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Risk Assessment




                  12 - 1
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


                                         12 - 2
Risk Assessments: Civil Settings
 Civil commitment
 Child protection
 Immigration laws
 School and labour regulations
 Duty to warn & limits of confidentiality
     W. v. Egdell (1990) (UK)
     Tarasoff case (1974) (US)



                                             12 - 3
Risk Assessments: Criminal
Settings
   Risk assessments conducted at major
    decision points:
        Pretrial
        Sentencing

        Release

   Public safety outweighs solicitor-client
    privilege
     Smith   v. Jones


                                               12 - 4
Predictions:
Decisions Versus Outcomes
                        OUTCOME
                Reoffends      Does not
DECISION                       reoffend
Predicted to   True positive False positive
reoffend         (correct)    (incorrect)
Predicted to False negative   True negative
not reoffend  (incorrect)       (correct)

                                              5
Base Rates
 Represents the % of people within a
  given population who commit a criminal
  or violent act
    Accurate 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
                                              12 - 6
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


                                            12 - 7
Other Methodological Challenges

 Measuring   recidivism
   1.   Problems with outcome measures
   2.   Length of outcome period
   3.   Categories of offenders



                                         8
Judgment Error and Biases
   Heuristics
     Illusorycorrelation
     Ignore base rates
     Reliance on salient or unique cues

 Overconfidence in judgements
 Role of gender




                                           12 - 9
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



                                             12 - 10
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


                                           12 - 11
Measuring Accuracy of
 Dangerousness Predictions

                                           Ultimate Outcome
Clinician’s predictions   Homicide                 No Homicide
Homicide                  8 (True Positives)       1,998 (False Positives)
No Homicide               2 (False Negatives)      7,992 (True negatives)




                                                                      12 - 12
Actuarial Prediction
 Decisions based on risk factors that are
  selected and combined based on empirical
  or statistical evidence
 Evidence favours actuarial assessments
  over unstructured clinical judgment




                                             12 - 13
Static-99-R – An Actuarial
Measure
 young
 have not lived with a lover for 2+ years
 index-non-sexual violence
 previous nonsexual violence
 number of previous sentencing dates
 previous sexual offences
 physical harm to victim during sex offence(s), or use of weapon or
 threats
 any non-contact sex offences
 any unrelated victims
 any stranger victims
 any male victims

                                                                      14 14
Actuarial vs. Clinical Judgment
Source          # of      Variables Predicted          Clinical   Statistical     Tie
                studies                                Better     Better
Grove et al.    136       Success in                   8          63              65
(2000)                    school/military;
                          recidivism; recovery from
                          psychosis; personality; tx
                          outcome; dx; job success
                          and satisfaction; medical
                          dx; marital satisfaction


Ægisdóttir et   51        Brain impairment;            5          25              18
al. (2006)                personality; length of
                          stay; dx; adjustment or
                          prognosis; violence; IQ;
                          academic performance;
                          suicide risk; sexual
                          orientation; MMPI – real
                          or fake
                                                                                12 - 15
Structured Professional Judgment
 Decisions guided by predetermined list of
  risk factors derived from research
  literature
 Judgement of risk level is based on
  professional judgement
 Diverse group of professionals




                                              12 - 16
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



                                             12 - 17
Important Risk Factors

 Dispositional
 Historical
 Clinical
 Contextual




                         12 - 18
HCR-20
   Historical items
     1.  Previous violence
     2. Young age at first violent incident
     3. Relationship instability
     4. Employment problems
     5. Substance use problems
     6. Major mental illness
     7. Psychopathy
     8. Early maladjustment
     9. Personality disorder
     10. Prior supervision failure
                                              19 19
HCR-20
   Clinical items
     1. Lack of insight
     2. Negative attitudes
     3. Active symptoms of major mental illness
     4. Impulsivity
     5. Unresponsive to treatment




                                                  20 20
HCR-20
   Risk management items
     1. Plans lack feasibility
     2. Exposure to destabilizers
     3. Lack of personal support
     4. Noncompliance with remediation attempts
     5. Stress




                                                  21 21
Current Issues
 Protective factors
    Factors that reduce or mitigate the
     likelihood of violence
 Use of scientific research
    Practitioners not using instruments

 Where is the theory?
    More attention on WHY is needed



                                           12 - 22

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Forensic Psychology: Risk Assessment

  • 2. 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 12 - 2
  • 3. Risk Assessments: Civil Settings  Civil commitment  Child protection  Immigration laws  School and labour regulations  Duty to warn & limits of confidentiality  W. v. Egdell (1990) (UK)  Tarasoff case (1974) (US) 12 - 3
  • 4. Risk Assessments: Criminal Settings  Risk assessments conducted at major decision points:  Pretrial  Sentencing  Release  Public safety outweighs solicitor-client privilege  Smith v. Jones 12 - 4
  • 5. Predictions: Decisions Versus Outcomes OUTCOME Reoffends Does not DECISION reoffend Predicted to True positive False positive reoffend (correct) (incorrect) Predicted to False negative True negative not reoffend (incorrect) (correct) 5
  • 6. Base Rates  Represents the % of people within a given population who commit a criminal or violent act  Accurate 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 12 - 6
  • 7. 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 12 - 7
  • 8. Other Methodological Challenges  Measuring recidivism 1. Problems with outcome measures 2. Length of outcome period 3. Categories of offenders 8
  • 9. Judgment Error and Biases  Heuristics  Illusorycorrelation  Ignore base rates  Reliance on salient or unique cues  Overconfidence in judgements  Role of gender 12 - 9
  • 10. 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 12 - 10
  • 11. 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 12 - 11
  • 12. Measuring Accuracy of Dangerousness Predictions Ultimate Outcome Clinician’s predictions Homicide No Homicide Homicide 8 (True Positives) 1,998 (False Positives) No Homicide 2 (False Negatives) 7,992 (True negatives) 12 - 12
  • 13. Actuarial Prediction  Decisions based on risk factors that are selected and combined based on empirical or statistical evidence  Evidence favours actuarial assessments over unstructured clinical judgment 12 - 13
  • 14. Static-99-R – An Actuarial Measure young have not lived with a lover for 2+ years index-non-sexual violence previous nonsexual violence number of previous sentencing dates previous sexual offences physical harm to victim during sex offence(s), or use of weapon or threats any non-contact sex offences any unrelated victims any stranger victims any male victims 14 14
  • 15. Actuarial vs. Clinical Judgment Source # of Variables Predicted Clinical Statistical Tie studies Better Better Grove et al. 136 Success in 8 63 65 (2000) school/military; recidivism; recovery from psychosis; personality; tx outcome; dx; job success and satisfaction; medical dx; marital satisfaction Ægisdóttir et 51 Brain impairment; 5 25 18 al. (2006) personality; length of stay; dx; adjustment or prognosis; violence; IQ; academic performance; suicide risk; sexual orientation; MMPI – real or fake 12 - 15
  • 16. Structured Professional Judgment  Decisions guided by predetermined list of risk factors derived from research literature  Judgement of risk level is based on professional judgement  Diverse group of professionals 12 - 16
  • 17. 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 12 - 17
  • 18. Important Risk Factors  Dispositional  Historical  Clinical  Contextual 12 - 18
  • 19. HCR-20  Historical items 1. Previous violence 2. Young age at first violent incident 3. Relationship instability 4. Employment problems 5. Substance use problems 6. Major mental illness 7. Psychopathy 8. Early maladjustment 9. Personality disorder 10. Prior supervision failure 19 19
  • 20. HCR-20  Clinical items 1. Lack of insight 2. Negative attitudes 3. Active symptoms of major mental illness 4. Impulsivity 5. Unresponsive to treatment 20 20
  • 21. HCR-20  Risk management items 1. Plans lack feasibility 2. Exposure to destabilizers 3. Lack of personal support 4. Noncompliance with remediation attempts 5. Stress 21 21
  • 22. Current Issues  Protective factors  Factors that reduce or mitigate the likelihood of violence  Use of scientific research  Practitioners not using instruments  Where is the theory?  More attention on WHY is needed 12 - 22