Patterns of Crime in a Birth Cohort

Linda M. Collins; Norman Cliff; Robert A. Cudeck; Douglas J. McCormick; Judith L. Zatkin

doi:10.1207/s15327906mbr1803_1

Patterns of Crime in a Birth Cohort

Linda M. Collins
, Norman Cliff
, Robert A. Cudeck
, Douglas J. McCormick
, Judith L. Zatkin

Penn State Clinical and Translational Science Institute (CTSI)

Research output: Contribution to journal › Article › peer-review

3 Scopus citations

Abstract

Most attempts at developing typologies of criminal behavior have not involved empirical research. This paper describes an exploratory empirical approach to identifying patterns in criminal behavior. Two data-reduction techniques, factor analysis and cluster analysis, are applied to the official arrest records of a Danish birth cohort of 28,879 men. Four factors emerged from the factor analysis: GENERAL CRIME, TRAFFIC OFFENSES, WHITE-COLLAR CRIME, and SEX OFFENSES. The cluster analysis revealed GENERAL CRIME and TRAFFIC OFFENSES clusters. A substantial number of offenses are shown by both analyses to be independent of any pattern. The results show good split-sample cross-validation and for the most part are robust across the two analytic approaches.

Original language	English (US)
Pages (from-to)	235-257
Number of pages	23
Journal	Multivariate Behavioral Research
Volume	18
Issue number	3
DOIs	https://doi.org/10.1207/s15327906mbr1803_1
State	Published - Jan 7 1983

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 16 Peace, Justice and Strong Institutions

All Science Journal Classification (ASJC) codes

Statistics and Probability
Experimental and Cognitive Psychology
Arts and Humanities (miscellaneous)

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10.1207/s15327906mbr1803_1

Cite this

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title = "Patterns of Crime in a Birth Cohort",

abstract = "Most attempts at developing typologies of criminal behavior have not involved empirical research. This paper describes an exploratory empirical approach to identifying patterns in criminal behavior. Two data-reduction techniques, factor analysis and cluster analysis, are applied to the official arrest records of a Danish birth cohort of 28,879 men. Four factors emerged from the factor analysis: GENERAL CRIME, TRAFFIC OFFENSES, WHITE-COLLAR CRIME, and SEX OFFENSES. The cluster analysis revealed GENERAL CRIME and TRAFFIC OFFENSES clusters. A substantial number of offenses are shown by both analyses to be independent of any pattern. The results show good split-sample cross-validation and for the most part are robust across the two analytic approaches.",

author = "Collins, \{Linda M.\} and Norman Cliff and Cudeck, \{Robert A.\} and McCormick, \{Douglas J.\} and Zatkin, \{Judith L.\}",

note = "Funding Information: for allowing them access to the data. Dr. M. Klein made very helpful comments on an earlier version of this paper. The research reported here was supported by National Institute of Justice grant \#79-NI-AX-0065.",

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doi = "10.1207/s15327906mbr1803\_1",

language = "English (US)",

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AU - Collins, Linda M.

AU - Cliff, Norman

AU - Cudeck, Robert A.

AU - McCormick, Douglas J.

AU - Zatkin, Judith L.

N1 - Funding Information: for allowing them access to the data. Dr. M. Klein made very helpful comments on an earlier version of this paper. The research reported here was supported by National Institute of Justice grant #79-NI-AX-0065.

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Y1 - 1983/1/7

N2 - Most attempts at developing typologies of criminal behavior have not involved empirical research. This paper describes an exploratory empirical approach to identifying patterns in criminal behavior. Two data-reduction techniques, factor analysis and cluster analysis, are applied to the official arrest records of a Danish birth cohort of 28,879 men. Four factors emerged from the factor analysis: GENERAL CRIME, TRAFFIC OFFENSES, WHITE-COLLAR CRIME, and SEX OFFENSES. The cluster analysis revealed GENERAL CRIME and TRAFFIC OFFENSES clusters. A substantial number of offenses are shown by both analyses to be independent of any pattern. The results show good split-sample cross-validation and for the most part are robust across the two analytic approaches.

AB - Most attempts at developing typologies of criminal behavior have not involved empirical research. This paper describes an exploratory empirical approach to identifying patterns in criminal behavior. Two data-reduction techniques, factor analysis and cluster analysis, are applied to the official arrest records of a Danish birth cohort of 28,879 men. Four factors emerged from the factor analysis: GENERAL CRIME, TRAFFIC OFFENSES, WHITE-COLLAR CRIME, and SEX OFFENSES. The cluster analysis revealed GENERAL CRIME and TRAFFIC OFFENSES clusters. A substantial number of offenses are shown by both analyses to be independent of any pattern. The results show good split-sample cross-validation and for the most part are robust across the two analytic approaches.

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ER -

Patterns of Crime in a Birth Cohort

Abstract

UN SDGs

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