Owen Christopher Lawless, Alejandro Jose Morales


Presentation: 9:00-10:15, Kennedy Union Ballroom



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The current study looks to explore the connection between police traffic stops and if the individual who was stopped thought that the police officer behaved. Through many different variables we are able to see if our dependent variable, did the police behave, correlates. Our variables which we will be looking into are the race, age, sex of the individual, if the individual was given a reason for the stop, if the stop was legitimate, if the individual received a ticket, the time of day of the stop, the income of the person being stopped, and the amount of time of the stop. These variables will allow us to determine how the police behave from stop to stop and how the different features of the individuals affect the policies behavior. For the most part our variables are coded as (1) yes (2) no except for age which is categorized by age groups. For our variables we will be using linear regression to find our results. Our models showed that non-white people are more likely to say that the police did not behave more often. In the second model it also showed that non-white people said that police did not behave more often when in the same model as age and sex, but when with all of the variables we found that race was not significant. Our results also showed us that in model three that the reason for the stop, if the stop was legitimate, if you received a ticket, the income of the person, and the amount of time spent at the stop were all significant variables in our model.

Publication Date


Project Designation

Capstone Project

Primary Advisor

Mark A. Morgan

Primary Advisor's Department

Criminal Justice and Security Studies


Stander Symposium, College of Arts and Sciences

Police Behavior Survey