history. Scores on the four predictive scales were estimated.

Access & Use Information

Public: This dataset is intended for public access and use. License: us-pd

Downloads & Resources

Dates

Metadata Created Date August 18, 2021
Metadata Updated Date November 28, 2023

Metadata Source

Harvested from DOJ JSON

Additional Metadata

Resource Type Dataset
Metadata Created Date August 18, 2021
Metadata Updated Date November 28, 2023
Publisher National Institute of Justice
Maintainer
Identifier 3511
Data First Published 1993-10-02T00:00:00
Language eng
Data Last Modified 2006-01-18T00:00:00
Public Access Level public
Bureau Code 011:21
Metadata Context https://project-open-data.cio.gov/v1.1/schema/catalog.jsonld
Metadata Catalog ID https://www.justice.gov/data.json
Schema Version https://project-open-data.cio.gov/v1.1/schema
Catalog Describedby https://project-open-data.cio.gov/v1.1/schema/catalog.json
Harvest Object Id bf27a0d3-4901-45a4-92ab-052f5d48a688
Harvest Source Id 3290e90a-116f-42fc-86ac-e65521ef3b68
Harvest Source Title DOJ JSON
License http://www.usa.gov/publicdomain/label/1.0/
Program Code 011:060
Publisher Hierarchy Office of Justice Programs > National Institute of Justice
Source Datajson Identifier True
Source Hash 94317343ba654d178e2b5602d802a984ef067b52a941c1a4fada630817f8a786
Source Schema Version 1.1

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