Nicholas Longpré, E. Stefanska, Maria Tachmetzidi Papoutsi, E. White
{"title":"披着羊皮的狼:跟踪维度结构的分类学证据","authors":"Nicholas Longpré, E. Stefanska, Maria Tachmetzidi Papoutsi, E. White","doi":"10.1108/jcp-09-2021-0038","DOIUrl":null,"url":null,"abstract":"\nPurpose\nThe 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.\n\n\nDesign/methodology/approach\nThe 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.\n\n\nFindings\nTaxometric 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).\n\n\nResearch limitations/implications\nA 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.\n\n\nOriginality/value\nThis 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.\n","PeriodicalId":44013,"journal":{"name":"Journal of Criminal Psychology","volume":" ","pages":""},"PeriodicalIF":2.1000,"publicationDate":"2023-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"A Wolf in sheep’s clothing: taxometric evidence of the dimensional structure of stalking\",\"authors\":\"Nicholas Longpré, E. Stefanska, Maria Tachmetzidi Papoutsi, E. White\",\"doi\":\"10.1108/jcp-09-2021-0038\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"\\nPurpose\\nThe 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.\\n\\n\\nDesign/methodology/approach\\nThe 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.\\n\\n\\nFindings\\nTaxometric 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).\\n\\n\\nResearch limitations/implications\\nA 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.\\n\\n\\nOriginality/value\\nThis 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. 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A Wolf in sheep’s clothing: taxometric evidence of the dimensional structure of stalking
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.