Improving Correctional Classification, New York, 1981-1983 (ICPSR 8437)

Version Date: Mar 30, 2006

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Principal Investigator(s):
Kevin Wright

https://doi.org/10.3886/ICPSR08437.v1

Version V1

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Summary

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.

Citation

Wright, Kevin. Improving Correctional Classification, New York, 1981-1983. [distributor], 2006-03-30. https://doi.org/10.3886/ICPSR08437.v1

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Funding

United States Department of Justice. Office of Justice Programs. National Institute of Justice (83-IJ-CX-0011)

Subject Terms

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Time Period(s)

1981 -- 1983

Date of Collection

1981 -- 1983

Data Collection Notes

  1. The codebook for this collection is provided as a Portable Document Format (PDF) file. The PDF file format was developed by Adobe Systems Incorporated and can be accessed using PDF reader software, such as the Adobe Acrobat Reader. Information on how to obtain a copy of the Acrobat Reader is provided through the ICPSR Website on the Internet.

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Universe

Volunteer inmates from New York state correctional facilities.

Data Source

personal interviews

Data Type(s)

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Original Release Date

1985-10-09

Version History

2018-02-15 The citation of this study may have changed due to the new version control system that has been implemented. The previous citation was:
  • Wright, Kevin. IMPROVING CORRECTIONAL CLASSIFICATION, NEW YORK, 1981-1983. ICPSR version. Binghamton, NY: State University of New York [producer], 1984. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 1999. http://doi.org/10.3886/ICPSR08437.v1

2006-03-30 File CB8437.ALL.PDF was removed from any previous datasets and flagged as a study-level file, so that it will accompany all downloads.

2005-11-04 On 2005-03-14 new files were added to one or more datasets. These files included additional setup files as well as one or more of the following: SAS program, SAS transport, SPSS portable, and Stata system files. The metadata record was revised 2005-11-04 to reflect these additions.

1999-06-16 SPSS data definition statements have been added to this collection, and the codebook is now available as a PDF file.

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Notes

  • The public-use data files in this collection are available for access by the general public. Access does not require affiliation with an ICPSR member institution.