Selected economic and demographic associates of fear of crime: a log linear approach

Paula Vanessa Turner, Atlanta University

Abstract

This research attempts to show the relationship be tween the independent and dependent variables, through various social statuses on the fear of crime. The purpose of the study was to measure the frequency of the fear of crime during the day, and the fear of crime during the night. The data used in the study is based on a city wide surveys conducted by Debro et al. the Department of Criminal Justice Administration, Atlanta University.

The study consisted of a number of selected variables which were separated into two categories. The categories included: (1) economic variables such as, occupation, employment, social class and income; (2) demographic variables, included age, sex and marital status. The two categories were then formulated into a working model. All of the elements were defined as independent variables, and fear of crime served as the dependent variable. Once the dependent variable was established , log linear models were used to test the relationship between the independent and dependent variables for each group in the study. The study was conducted by submitting the model to descriptive and analytical procedures.

The major findings support the hypothesis that, among the selected economic support that, among the selected economic and demographic variables, these variables had a significant effect on the fear of crime.