Not exact matches
«The
prediction is based
on data that's widely available from all hospital admissions, including age,
gender, zip codes, medications, and prior diagnoses,» notes Goldhill.
Several academics have proposed algorithms for predicting case outcomes based
on information such as the composition of an appellate panel and the ideology,
gender and background of the judges, and these algorithms have generally performed better than law professors»
predictions based
on the legal issues involved.
We're not exactly sure why (we didn't have strong
predictions about
gender), but it could be because women are traditionally more sensitive to moral violations that could involve causing harm to others (women typically score higher
on empathy), 5 and that women are more sensitive to disgusting things, 6 which would include sexual norm violations.7 We suggest that future research further investigate
gender differences in moral reasoning.
The moderating effect of child
gender on the relations between parent
predictions and observed anxiety was evaluated using linear regression (Holmbeck, 1997).