A Prototype Comparison of Human Trafficking Warning Signs

U.S. Midwest Frontline Workers’ Perceptions

Datos Bibliográficos

ID7315598
AutoresCorinne Schwarz (0000-0002-7267-9492, Oklahoma State University, autor de correspondencia), Chong Xing (0009-0000-2425-6172, University of Kansas), Hannah E Britton (University of Kansas), Paul E Johnson (0000-0002-7903-7388, University of Kansas)
Año2020
Volumen8
Número4
Páginas419-440
Fecha de publicación2020-11-01
Peer ReviewedSí
Open AccessNo
TipoARTICLE
RevistaJournal of Human Trafficking (JOURNAL)
Identificadores de la revistaISSN: 2332-2705 • E-ISSN: 2332-2713
EditorialTaylor & Francis (PUBLISHER • GB)
DOI10.1080/23322705.2020.1834772
OpenAlexW3095447365
IdiomaEN
Referencias citadas58

Guided by the cognitive prototype approach, this article examines the prototype structure of the frontline workers’ perceptions concerning warning sign indicators in human trafficking. Online survey responses across a range of workplace sectors were analyzed using multiple-group confirmatory factor analysis (MG-CFA) for three groups. These groups were based on respondents’ self-reported human trafficking experiences: no witness (no encounter of human trafficking), sex trafficking witness, and labor trafficking witness. The MG-CFA analysis revealed a three-factor structure – physical condition, reproductive health, and personal risk – representing the participants’ perceptions of the warning signs. Further analysis showed group-level mean (latent intercept) and variance differences between the prototype structures of the three witness groups. The final structural model results indicate that these group-level prototype differences can be explained by two organizational resource variables: identification protocol and training. The results are discussed in light of the current empirical literature on human trafficking identification, stereotypical frames of victimhood, and policy practices

Business · Criminology · Human trafficking · Medical emergency · Perception · Transport engineering · Warning signs · Engineering · HIV, Drug Use, Sexual Risk · Medicine · Psychology · Sex work and related issues · Sexuality, Behavior, and Technology