Oral Presentations
Location
Room 208, Schewel Hall
Access Type
Campus Access Only
Entry Number
15
Start Date
4-10-2019 2:30 PM
End Date
4-10-2019 2:45 PM
College
Lynchburg College of Arts and Sciences
Department
Criminology
Abstract
This project will test five variables that could influence the rate of police officers killed or assaulted in the line of duty from 1998 to 2015. These variables include the population per square mile, vacant housing, unemployment rate, percentage of high school graduates, and percentage of poverty rate. The information for the variables and the cases will be from the years of 1998 to 2015, and it will include officers who have been killed or assaulted while they are working.
This project will be looking at these variables to find if there is a correlational between one of the variables and the numbers of police officers that were killed or assaulted in the line of duty. If there are significant results from the statistical test, then the same test could be ran on a larger set of data to see if there are significant results on the larger scale. If there are continuous significant results, then the information that is found from this project could be used to decrease the rate of law enforcement officers killed or assaulted in the line of duty.
Faculty Mentor(s)
Dr. Beth Savage Dr. Michael Klein Prof. Keith Smith
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Police Officers Killed or Assaulted in the Line of Duty from 1998 to 2015
Room 208, Schewel Hall
This project will test five variables that could influence the rate of police officers killed or assaulted in the line of duty from 1998 to 2015. These variables include the population per square mile, vacant housing, unemployment rate, percentage of high school graduates, and percentage of poverty rate. The information for the variables and the cases will be from the years of 1998 to 2015, and it will include officers who have been killed or assaulted while they are working.
This project will be looking at these variables to find if there is a correlational between one of the variables and the numbers of police officers that were killed or assaulted in the line of duty. If there are significant results from the statistical test, then the same test could be ran on a larger set of data to see if there are significant results on the larger scale. If there are continuous significant results, then the information that is found from this project could be used to decrease the rate of law enforcement officers killed or assaulted in the line of duty.