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.A.Cgptg�ffQr Policing Equity (CPE) provides data collection and <br />reporting standards for racial bias analyses and inclusion in the <br />National Justice Database project <br />• 22 data fields including: <br />• Pedestrian stop (0,1) <br />• Vehicle stop (0, 1) <br />• Incident number <br />• Date and time of stop <br />• Location of stop <br />• Officer: ID, Race, Rank, <br />DOB, Service years, Gender, <br />District <br />• Suspect: ID, Race code, <br />Race, Gender, DOB <br />• Stop reason <br />• Disposition <br />• Searches and results of <br />searches <br />• 14 data fields including: <br />• Date Received <br />• IAD Number <br />• Incident Type <br />• Type of force used <br />• Outcomes (citizen injuries, <br />officer injuries, arrests) <br />• Officer Race, Gender, Age, <br />Rank, Tenure, Badge <br />number <br />• Citizen Age, Race, Sex <br />"Everytown PD, City Report", Center for Policing Equity, 2015. <br />• Answers 2 questions: <br />predictors of positive officer <br />experiences & predictors of <br />unfair officer behaviors. <br />• Independent variables: <br />Procedural justice, <br />stereotype threat, social <br />dominance orientation <br />• Dependent variables: Job <br />satisfaction, job stress, <br />compliance, police <br />identification, community <br />trust, cynicism, support for <br />use of force policy etc <br />Stanford University <br />F <br />