A survey of intelligence analysts’ strategies for solving analytic tasks
Article
Dhami, M. and Careless, K. 2019. A survey of intelligence analysts’ strategies for solving analytic tasks. Military Psychology. 31 (2), pp. 117-127. https://doi.org/10.1080/08995605.2018.1561105
Type | Article |
---|---|
Title | A survey of intelligence analysts’ strategies for solving analytic tasks |
Authors | Dhami, M. and Careless, K. |
Abstract | Analytic performance may be assessed by the nature of the process applied to intelligence tasks and analysts are expected to use a 'critical' or deliberative mindset. However, there is little research on how analysts do their work. We report the findings of a quantitative survey of 113 intelligence analysts who were asked to report how often they would apply strategies involving more or less critical thinking when performing representative tasks along the analytic workflow. Analysts reported using ‘deliberative’ strategies significantly more often than ‘intuitive’ ones when capturing customer requirements, processing data, and communicating conclusions. Years of experience working in the intelligence community, skill level, analytic thinking training, and time spent working collaboratively (opposed to individually) were largely unrelated to reported strategy use. We discuss the implications of these findings for both improving intelligence analysis and developing an evidence-based approach to policy and practice in this domain. |
Publisher | Taylor and Francis |
Journal | Military Psychology |
ISSN | 0899-5605 |
Publication dates | |
Online | 06 Feb 2019 |
04 Mar 2019 | |
Publication process dates | |
Deposited | 04 Apr 2019 |
Accepted | 12 Dec 2018 |
Output status | Published |
Accepted author manuscript | |
Copyright Statement | This is an Accepted Manuscript of an article published by Taylor & Francis in Military Psychology on 6 February 2019, available online: http://www.tandfonline.com/10.1080/08995605.2018.1561105. |
Digital Object Identifier (DOI) | https://doi.org/10.1080/08995605.2018.1561105 |
Language | English |
https://repository.mdx.ac.uk/item/8834q
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