Add to ORKGThis paper is a victimization study of burglary that analyzes factors in a quantitative method. Ordinary least squares regression is applied to data gathered on an individual neighborhood. Limitations of this method is discussed and an alternative weighted least squares regression is performed on four separate models. The results of these regression methods are discussed.Master of Public AdministrationPublic AdministrationUniversity of Michigan-Flinthttps://deepblue.lib.umich.edu/bitstream/2027.42/143335/1/Hect.pd
Routine activity theory has long been plagued by a heavy reliance on proxy measures of lifestyles, w...
Research concerned with burglary indicates that it is clustered not only at places but also in time....
Routine activity theory has long been plagued by a heavy reliance on proxy measures of lifestyles, w...
This study used a logistic regression model to investigate the relationship between several predicti...
This study used a quasi-experiment in order to evaluate the effect the SPOT-burglary profile on burg...
This study used a quasi-experiment in order to evaluate the effect the SPOT-burglary profile on burg...
This study used a quasi-experiment in order to evaluate the effect the SPOT-burglary profile on burg...
This dissertation examines the influence of ecological, institutional, and cultural variables on nei...
Parameter estimates and fit statistics for regression models predicting burglary crimes.</p
This study examines factors relating to burglary incidence in England and Wales, the United States, ...
This issue of Review of Applied Urban Research features Burglary Offender Characteristics Can Be Pr...
This study examines factors relating to burglary incidence in England and Wales, the United States, ...
Predictive policing seeks to allocate scarce resources where and when they are most needed. Yet anal...
ABSTRACT: Burglary is a serious, costly, and prevalent crime but prior typologies of burglars are mo...
This paper analyzes the utility maximization of a burglar who anticipates the revenue generated by h...
Routine activity theory has long been plagued by a heavy reliance on proxy measures of lifestyles, w...
Research concerned with burglary indicates that it is clustered not only at places but also in time....
Routine activity theory has long been plagued by a heavy reliance on proxy measures of lifestyles, w...
This study used a logistic regression model to investigate the relationship between several predicti...
This study used a quasi-experiment in order to evaluate the effect the SPOT-burglary profile on burg...
This study used a quasi-experiment in order to evaluate the effect the SPOT-burglary profile on burg...
This study used a quasi-experiment in order to evaluate the effect the SPOT-burglary profile on burg...
This dissertation examines the influence of ecological, institutional, and cultural variables on nei...
Parameter estimates and fit statistics for regression models predicting burglary crimes.</p
This study examines factors relating to burglary incidence in England and Wales, the United States, ...
This issue of Review of Applied Urban Research features Burglary Offender Characteristics Can Be Pr...
This study examines factors relating to burglary incidence in England and Wales, the United States, ...
Predictive policing seeks to allocate scarce resources where and when they are most needed. Yet anal...
ABSTRACT: Burglary is a serious, costly, and prevalent crime but prior typologies of burglars are mo...
This paper analyzes the utility maximization of a burglar who anticipates the revenue generated by h...
Routine activity theory has long been plagued by a heavy reliance on proxy measures of lifestyles, w...
Research concerned with burglary indicates that it is clustered not only at places but also in time....
Routine activity theory has long been plagued by a heavy reliance on proxy measures of lifestyles, w...