Testing for Individual Factors for the Fear of Crime Using a Multiple Indicator-Multiple Cause Model

Abstract

In the extant literature, very few studies have simultaneously examined the impact of individual attributes, neighbourhood disorder and social cohesion on an individual’s fear of crime. This article addresses the use of multiple-indicator, multiple-cause (MIMIC) analysis for testing different variables related to the fear of crime based on a number of theories. Face-to-face interviews with residents of a high-crime council estate were conducted to examine the crime rate, disorder, cohesion and the fear of crime in the participants’ residential area. The results support the incivilities thesis and the vulnerability hypothesis, while the social disorganisation theory was partially supported. It was concluded that women and the elderly demonstrate higher levels of fear than men and the nonelderly and that crime, disorder and social cohesion have a direct effect on one’s level of fear, as the decreases in neighbourhood cohesion increase the individuals’ levels of fear. In addition, people who have been victimised and those who perceive higher levels of incivility were found to be more fearful of crime. By incorporating the three theories, the final model is able to account for 50 % of the variance in the fear of crime.