Victim Injury Severity Estimation in Armed Robbery 1George D.K
American International Journal of Available online at http://www.iasir.net Research in Science, Technology, Engineering & Mathematics ISSN (Print): 2328-3491, ISSN (Online): 2328-3580, ISSN (CD-ROM): 2328-3629 AIJRSTEM is a refereed, indexed, peer-reviewed, multidisciplinary and open access journal published by International Association of Scientific Innovation and Research (IASIR), USA (An Association Unifying the Sciences, Engineering, and Applied Research) Victim Injury Severity Estimation in Armed Robbery 1George D.K. Adjavon, 1,*Richard Tawiah, 1Kofi A. Adu-Poku 1Department of Mathematics, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana Abstract: The association of three ordered categories of victim injury severity namely, no, minor and serious injury with robbery situational characteristics is investigated in this paper. In line with this objective the proportional odds (PO) model was fitted to armed robbery data extracted from a Police unit in Kumasi, Ghana. We formulated a latent variable model from the PO model for thresholds of the categories of victim injury severity. The logit of being at or below a given category was identified by comparing estimated logits of the situational characteristics to the thresholds. The study showed that the logit of victim injury being serious is associated with the use of firearm, knife and other cutting instruments in robberies. Also, the logit of victim injury being minor is associated with the use of blunt objects in robberies. The validity of our model was investigated under the assumption of parallel lines. Keywords: Armed robbery, Proportional Odds model, Logit, Victim injury severity I. Introduction Armed robbery ranks among the most serious and feared criminal offences in Ghana because it involves both threatened or actual violence and loss of property to the victim.
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