Violence Risk Assessment Flashcards
Week 1
how do evaluators measure predictive validity?
they calculate the area under the curve (AUC);
- rate offenders using tool
- examine who offenders
- calculate AUC
e.g., of VRAG limitation; what if someone showed an increase in symptoms of schizophrenia? would this change the rating?
unfortunately not as the items looked at only focus on historical static factors
availability heuristic (confirmation bias)
recall certain info more easily if important/noticeable – so we think it’s true
example of availability heuristic
confirmation bias
an example of representativeness heuristic is
base rate neglect
T/F: actuarial tools do not allow for discretion or flexibility
TRUE. if its not on the tool, you can’t consider it. However some discretion may be important such as someone hearing voices saying to kill others should be able to bump up ratings.
what are the pros of unstructured clinical judgement?
easy, convenient, individualized
anchoring heuristic
overly influenced by whatever info is learned first (e.g. framing)
false negative error
thinking someone is low risk but they’re actually high risk
what does AUC of .70 mean in comparison to AUC of .50
AUC of .70 means that if you randomly selected a
recidivist and a non-recidivist, there is a 70% chance the
recidivist would score higher than the non-recidivist
AUC of .50 means that the tool is no better than chance
representative heuristic (base rate neglect)
rely on stereotypes or evidence that seems prototypical.
true negative
low risk because they truly are low risk
true positive
high risk because they truly are high risk
pros of VRAG
- better reliability
- better predictive validity
- more transparent
- easier to defend
when were risk assessment tools first developed
around 1985
framing is an example of
anchoring heuristic