Escalation Pattern Analysis identifies frequency and self-regulation issues in intimate partner violence, suggesting new intervention pathways.
Escalation Pattern Analysis (EPA) is a multidimensional risk and lethality assessment framework designed to identify early indicators of intimate partner violence (IPV) progression by analyzing behavioral trajectories instead of isolated incidents. Drawing on coercive control theory, feminist criminology, femicide timeline research, danger assessment scholarship, and behavioral threat assessment, EPA conceptualizes escalation along three core axes: Frequency, Intensity, and Inhibitory Decline. Each axis is scored on a 0 to 5 scale, enabling practitioners to detect changes in recurrence patterns, severity of harm, and the perpetrator’s diminishing self-regulation. When considered together, these dimensions reveal behavioral momentum that may indicate increasing lethality risk before statutory risk markers are present. EPA also integrates situational accelerants, including separation, police intervention, child-contact disputes, unemployment, and perceived loss of control. Research demonstrates that these events can trigger rapid and significant escalation across multiple axes, resulting in brief periods of acute danger that traditional assessment tools often overlook. By focusing on dynamic change rather than static indicators, EPA addresses key limitations of incident-based assessments, which often underestimate risk in IPV contexts. Its structured, empirically informed design improves the precision of risk identification, facilitates multi-agency communication, and enables earlier, more targeted intervention.
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Kaiser Robert (2025) studied this question.
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