Literature DB >> 29294691

An Israeli Model for Predicting Fear of Terrorism Based on Community and Individual Factors.

Mally Shechory-Bitton1, Keren Cohen-Louck1.   

Abstract

The purpose of the study was to suggest a model for predicting fear of terrorism using theoretical explanations that predict fear of crime. The study focused on two different levels of analysis: community and individual. The sample consisted of 507 Israeli adults. Predictions of fear of terrorism and fear of crime were conducted with two path analysis models, calculated using AMOS software. Fear of terrorism was predicted directly by gender, age, prior victimization, religiosity, and neighborhood disorder. The findings allow the researchers to offer a predictive model for fear of terrorism based on a combination of theories that explain fear of crime as well as a theory concerning the link between fear of death and religion. A combination of environmental theories (e.g., the Broken Windows theory), theories related to personal variables (e.g., the Vulnerability theory), and the Terror Management theory can produce an adequate theoretical framework for explaining fear of terrorism.

Entities:  

Keywords:  community variables; fear of crime; fear of terrorism; individual variables; religion.

Mesh:

Year:  2017        PMID: 29294691     DOI: 10.1177/0886260517700621

Source DB:  PubMed          Journal:  J Interpers Violence        ISSN: 0886-2605


  2 in total

1.  Differences in post-traumatic growth: Individual quarantine, COVID-19 duration and gender.

Authors:  Keren Cohen-Louck
Journal:  Front Psychol       Date:  2022-07-19

2.  Predicting Individual Function During COVID-19 Lockdown: Depression, Fear of COVID-19, Age, and Employment.

Authors:  Inna Levy; Keren Cohen-Louck
Journal:  Front Psychol       Date:  2021-07-01
  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.