A Regression Analysis of The Police Public Contact Survey (PPCS)

• In Event: Roundtable: Policing

Abstract

This study analyzes data from the 2022 Police Public Contact Survey (PPCS) to investigate factors contributing to negative public perceptions of police interactions. Utilizing logistic regression analysis, the research explores how interaction type, timing, and duration of interaction affect perceptions of police behavior and conduct, including bias and misconduct. Findings indicate that individuals stopped by police in a public place are significantly more likely to report experiencing racial and gender bias, as well as improper behavior and the use of slurs or degrading names. Longer interactions particularly those exceeding 15 minutes were also associated with increased reports of negative experiences, including perceived bias and inappropriate conduct. Conversely, individuals who felt police spent an adequate amount of time with them reported significantly fewer negative outcomes and more positive perceptions of police behavior. These findings suggest that the nature and context of police encounters, are critical in shaping public trust and perceptions of legitimacy.

Author

• Brooke Campbell, Western Michigan University