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metadata language: English

Autobiographical Accounts of Property Offenses by Youths at UCLA, 1983-1984

Resource Type
Dataset : text
  • Katz, Jack
Other Title
  • Version 1 (Subtitle)
Publication Date
Free Keywords
property crimes; shoplifting; students; universities; vandalism; youths
  • Abstract

    These data examine the attraction of shoplifting and vandalism to nonprofessional offenders. The data consists of actual autobiographical accounts of offenses committed by undergraduates enrolled in three sections of undergraduate criminology classes at the University of California, Los Angeles. Verbatim answers of the respondents are presented.
  • Table of Contents


    • DS1: Dataset
Temporal Coverage
  • 1983 / 1984
    Time period: 1983--1984
  • 1983 / 1984
    Collection date: 1983--1984
Geographic Coverage
  • California
  • United States
Sampled Universe
Undergraduate university students in the United States.
The sample consisted of 250 students in three offerings of an undergraduate criminology class.
Collection Mode
  • This dataset is a machine-readable text file. For reasons of confidentiality names have been blanked from the data and replaced with spaces. Profanity has also been blanked and replaced with spaces. The number of records per case in this file varies from nine to 70 depending on the length of statement given by each respondent.

This study is freely available to the general public via web download.
Alternative Identifiers
  • 8950 (Type: ICPSR Study Number)
  • McCarthy, Bill. Not just 'for the thrill of it': An instrumentalist elaboration of Katz's explanation of sneaky thrill property crimes. Criminology.33, (4), 519 -1995.
    • ID: 10.1111/j.1745-9125.1995.tb01188.x (DOI)
  • Katz, Jack. Seductions of Crime: Moral and Sensual Attractions in Doing Evil. New York: Basic Books. 1988.

Update Metadata: 2015-08-05 | Issue Number: 6 | Registration Date: 2015-06-15

Katz, Jack (1989): Autobiographical Accounts of Property Offenses by Youths at UCLA, 1983-1984. Version 1. Version: v1. ICPSR - Interuniversity Consortium for Political and Social Research. Dataset.