Which of the following statements is true regarding prediction outcomes in the context of risk assessment?Group of answer choicesdecreasing the number of false positive errors results in a decrease in the number of false negative errorswhen trying to predict events that have low base rates, false negative errors tend to occur most frequentlythe base rate of conditional release violations is very lowdecreasing the number of false positive errors results in an increase in the number of false negative errorsnone of the options
Question
Which of the following statements is true regarding prediction outcomes in the context of risk assessment?Group of answer choicesdecreasing the number of false positive errors results in a decrease in the number of false negative errorswhen trying to predict events that have low base rates, false negative errors tend to occur most frequentlythe base rate of conditional release violations is very lowdecreasing the number of false positive errors results in an increase in the number of false negative errorsnone of the options
Solution
The true statement regarding prediction outcomes in the context of risk assessment is: "Decreasing the number of false positive errors results in an increase in the number of false negative errors."
Here's why:
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In the context of risk assessment, a false positive error occurs when a prediction is made that an event will occur (such as a person committing a crime), but it does not actually happen. A false negative error occurs when a prediction is made that an event will not occur, but it does.
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If you decrease the number of false positive errors (i.e., you become more conservative in predicting that events will occur), you are likely to increase the number of false negative errors (i.e., you will miss more events that do occur). This is because you are shifting the balance of your predictions towards saying that events will not occur.
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The other options are not necessarily true. The base rate of events (like conditional release violations) can vary widely depending on the context, and false negative errors do not necessarily occur most frequently when predicting low base rate events. It depends on the accuracy of the prediction model and the threshold set for predicting an event.
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