Crime script analysis of intimate partner violence: Using cluster analysis to identify diversity within scripts
Christine Carney1, Professor Mark Kebbell1, Dr Li Eriksson1, Regan Carr2
2Queensland Police Service
Purpose: This paper applies crime script analysis to intimate partner violence incidents and demonstrates the importance of examining diversity within such incidents by identifying variables that are significantly associated with different script tracks. The paper discusses implications for situational crime prevention and the use of mixed methods for strengthening the crime script analysis approach. Method: Using a mixed method approach, qualitative thematic analysis was conducted using official police administrative data from Queensland, Australia to develop an intimate partner violence protoscript (n=40), followed by quantitative hierarchical cluster analysis and cross tabulations to examine diversity within scripts. Bonferroni’s Post-Hoc test was then used to identify significant differences between clusters. Results: Four script tracks were identified in the data highlighting diversity not only in the behaviour of offenders but also in the ways in which victims respond to violence. Although similarities were evident across all clusters, clusters differed on several variables. Conclusion: Diversity exists within intimate partner violence incidents with divisions based on several statistically significant variables. Identifying diversity evident across script tracks supports greater understanding of the types of situational crime prevention measures required at an individual level. Crime script analysis can be strengthened through the use of mixed methods such as qualitative thematic analysis and cluster analyses.
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