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Clinical vs' Actuarial Assessments

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Title: Clinical vs' Actuarial Assessments


1
Clinical vs. Actuarial Assessments
  • MSc Applied Forensic
  • Psychology
  • Gareth Norris
  • 23rd January, 2006

2
Contradictions in Psychology
  • Nature vs. Nurture
  • Psychodynamic vs. Cognitive
  • Qualitative vs. Quantitative
  • (Positivist vs. Classicist Criminology)

3
Types of Assessment
  • Assessment can be for one or more purposes
  • Treatment
  • Recidivism
  • Dangerousness/Risk

4
What is risk assessment?
  • The Tarasoff case from California in the 1970s
    meant that clinicians became duty bound to inform
    third parties of danger
  • Predictions of dangerousness have become
    commonplace and seek to balance individuals
    rights to liberty with those of societies
    protection from harm
  • The potential for harm often means that offenders
    may be detained in the CJS for longer than they
    deserve

5
Recent Example
  • Damien Hanson convicted of the murder of banker
    John Monckton in 2004
  • Granted parole after 7 years of a 12-year
    sentence (three months prior to offence)
  • Assessment had shown him to be at a high risk -
    75 or over - of re-offending (91)
  • Only monitored by parole board on release
    should have been multi-agency.

6
Clinical Judgment
  • Use primarily interviews and case files to
    establish behaviour
  • Rely almost exclusively upon the experience and
    judgment of the practitioner
  • Can be very subjective
  • More than one method

7
Linear Model
  • Uses a decision tree to determine risk (from
    Gross et al., 1987)
  • Is there a clear and realisable threat?
  • Is there serious danger?
  • A specific victim?
  • Imminent danger?
  • Threat to public official, i.e. not
    family/friends?
  • Outcome - Clinician should contact police.

8
Hypothetico-deductive model
  • Knowledge of previous behaviour guides
    hypothesis building and testing using theory
    (Gross et al., 1987). Combines clinical skill and
    experience to assess importance of
  • Previous behaviour in case history e.g. anger
  • Observations of others
  • Community risk
  • Assessment of current psychological state

9
Multi-dimensional Models (e.g. Gottfredson
Gottfredson, 1988)
  • In practice, clinical and actuarial methods are
    often used interchangeably. Clinical judgements
    may be quantified and form part of a statistical
    predictor and the latter be only one element in
    clinical decision making.

10
Problems with diagnoses
  • Clinicians have been shown bias in many studies
    (e.g. Quinsey and Abtam, 1979 teachers
    psychiatrists also Motandon Harding, 1984)
  • Clinicians ability to judge behaviours little
    more than chance
  • Actuarial predictions perform better, but still
    overestimate dangerousness
  • Also question of whether expert testimony has any
    reliability the hired gun and litigation

11
John Monahan University of Virginia
  • When it comes to predicting violence, our
    crystal balls are terribly cloudy (Rosenthal,
    1993, p.1)

12
Fooling the professionals
  • Rosenhan (1973) tested the ability of
    psychiatrists to judge normal and insane
    behaviours
  • Three psychologists, a psychiatrist, a student, a
    painter, a doctor and housewife all faked
    symptoms
  • Seven diagnosed with schizophrenia and one as
    manic depressive
  • Only other patients recognised them as normal
    after an average 19 day stay!

13
Actuarial or Statistical Assessment
  • Uses a database of predictor variables which
    show a relationship with re-offending variables
  • Statistical tests and personality inventories
  • Main premise concerns the comparison of the
    current offender with previous, similar offenders
  • These predictors can be historical, personality
    and clinically based

14
Use of structured tests
  • There are now literally hundreds of predictive
    tests which seek to establish risk of
    dangerousness and re-offending
  • Psychopathy Checklist (PCL PCL-R)
  • MMPI especially extroversion and impulsivity
  • Intelligence tests

15
Reasons for lack of use
  • Despite the apparent increased capacity of tests,
    there is a general mistrust by CJS
  • Correlations between likelihood of behaviour and
    actual behaviour can be low, or only as much as
    .4
  • Best predictor of violence, is usually a past
    history of violence

16
Top Twenty Predictor Variables (Douglas
Webster, 1999)
  • Static Predictors
  • A history of prior violence
  • Younger age at first offence
  • History of relationship instability/hostility
  • History of employment instability
  • Alcohol and drug abuse
  • Major mental disorder (e.g. schizophrenia)

17
Predictor Variables (cont.)
  • Diagnoses of psychopathy or ASPD
  • Early maladjustment at home or school
  • Diagnoses of any personality disorder
  • History of absconding from custody
  • Dynamic Predictors
  • Lack of insight into own personality and/or
    misunderstanding of intentions of others
  • Tendency to be angry and hostile

18
Predictor Variables (cont.)
  • Experiencing psychotic symptoms
  • Tendency for impulsiveness
  • Resistance to psychiatric treatment
  • Risk Management Predictors
  • Lack of adequate supervision
  • Access to victims, weapons and alcohol/drugs
  • Lack of social support and living resources

19
Predictor Variables (cont.)
  • Non-compliance with medication
  • Excessive stress in family, employment and peers
  • Many risk assessment inventories have been based
    on these predictors, e.g. HCR-20 (meaning 20
    Historical, Clinical, Risk) by Webster et al.,
    1997) and the VPS (Violence Prediction Scheme by
    Webster et al. 1994)

20
Predictive efficiency
  • Risk assessment can be judged by a range of
    possible outcomes
  • A true positive is when the predictor variable
    accurately forecasts the outcome
  • Similarly, a true negative occurs when the
    absence of a predictor corresponds to the absence
    of recidivism
  • False positives negatives are erroneous
    judgments with opposing consequences

21
  • The accuracy equation (ad/N) shows the
    correctness of the predictor a desirable
    predictor is one that maximises correct hits (a
    d) and minimises error or misses (b c)

Criterion -
False Positive b
True Positive a
Predictor -
c False Negative
d True Negative
22
Consequences of Error
  • A high false negative rate means that many
    dangerous offenders will be released into society
  • A high false positive rate means the opposite
    many people will be detained despite being at a
    low or no risk of re-offending

23
Which predictor is best?
  • Many predictors are employed in risk
    assessments. The efficiency of this variable at
    determining future events is its ability to do
    this above chance. This is defined by its
    correlation with the predictor variable and its
    base rate. A base rate is the occurrence of this
    criterion in any given population.

24
Different populations have different base rates,
hence any predictor variable will need to improve
this beyond chance
Criterion -
Base rate 50 Predictor present in 40 of 50
recidivists and absent in 40 of 50 non-recidivists
40 (80 of 50) a
10 (20 of 50) b
Predictor -
c 10 (20 of 50)
50
d 40 (80 of 50) 50
N100
25
Base rate 90
Criterion -
72 (80 of 90) a
2 (20 of 10) b
Predictor -
c 18 (20 of 90)
90
d 8 (80 of 10) 10
N100
26
Base rate 10
Criterion -
8 (80 of 10) a
18 (20 of 90) b
Predictor -
c 2 (20 of 10) 10
d 72 (80 of 90) 90
N100
27
Common errors made in predicting dangerousness
(Hall, 1987)
  • Failure to recognize dangerousness as salient
    feature of assessment
  • Inadequate forensic database(s)
  • Distortions by the clinician
  • Predicting dangerousness in the absence of
    previous dangerousness
  • Accepting illusionary correlation

28
Problems Cont.
  • Predicting from clinical diagnosis
  • Not accounting for triggering stimuli
  • Not considering opportunity
  • Not assessing inhibitory variables e.g. age
  • Ignoring base rates
  • Vague conclusions
  • Failure to consider disconfirmatory evidence

29
Improving Risk Assessment
  • Reliability can be improved by averaging over
    judges
  • Reducing cognitive bias by training not relying
    on intuition
  • Use of decision aids objective reporting of
    clinical judgments statistically
  • Appreciating the limitations
  • Risk assessment is context specific (see over)

30
Clinical or Statistical?
Assessing risk of dangerousness or re-offending?
Risk/danger to whom staff, public, self
Context of risk Community, prison etc.
Time scale Short to long
Drug dependency/ Therapy aversion?
Have effects of treatment been accounted for?
What level of risk acceptable to Institution?
Potential benefits of risk?
Aspects of assessing risk (Meehle, 1954)
31
Similar debates in other forensic areas
  • The controversy over clinical judgment and
  • statistical reasoning are not only confined
  • to assessment of offenders. Two other
  • areas include
  • Jury Selection
  • Offender Profiling

32
Jury Selection
  • Sometimes called jury profiling, it is actually
    a
  • process of de-selection, whereby the
  • prosecution and defence can preempt the
  • inclusion of certain individuals from being on a
  • jury. The idea is to only use those which will
  • likely be most sympathetic to your case.

33
Methods
  • Intuition looks for general character
    dispositions or implicit personality theories.
    Often basic stereotypes of human behaviour
    derived by consultant.
  • Scientific examines specific theories known to
    influence jury behaviour, e.g. authoritarianism
    or locus of control. Tested using mock juries and
    focus groups.

34
Most successful?
  • As with predictions of offender risk, it is
    impossible to account for all the variables which
    become central features of a trial. Hence, the
    controversial process of jury selection is also
    confounded by the fact that it is not possible to
    realistically evaluate the outcomes. One method
    or practitioner could be more successful
    depending upon the merits of the case or even
    luck.

35
Offender Profiling
  • Offender profiling (or psychological/criminal
    profiling etc.) is a technique the police
    sometimes use during the investigation of
    (usually serious) crime. Profilers analyse
    behaviours from crime scenes in order to make
    inferences about the person who is likely to have
    committed the offence. The style and use of these
    is so varied, again it is difficult to appraise
    how well an individual is at performing this task.

36
Methods
  • Clinical/Diagnostic Evaluations
  • - based upon practitioners experience and
    judgment from past cases
  • - use personality/crime theories
  • - part science, part art
  • Investigative Psychology
  • - developed using offender databases
  • - utilises statistical averages
  • - follows rigorous scientific method
  • NB. Also FBI approach mixture of statistics and
    investigative skill.

37
Most successful?
  • Neither method has shown itself to possess the
    most utility and/or validity both have had some
    moments of glory and also spectacular failures.
    Police often skeptical about the place of
    profiling within an investigation. Many studies
    attempt to assess utility, but again the presence
    of many confounding variables makes this
    difficult.

38
Talking Point Sex Offender Risk
  • With the recent debate regarding sex offenders
    working with children, what are your feelings
    regarding the assessment of these individuals?
  • As it is generally accepted that there will
    always be a chance of re-offending, is there an
    acceptable level of risk that can be taken?
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