JOURNAL ARTICLE

Improving the Interviewing of Suspects Using the PEACE Model: A Comprehensive Overview.

  • Published In: Canadian Journal of Criminology & Criminal Justice, 2023, v. 65, n. 1. P. 80 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Bull, Ray 3 of 3

Abstract

This article focuses on the development and global influence of non-coercive investigative interviewing methods, particularly the PEACE model, and the 2021 United Nations "Principles of Effective Interviewing." Originating in England and Wales in 1992, the PEACE method—comprising Planning, Explain/Engage, Account, Closure, and Evaluation phases—was developed to replace coercive interrogation with evidence-based, rapport-building techniques informed by psychology. Research indicates that PEACE-trained interviewers demonstrate improved skills such as empathy, flexibility, and effective questioning, which correlate with obtaining more accurate and comprehensive information from suspects. The United Nations Special Rapporteur on torture, Juan Mendez, advocated for a universal protocol of non-coercive interviewing standards, culminating in the 2021 Principles of Effective Interviewing that emphasize ethical, transparent, and scientifically informed practices to reduce false confessions and miscarriages of justice. Studies from various countries support the effectiveness of rapport-based, non-coercive approaches over accusatorial or coercive methods in eliciting reliable information during investigative interviews.

Additional Information

  • Source:Canadian Journal of Criminology & Criminal Justice. 2023/01, Vol. 65, Issue 1, p80
  • Document Type:Article
  • Subject Area:Law
  • Publication Date:2023
  • ISSN:1707-7753
  • DOI:10.3138/cjccj.2023-0003
  • Accession Number:164245775
  • Copyright Statement:Copyright of Canadian Journal of Criminology & Criminal Justice is the property of University of Toronto Press and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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