Title: Clinical vs' Actuarial Assessments
1Clinical vs. Actuarial Assessments
- MSc Applied Forensic
- Psychology
- Gareth Norris
- 23rd January, 2006
2Contradictions in Psychology
- Nature vs. Nurture
- Psychodynamic vs. Cognitive
- Qualitative vs. Quantitative
- (Positivist vs. Classicist Criminology)
3Types of Assessment
- Assessment can be for one or more purposes
- Treatment
- Recidivism
- Dangerousness/Risk
4What 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
5Recent 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.
6Clinical 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
7Linear 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.
8Hypothetico-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
9Multi-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.
10Problems 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
11John Monahan University of Virginia
- When it comes to predicting violence, our
crystal balls are terribly cloudy (Rosenthal,
1993, p.1)
12Fooling 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!
13Actuarial 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
14Use 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
-
15Reasons 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
16Top 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)
17Predictor 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
18Predictor 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
19Predictor 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)
20Predictive 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
22Consequences 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
23Which 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
25Base 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
26Base 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
27Common 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
28Problems 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
29Improving 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)
30Clinical 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)
31Similar 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
32Jury 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.
33Methods
- 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.
34Most 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.
35Offender 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.
36Methods
- 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.
37Most 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.
38Talking 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?