NCAdata: Interim Dane data with new criminal activity (NCA) as an...
In aihuman: Experimental Evaluation of Algorithm-Assisted Human Decision-Making

NCAdata

R Documentation

Interim Dane data with new criminal activity (NCA) as an outcome

Description

An interim dataset containing pre-treatment covariates, a binary treatment (Z), an ordinal decision (D), and an outcome variable (Y). The data used for the paper, and made available here, are interim, based on only half of the observations in the study and (for those observations) only half of the study follow-up period. We use them only to illustrate methods, not to draw substantive conclusions.

Usage

NCAdata

Format

A data frame with 1891 rows and 19 variables:

Z: binary treatment
D: ordinal decision
Y: outcome
Sex: male or female
White: white or non-white
SexWhite: the interaction between gender and race
Age: age
PendingChargeAtTimeOfOffense: binary variable for pending charge (felony, misdemeanor, or both) at the time of offense
NCorNonViolentMisdemeanorCharge: binary variable for current non-violent felony charge
ViolentMisdemeanorCharge: binary variable for current violent misdemeanor charge
ViolentFelonyCharge: binary variable for current violent felony charge
NonViolentFelonyCharge: binary variable for current non-violent felony charge
PriorMisdemeanorConviction: binary variable for prior conviction of misdemeanor
PriorFelonyConviction: binary variable for prior conviction of felony
PriorViolentConviction: four-level ordinal variable for prior violent conviction
PriorSentenceToIncarceration: binary variable for prior sentence to incarceration
PriorFTAInPast2Years: three-level ordinal variable for FTAs from past two years
PriorFTAOlderThan2Years: binary variable for FTAs from over two years ago
Staff_ReleaseRecommendation: four-level ordinal variable for the DMF recommendation