Correctional and Offender Psychology
This domain tests risk assessment, rehabilitation science and custodial management: how psychologists estimate reoffending risk and design interventions that reduce it.
Risk, need and responsivity
The RNR model (Andrews and Bonta) matches treatment intensity to risk level, targets criminogenic needs such as antisocial cognition, antisocial peers, substance misuse and impulsivity, and delivers treatment responsively to learning style, motivation, culture and ability. The Good Lives Model complements it by building prosocial goals rather than only managing deficits.
Risk assessment generations
First generation is unstructured clinical judgement; second generation is actuarial (Static-99R, VRAG-R); third generation is structured professional judgement (HCR-20v3, SVR-20v2), combining empirical factors with case formulation and scenario planning. Static factors do not change; dynamic factors do. Predictive validity decays over time and varies with base rates.
Psychopathy and treatment
PCL-R scores predict institutional disruption and recidivism at group level but are poor individual predictions; high scores do not establish untreatability. Sexual offender treatment combines offence-focused CBT and relapse prevention, with strongest support for CBT targeting criminogenic needs.
Worked example
A prisoner scores high on the PCL-R, but Static-99R is low and he has completed offence-focused CBT. A defensible formulation weights static and dynamic factors, states the base-rate limits of each instrument, and specifies supervision conditions and treatment targets rather than asserting future dangerousness.
Traps
Treating PCL-R as a risk tool by itself; confusing dynamic and static factors; assuming treatment uniformly reduces risk; and neglecting custodial suicide, self-harm and the iatrogenic effects of long isolation.