Between 2008 and 2009, the research team gathered survey data from 458 members of the community (Part 1), 312 police officers (Part 2), and 804 individuals who had voluntary contact (Part 3), and 761 individuals who had involuntary contact (Part 4) with police departments in Dallas, Texas, Knoxville, Tennessee, and Kettering, Ohio, and the Broward County, Florida Sheriff's Office. The surveys were designed to look at nine dimensions of police performance: delivering quality services; fear, safety, and order; ethics and values; legitimacy and customer satisfaction; organizational competence and commitment to high standards; reducing crime and victimization; resource use; responding to offenders; and use of authority. The community surveys included questions about police effectiveness, police professionalism, neighborhood problems, and victimization. The officer surveys had three parts: job satisfaction items, procedural knowledge items, and questions about the culture of integrity. The voluntary police contact and involuntary police contact surveys included questions on satisfaction with the way the police officer or deputy sheriff handled the encounter.

This study examined police officers' perceptions of and tolerance for corruption. In contrast to the popular viewpoint that police corruption is a result of moral defects in the individual police officer, this study investigated corruption from an organizational viewpoint. The approach examined the ways rules are communicated to officers, how rules are enforced by supervisors, including sanctions for violation of ethical guidelines, the unspoken code against reporting the misconduct of a fellow officer, and the influence of public expectations about police behavior. For the survey, a questionnaire describing 11 hypothetical scenarios of police misconduct was administered to 30 police agencies in the United States. Specifically, officers were asked to compare the violations in terms of seriousness and to assess the level of sanctions each violation of policies and procedures both should and would likely receive. For each instance of misconduct, officers were asked about the extent to which they supported agency discipline for it and their willingness to report it. Scenarios included issues such as off-duty private business, free meals, bribes for speeding, free gifts, stealing, drinking on duty, and use of excessive force. Additional information was collected about the officers' personal characteristics, such as length of time in the police force (in general and at their agency), the size of the agency, and the level of rank the officer held.

The objective of this study was to assess the role of traumatic exposures, operational and organizational stressors, and personal behaviors on law enforcement safety and wellness. The goal was to provide the necessary data to help researchers, Law Enforcement Agencies (LEAs), and policymakers design policies and programs to address risk factors for Law Enforcement Officers' (LEOs) wellness and safety outcomes. The project objectives were to identify profiles of LEAs who are using best practices in addressing officer safety and wellness (OSAW); determine the extent to which specific occupational, organizational, and personal stressors distinguish OSAW outcomes identify whether modifiable factors such as coping, social support, and healthy lifestyles moderate the relationship between stressors and OSAW outcomes; and investigate which LEA policies/programs have the potential to moderate OSAW outcomes.

Police Integrity Commission: Project Marrella: Is misconduct by NSW police officers affected by the number of students in a training intake at the NSW Police College?

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This study, funded under the Measuring What Matters Program, was conducted to identify general neighborhood strengthening, or community building, processes and police contributions to them. The purpose of the study, also known as the Police-Community Interaction Project (PCIP), was to conceive, identify, or define recognizable patterns of interaction and to find ways to treat these as quantities that vary in amount and can be shown to fluctuate over time or across places. To that end, researchers conducted surveys of block clubs, neighborhood associations, and umbrella groups to gauge the issues that were important to them, steps they were taking to address these issues, and the ways in which they interacted with the police. Researchers also attended the meetings and events held by the Westside Cooperative Organization (WESCO), an umbrella group, and gathered coded data about the meetings, events and issues discussed. Specific variables in the study include demographic variables about the blocks, neighborhoods, and districts represented by the organizations, descriptive variables on the organizations themselves, variables describing issues of importance to the organizations and steps those organizations were taking to address the issues, variables to describe the interaction between the organizations and police, and variables describing police involvement in community activities.

The data for this study were collected in order to examine the delivery of police services in selected neighborhoods. Performances of police agencies organized in different ways were compared as they delivered services to different sets of comparable neighborhoods. For Part 1, Citizen Debriefing Data, data were drawn from telephone interviews conducted with citizens who were involved in police-citizen encounters or who requested police services during the observed shifts. The file contains data on the citizens involved in observed encounters, their satisfaction with the delivered services, and neighborhood characteristics. This file includes variables such as the type of incident, estimated property loss, police response time, type of action taken by police, citizen satisfaction with the handling of the problem by police, reasons for dissatisfaction, the emotional state of the citizen during the encounter, whom the officers referred the citizen to for help, the citizen's prior contacts with police, and the citizen's education, age, sex, and total family income. Part 2, General Shift Information, contains data describing the shift (i.e., the eight-hour tour of duty to which the officers were assigned), the officers, and the events occurring during an observed shift. This file includes such variables as the total number of encounters, a breakdown of dispatched runs by type, the number of contacts with other officers, the number of contacts with non-police support units, officer discretion in taking legal action, and officer attitudes on patrol styles and activities. Part 3, Police Encounters Data, describes police encounters observed by the research team during selected shifts. It consists of information describing the officers' role in encounters with citizens observed during a shift and their demeanor toward the citizens involved. The file includes variables such as the type of encounter, how the encounter began, whether the citizens involved possessed a weapon, the encounter location, what other agencies were present during the encounter and when they arrived, police actions during the encounter, the role of citizens involved in the encounter, the demeanor of the officer toward the citizens during the encounter, actions taken by the citizens, which services were requested by the citizens, and how the observer affected the encounter. Part 4, Victimization Survey Data, examined citizen attitudes about the police and crime in their neighborhoods. The data were obtained through telephone interviews conducted by trained interviewers. These interviews followed a standard questionnaire designed by the project leaders. Variables include perceived risk of victimization, evaluations of the delivery of police services, household victimization occurring in the previous year, actions taken by citizens in response to crime, and demographic characteristics of the neighborhood.

Late last year, the City of Philadelphia began posting online certain data about civilian complaints against the Philadelphia Police Department. The City will only make these data available on a five-year rolling basis, however. The Declaration's Philadelphia Police Accountability Project will be hosting a publicly available archive of the same data to provide Philadelphia residents with a fuller picture of police discipline without five year limits. The Complaints Against Police archived data include the allegations in each separate complaint. The CAP Complainants archived data include details about individuals filing complaints. The CAP Findings archived data include the final disposition of complaints. The City updates the CAP data once per month. The months on the resources below indicate the month that the files in question were uploaded by the City. In other words, the file labeled "Complaints Against Police March 2018 Data" was uploaded by the City in March 2018 before being replaced the next month. The original data are available here: https://www.opendataphilly.org/datasets/police-complaints