Design, development and validity testing of the Gang Affiliation Risk Measure (GARM)
Journal article
Raby, C., Jones, F., Hulbert, S. and Stout, J. 2017. Design, development and validity testing of the Gang Affiliation Risk Measure (GARM). Journal of Forensic Psychiatry & Psychology. https://doi.org/10.1080/14789949.2017.1324578
Authors | Raby, C., Jones, F., Hulbert, S. and Stout, J. |
---|---|
Abstract | This study aimed to create a measure of risk for gang affiliation, for use in the UK. A pilot stage invited gang affiliated and non-gang affiliated participants between the ages of 16–25 years to retrospectively self-report on 58 items of risk exposure at the age of 11 years. Based on performance of these items, a 26-item measure was developed and administered to a main study sample (n=185) of gang affiliated and non-gang affiliated participants. Categorical Principal Component Analysis was applied to data, yielding a single-factor solution (historic lack of safety and current perception of threat). A 15-item gang affiliation risk measure (GARM) was subsequently created. The GARM demonstrated good internal consistency, construct validity and discriminative ability. Items from the GARM were then transformed to read prospectively, resulting in a test measure for predictive purposes (T-GARM). The T-GARM requires further validation regarding its predictive utility and generalisability. However, this study has resulted in the first measure of gang affiliation, with promising results. |
Year | 2017 |
Journal | Journal of Forensic Psychiatry & Psychology |
Publisher | Taylor & Francis |
ISSN | 1478-9949 |
Digital Object Identifier (DOI) | https://doi.org/10.1080/14789949.2017.1324578 |
Funder | Hackney Council |
Publication dates | |
Online | 10 May 2017 |
Publication process dates | |
Deposited | 15 May 2017 |
Accepted | 21 Apr 2017 |
Accepted author manuscript | |
Supplemental file | |
Output status | Published |
https://repository.canterbury.ac.uk/item/8828q/design-development-and-validity-testing-of-the-gang-affiliation-risk-measure-garm
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