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Copyright © 2012 Pearson Canada Inc. 10 -1 Chapter 10 Risk Assessment

Copyright © 2012 Pearson Canada Inc.10 -1 Chapter 10 Risk Assessment

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Page 1: Copyright © 2012 Pearson Canada Inc.10 -1 Chapter 10 Risk Assessment

Copyright © 2012 Pearson Canada Inc. 10 -1

Chapter 10

Risk Assessment

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Learning Objectives

• Define the components of risk assessment

• List what role risk assessment play in Canada

• Describe the types of correct and incorrect risk predictions

• Differentiate among static, stable, and acute dynamic risk factors

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Learning Objectives

• Describe unstructured clinical judgment, actuarial prediction, and structured professional judgment

• List the four major types of risk factors

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What is Risk Assessment?

• Risk is viewed as a range (Steadman, 2000)– Probabilities change across time– Interaction among offender

characteristics and situation• Risk assessment has 2 components:

– Prediction– Management

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Risk Assessments: Civil Settings

• Civil commitment

• Child protection

• Immigration laws

• School and labour regulations

• Duty to warn

• Limits of confidentiality

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Risk Assessments: Criminal Settings

• Risk assessments conducted at major decision points:– Pretrial– Sentencing– Release

• Public safety outweighs solicitor-client privilege (Smith v. Jones, 1999)

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Types of Prediction Outcomes

• True Positive • True Negative• False Positive • False Negative

– Two types of errors are dependent on each other

– Each outcome has different consequences for offender or society

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Predictions: Decisions Versus Outcomes

DECISIONReoffends Does not

reoffend

Predicted to reoffend

True positive

(correct)

False positive

(incorrect)

Predicted to not reoffend

False negative

(incorrect)

True negative (correct)

OUTCOME

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History of Risk Assessment

• 1960’s– Baxstrom v. Herald (1966)– Dixon v. Attorney General of the

Commonwealth of Pennsylvania (1971)

• Baxstrom and Dixon studies– Base rate for violence low– False positive rate high

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Base Rates

• Represents the % of people within a given population who commit a criminal or violent act– Prediction difficult when base rates are

too high or low– False positives tend to occur with low

base rates• Easier to predict frequent vs. infrequent

events

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Methodological Issues

• Assumptions of risk assessment and measurement– Ideal evaluation vs. reality

• Three weaknesses of research (Monahan & Steadman, 1994):– Limited number of risk factors– How criterion variable is measured– How criterion variable is defined

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Judgment Error and Biases

• Heuristics

• Illusory correlation

• Ignore base rates

• Reliance on salient or unique cues

• Overconfidence in judgements

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Unstructured Clinical Judgment

• Decisions characterized by professional discretion and lack of guidelines

• Subjective

• No specific risk factors

• No rules about how risk decisions should be made

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Dr. James Grigson

• Nicknamed “Dr. Death” or “the hanging shrink”

• Forensic psychiatrist in Dallas– Used unstructured clinical judgment– Expelled from professional association

for claims of 100% accuracy in predicting violence

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Actuarial Prediction

• Decisions based on risk factors that are selected and combined based on empirical or statistical evidence

• Most actuarial risk instruments include only static risk factors

• Evidence favours actuarial assessments over unstructured clinical judgment

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Structured Professional Judgment

• Decisions guided by predetermined list of risk factors derived from research literature

• Judgment of risk level is based on professional judgement

• Diverse group of professionals

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Risk Factor: Definition

• Risk Factor – measurable feature of an individual that predicts the behaviour of interest (e.g., criminal behaviour or violence)

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Types of Predictors

• Static Risk Factors– Historical– Factors that cannot be changed

• Dynamic Risk Factors – Fluctuate over time– Factors that can be changed– Acute vs. stable dynamic risk factors

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Important Risk Factors

• Dispositional

• Historical

• Clinical

• Contextual

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Dispositional Risk Factors

• Demographics– Age– Gender

• Personality characteristics– Impulsivity– Psychopathy

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Historical Risk Factors

• Past antisocial behaviour

• Age of onset of antisocial behaviour

• Childhood history of maltreatment

• Past supervision failure, escape, or institution maladjustment

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Clinical Risk Factors

• Substance use

• Mental disorder– Diagnosis of schizophrenia or affective

disorders– “Threat/control override” (TCO)

symptoms

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Contextual Risk Factors

• Lack of social support to help individual in his or her day-to-day life

• Easy access to weapons

• Easy access to victims

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Risk Assessment Instruments

• Actuarial Instruments– Violence Risk Appraisal Guide (VRAG;

Harris et al., 1993)– Static-99(Hanson & Thornton, 1999)

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Risk Assessment Instruments (continued)

• Structured Professional Judgment Instruments– HCR-20 (Webster et al., 1997)– Violence Risk Scale (VRS; Wong &

Gordon, 2006)– Spousal Assault Risk Assessment

(SARA; Kropp et al., 1999)

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Current Issues

• Where is the theory?– More attention on WHY is needed

• Protective factors– Factors that reduce or mitigate the

likelihood of violence

• Limitations of risk assessments

• Use of scientific research– Practitioners not using instruments

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Coping-Relapse Model of Criminal Recidivism (Figure 10.1; Zamble &

Quinsey, 1997)

Precipitating Event

Cognitive & Emotional Appraisal

Response MechanismIndividual Influences

Criminal Behaviour

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Female Offenders and Crime

• Gender differences in criminality

– Women engage in less crime

– Women reoffend at lower rates

– Childhood victimization more prevalent

– Mental disorders more prevalent

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Female Offenders and Risk

• More similarities in risk factors for men and women than differences

• Gender-specific risk factors– History of self-injury– Poor self-esteem

• How well do risk assessment instruments developed with male offenders work with female offenders?– LSI-R has predictive validity

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Desistance From Crime

• Desistance: process of ceasing to engage in criminal behaviour

• Little research on why offenders stop committing crime

• Factors relating to desistance:– Age– Employment– Marital relationships