A Prototype Comparison of Human Trafficking Warning Signs

U.S. Midwest Frontline Workers’ Perceptions

Dados Bibliográficos

ID7315598
AutoresCorinne Schwarz (0000-0002-7267-9492, Oklahoma State University, autor correspondente), 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)
Ano2020
Volume8
Fascículo4
Páginas419-440
Data de publicação2020-11-01
Peer ReviewedSim
Open AccessNão
TipoARTICLE
PeriódicoJournal of Human Trafficking (JOURNAL)
Identificadores do periódicoISSN: 2332-2705 • E-ISSN: 2332-2713
EditoraTaylor & Francis (PUBLISHER • GB)
DOI10.1080/23322705.2020.1834772
OpenAlexW3095447365
IdiomaEN
Referências 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