JOURNAL ARTICLE
The efficacy of the Delphi method for adapting cognitive interviewing instructions into culturally and linguistically diverse international policing contexts.
Published In: International Journal of Speech, Language & the Law, 2024, v. 31, n. 1. P. 131 1 of 3
Database: Communication Source 2 of 3
Authored By: Muniroh, R. Dian Dia-an; Heydon, Georgina 3 of 3
Abstract
This article examines the adaptation of the Cognitive Interviewing (CI) technique—an internationally recognized, memory-enhancing method for ethical police witness interviews—into culturally and linguistically diverse contexts, focusing on Indonesia as a case study. It highlights that effective implementation of CI requires more than direct translation of training materials; it demands careful consideration of linguistic, cultural, and legal differences, particularly the complex multidimensional nature of formality in Indonesian language and police discourse. The authors propose and demonstrate the use of the Delphi method, an iterative expert consensus approach involving linguists, translators, and police investigators, to identify optimal Indonesian translations of CI instructions that align with local norms and support the 2021 United Nations Mendez Principles on effective interviewing. Findings reveal a preference for formal language styles combined with appropriate discourse particles to balance professionalism and rapport-building, underscoring the necessity of nuanced, evidence-based translation processes for global implementation of investigative interviewing standards.
Additional Information
- Source:International Journal of Speech, Language & the Law. 2024/01, Vol. 31, Issue 1, p131
- Document Type:Article
- Subject Area:Religion and Philosophy
- Publication Date:2024
- ISSN:1748-8885
- DOI:10.1558/ijsll.24367
- Accession Number:179925951
- Copyright Statement:Copyright of International Journal of Speech, Language & the Law 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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