Mediation Training and Conflict Resolution: A Statistical Case Study of Urban Police Practices | Zenodo Skip to main Communities My dashboard Log in Sign up Published August 21, 2025 | Version v1 Journal article Open Mediation Training and Conflict Resolution: A Statistical Case Study of Urban Police Practices Authors/Creators PHAN, Hieu Description Abstract: The purpose of this study was to examine the extent to which a peer mediation and conflict resolution program is associated with behavioral outcomes and disciplinary actions among urban police officers. In a midwestern metropolitan police department, officers lacked structured interventions to address interpersonal conflicts and recurring behavioral issues, often resulting in formal complaints, internal investigations, and disciplinary measures. This study explored contributing factors to repeated misconduct or unprofessional interactions and assessed peer mediation as a potential strategy for improving officer behavior and professional conduct. One underlying issue appeared to be the absence of formalized training in mediation, de-escalation, or interpersonal coping strategies. Officers frequently responded reactively rather than proactively when navigating interpersonal conflicts or high-stress encounters. Participants in the study—officers trained as peer mediators—provided insights into their experiences using conflict resolution strategies as an intervention tool within the department. Through focus groups and reflective interviews, officers shared their involvement in facilitating peer conflict resolution, supporting professional accountability, and promoting leadership through collaborative decision-making. Findings demonstrated that officers who received mediation and conflict resolution training improved their leadership abilities and relationship-building skills. Additionally, participants showed increased knowledge of conflict resolution strategies, which supported: (a) positive behavioral change and reduced incidences of unprofessional conduct, (b) improved collaboration and communication within departmental culture, and (c) a measurable decline in formal disciplinary referrals and internal conflicts. Overall, the study supports the use of peer mediation programs as a proactive, relationship-centered intervention in urban policing environments. Keywords: Mediation Training, Conflict Resolution, Urban Policing, Police Behavior, Peer Mediation, Law Enforcement Training, Police Disciplinary Actions, Officer Conduct, Interpersonal Communication, De-Escalation Strategies, Police Culture, Professional Development, Workplace Conflict, Behavioral Intervention, Organizational Accountability Files 237.pdf Files (330.2 kB) Name Size Download all 237.pdf md5:796431a1f4ebf4d01ab493d983e39db1 330.2 kB Preview Download 28 Views 12 Downloads Show more details All versions This version Views Total views 28 28 Downloads Total downloads 12 12 Data volume Total data volume 4.3 MB 4.3 MB More info on how stats are collected.... Versions External resources Indexed in OpenAIRE Communities Details DOI DOI Badge DOI 10.5281/zenodo.16922211 Markdown [](https://doi.org/10.5281/zenodo.16922211) reStructuredText .. image:: https://zenodo.org/badge/DOI/10.5281/zenodo.16922211.svg :target: https://doi.org/10.5281/zenodo.16922211 HTML <a href="https://doi.org/10.5281/zenodo.16922211"><img src="https://zenodo.org/badge/DOI/10.5281/zenodo.16922211.svg" alt="DOI"></a> Image URL https://zenodo.org/badge/DOI/10.5281/zenodo.16922211.svg Target URL https://doi.org/10.5281/zenodo.16922211 Resource type Journal article Publisher Zenodo Rights License Creative Commons Attribution 4.0 International The Creative Commons Attribution license allows re-distribution and re-use of a licensed work on the condition that the creator is appropriately credited. Read more Citation Export Technical metadata Created April 20, 2026 Modified April 20, 2026 Jump up About About Policies Infrastructure Principles Projects Roadmap Contact Blog Blog Support Help FAQ Developers REST API OAI-PMH Contribute GitHub Donate Funded by Powered by CERN Data Centre & InvenioRDM Status Privacy policy Cookie policy Terms of Use This site uses cookies. Find out more on how we use cookies Accept all cookies Accept only essential cookies