This study explores the relationship between religion and anomie. The theoretical framework of Durkheim and Merton was used to suggest the hypothetical relationship between the two variables: as religiosity increases, anomie decreases. A secondary analysis was conducted using the 1991 General Social Survey (GSS). The GSS is one of the largest annual surveys conducted by the National Opinion Research Center. There were 1517 adult respondents composing the 1991 cross-national sample. Questions measuring both the belief and action dimensions of religion were used to measure respondents' level of religiosity. Questions from the Srole Scale of Anomia were used to measure respondents' level of anomia. Durkheim's theory that religion functions to integrate individuals into the larger society and therefore diminish levels of anomie was not supported with this data. While the lack of significant findings did not support the theory, neither did it disprove it. The hypothetical inverse relationship between class and anomie was supported with this data. Another hypothetical relationship, that of the most religious, women experience less anomie than men, was also not supported due to the lack of a significant relationship among the primary variables. Continued use of comprehensive and large scale surveys such as the General Social Survey …

This study investigates changes in rates of property crime in the United States from 1958 to 1993. Predictor variables include changes in rates of economic factors (inflation, technological/cyclical/frictional unemployment), arrest rates for property crimes disaggregated by race (ARPCDR), interaction of ARPCDR and technological unemployment, alcohol offenses, interaction of alcohol offenses and poverty, drug abuse violations, and interaction of drug abuse violations and poverty. Changes in poverty, population growth, and police presence are employed as control variables. The Beach-McKinnon Full Maximum- Likelihood EGLS AR1 Method (accompanied by residual analysis) is used to test seven hypotheses. Significant positive effects upon changes in aggregate property crime rates are found for five predictors: (a) inflation, (b) cyclical unemployment, (c) frictional unemployment, (d) the interaction of white arrest rates and technological unemployment, and (e) the interaction of rates of alcohol offenses and poverty. To explain changes in property crime rates, further research should decompose aggregate rates particularly those pertaining to the economy. Also, the relationship between the interaction of poverty and drug abuse violations, at the aggregate level, and changes in property crime rates should be clarified. This research has important policy implications related to the impact of social, economic, and educational issues on mainstream …