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Full-Text Articles in Community-Based Research

Poverty Knowledge, Coercion, And Social Rights: A Discourse Ethical Contribution To Social Epistemology, David Ingram Oct 2013

Poverty Knowledge, Coercion, And Social Rights: A Discourse Ethical Contribution To Social Epistemology, David Ingram

David Ingram

In today’s America the persistence of crushing poverty in the midst of staggering affluence no longer incites the righteous jeremiads it once did. Resigned acceptance of this paradox is fueled by a sense that poverty lies beyond the moral and technical scope of government remediation. The failure of experts to reach agreement on the causes of poverty merely exacerbates our despair. Are the causes internal to the poor – reflecting their more or less voluntary choices? Or do they emanate from structures beyond their control (but perhaps amenable to government remediation)? If both of these explanations are true (as I …


Burglary Crime Analysis Using Logistic Regression, Daniel Antolos, Dahai Liu, Andrei Ludu, Dennis Vincenzi Jul 2013

Burglary Crime Analysis Using Logistic Regression, Daniel Antolos, Dahai Liu, Andrei Ludu, Dennis Vincenzi

Andrei Ludu

This study used a logistic regression model to investigate the relationship between several predicting factors and burglary occurrence probability with regard to the epicenter. These factors include day of the week, time of the day, repeated victimization, connectors and barriers. Data was collected from a local police report on 2010 burglary incidents. Results showed the model has various degrees of significance in terms of predicting the occurrence within difference ranges from the epicenter. Follow-up refined multiple comparisons of different sizes were observed to further discover the pattern of prediction strength of these factors. Results are discussed and further research directions …


Burglary Crime Analysis Using Logistic Regression, Daniel Antolos, Dahai Liu, Andrei Ludu, Dennis Vincenzi Jul 2013

Burglary Crime Analysis Using Logistic Regression, Daniel Antolos, Dahai Liu, Andrei Ludu, Dennis Vincenzi

Dahai Liu

This study used a logistic regression model to investigate the relationship between several predicting factors and burglary occurrence probability with regard to the epicenter. These factors include day of the week, time of the day, repeated victimization, connectors and barriers. Data was collected from a local police report on 2010 burglary incidents. Results showed the model has various degrees of significance in terms of predicting the occurrence within difference ranges from the epicenter. Follow-up refined multiple comparisons of different sizes were observed to further discover the pattern of prediction strength of these factors. Results are discussed and further research directions …