Predictive validity performance indicators in violence risk assessment: a methodological primer.

By Jay P. Singh. 2013

181 citations recorded by the source corpus.

Subfields: Clinical Psychology, Health, Sociology and Political Science

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Citations in the corpus

Fair Prediction with Disparate Impact: A Study of Bias in Recidivism Prediction Instruments (2016, methodology): “These standards have recently been applied to the COMPAS [3] and PCRA [4] instruments, with initial findings suggesting that there is evidence of predictive bias when it comes to gender, but not when it comes to race [5, 6, 7].”
Risk Assessment Instruments Validated and Implemented in Correctional Settings in the United States (2013, background): “Discrimination and calibration are two sides of the same coin – both representing important qualities of an instrument’s predictive validity – but address different issues (Singh, 2013).”
Primer on Risk Assessment and the Statistics Used to Evaluate Its Accuracy (2017, background): “In other words, the possible values of the correlation are constrained as the base rate increases or decreases below 50%, such that with a 5% base rate of recidivism, the highest possible correlation is only .47 (Singh, 2013).”
It's COMPASlicated: The Messy Relationship between RAI Datasets and Algorithmic Fairness Benchmarks (2021, background): “291 Psychologists are also informed by methodological primers [94, 95], which recommend statistical 292 tests to assess discrimination (i.”
False Positives , False Negatives , and False Analyses : A Rejoinder to “ Machine Bias : There ’ s Software Used Across the Country to Predict Future Criminals . And It ’ s Biased Against Blacks . ” (2017, unknown): “See Singh (2013) for a methodological primer regarding performance indicators for ARAIs.”
The predictive validity of risk assessment tools for female offenders: A systematic review (2015, unknown): “Predictive validity (or accuracy) refers to the ability of an instrument to correctly assess the likelihood of violence or recidivism (Singh, 2013).”
False Positives, False Negatives, and False Analyses: A Rejoinder to "Machine Bias: There's Software Used across the Country to Predict Future Criminals. and It's Biased against Blacks" (2016, unknown): “See Singh (2013) for a methodological primer regarding performance indicators for ARAIs.”