The empirical clustering of crimes

Despite wide use among researchers and law enforcement, crime classification structures have received little empirical study to validate their theoretical models. Specifically, few studies have examined the empirical structure of crime categories across a large range of offenses to examine adherence to traditional classification systems (e.g., violent vs. non-violent; crimes against persons, property, and society). This study first identified how crimes clustered together empirically in a sample of Florida jail inmates (Aim 1; N = 832, 68% men, 72% White, 83% non-Hispanic) and then tested the replicability of that grouping in a second sample of justice-involved individuals in Illinois (Aim 2; N = 794, 62% men, 51% Black, 96% non-Hispanic). The psychological and behavioral correlates of the factors were then explored (Aim 3). Results from exploratory factor analysis in Sample 1 and exploratory structural equation modeling in Sample 2 indicated a 4-factor structure best fit the data, supporting and expanding the Uniform Crime Report/National Incident-Based Reporting System 3-factor model (i.e., crimes against persons, property, and society). Property and societal crime factors were highly replicable across samples; two factors related to violent crimes were present in both samples but differed in their composition, suggesting the need for more research to understand violent crime heterogeneity. Correlations between the crime factors and external criteria indicated mixed support for the construct coherence of the factors. Most consistently, all crime factors were related to callous unemotional, impulsive, and aggressive traits across samples, suggesting that these characteristics offer little discriminatory ability in understanding criminal behavior. • Crime classification systems need empirical validation for theoretical models. • Factors tested through EFA, CFA, and ESEM, and correlations for construct validity. • Two justice-involved samples used to explore validity and reliability. • A 4-factor structure best fit, supporting and expanding the UCR/NIBRS system. • Property and societal factors were highly replicable, but violent crimes were not.

Authors

Institutions

Publication Details

Journal
Journal of Criminal Justice
Published
2025-10-03
DOI
https://doi.org/10.1016/j.jcrimjus.2025.102526
Primary Topic
Crime Patterns and Interventions
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The empirical clustering of crimes

Bryanna Fox, Edelyn Verona, Haomin Chen, Alora McCarthy
Journal of Criminal Justice
Crime Patterns and Interventions
article

The empirical clustering of crimes

Bryanna Fox, Edelyn Verona, Haomin Chen, Alora McCarthy
article en

Abstract

Despite wide use among researchers and law enforcement, crime classification structures have received little empirical study to validate their theoretical models. Specifically, few studies have examined the empirical structure of crime categories across a large range of offenses to examine adherence to traditional classification systems (e.g., violent vs. non-violent; crimes against persons, property, and society). This study first identified how crimes clustered together empirically in a sample of Florida jail inmates (Aim 1; N = 832, 68% men, 72% White, 83% non-Hispanic) and then tested the replicability of that grouping in a second sample of justice-involved individuals in Illinois (Aim 2; N = 794, 62% men, 51% Black, 96% non-Hispanic). The psychological and behavioral correlates of the factors were then explored (Aim 3). Results from exploratory factor analysis in Sample 1 and exploratory structural equation modeling in Sample 2 indicated a 4-factor structure best fit the data, supporting and expanding the Uniform Crime Report/National Incident-Based Reporting System 3-factor model (i.e., crimes against persons, property, and society). Property and societal crime factors were highly replicable across samples; two factors related to violent crimes were present in both samples but differed in their composition, suggesting the need for more research to understand violent crime heterogeneity. Correlations between the crime factors and external criteria indicated mixed support for the construct coherence of the factors. Most consistently, all crime factors were related to callous unemotional, impulsive, and aggressive traits across samples, suggesting that these characteristics offer little discriminatory ability in understanding criminal behavior. • Crime classification systems need empirical validation for theoretical models. • Factors tested through EFA, CFA, and ESEM, and correlations for construct validity. • Two justice-involved samples used to explore validity and reliability. • A 4-factor structure best fit, supporting and expanding the UCR/NIBRS system. • Property and societal factors were highly replicable, but violent crimes were not.

Journal of Criminal JusticeVol. 101
University of South Florida (US)
Openalex Percentile: Top 64%
Crime Patterns and Interventions
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.