Centro de Documentação da PJ
Analítico de Periódico
CD 335
A wolf in sheep’s clothing [Recurso eletrónico] : taxometric evidence of the dimensional structure of stalking / Nicholas Longpré ..[et al.]
Journal of Criminal Psychology, Vol. 13, nº 1 (2023), p. 18-33
CRIME CONTRA AS PESSOAS, ANÁLISE PSICOLÓGICA, PSICOLOGIA CRIMINAL
Purpose – The purpose of this study is to examine the latent structure of stalking. Stalking can be defined as a pattern of repeated and unwanted behaviours that cause another person to be afraid. The consequences for the victims can be severe and potentially happen over a long period of time. While stalking is considered as a taxon, empirical evidence and an absence of pathognomonic criteria point towards a dimensional structure. Design/methodology/approach – The aim of this study is to examine the latent structure of stalking using taxometric analyses on the Severity of Stalking Behaviours Scale. Analyses were conducted on a sample of N = 1,032 victims’ accounts, who had contacted the National Stalking Helpline in the UK. Findings – Taxometric analyses revealed that stalking presents a dimensional structure, and no taxonic peaks emerged. The results were consistent across analyses (MAMBAC, MAXEIG and L-Mode), indicators (CCFI, curves) and measures (items, factors). Research limitations/implications – A dimensional structure implies that individual variation is a matter of intensity, and the present results suggest that the conceptualization of stalking should be modified. Understanding stalking from a dimensional perspective provides support to study stalking in non-clinical populations. Scales that measure stalking should provide discrimination along the entire continuum rather than focusing on putative taxonic boundaries and arbitrary threshold. Originality/value – This paper is proposing the first set of taxometric analyses on stalking. The results are providing empirical support to the idea that stalking exists on a continuum. It also strengthened the validity of previous findings in non-clinical populations and their applications all along the continuum, including with clinical populations.
