Conditional Ordinal Stereotype Model for Incident-Level Comparison.

DATA - Conditional Ordinal Stereotype Model to Estimate Police Officers' Propensity to Escalate Force

dataSPD.RData contains the Seattle PD use-of-force data already formatted for analysis, a single data frame d. The data frame contains the following columns:

• id: use-of-force incident identifier, sequential integers from 1 to 4,821

• idOff: officer identifier, integers from 1 to 1,503. idOff is a scrambled identifier and does not link to any Seattle PD officer information

• y: ordinal use-of-force level, the most serious level of force that the officer used at this incident. y contains integers from 1 to 4, where 1 is the lowest severity and 4 is the highest severity

Incidents with no variation in y (e.g. single officer incidents, incidents where no officer uses force) have been removed from the data since they have no information for the parameters of interest through the conditional likelihood.