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

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.