Research output: Contribution to Journal/Magazine › Journal article › peer-review
Research output: Contribution to Journal/Magazine › Journal article › peer-review
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TY - JOUR
T1 - No Procedural Justice, No Peace? Judgements of Police Legitimacy in ‘Real-time’ Interactions Captured on Camera - Registered Report Stage 1
AU - Philpot, Richard
AU - Levine, Mark
AU - Acre-Plata, Carlos
AU - Elphick, Camilla
AU - Zhang, Min
AU - Stuart, Avelie
AU - Walkington, Zoe
AU - Pike, Graham
AU - Frumkin, Lara
AU - Popple, Dan
AU - Keil, Tina F.
AU - Price, Blaine
AU - Nuseibeh, Bashar
AU - Bandara, Arosha
PY - 2021/7/21
Y1 - 2021/7/21
N2 - ‘Procedural justice’ has long been advocated as key to maintaining citizen trust in policing. However, there is very little work analysing how both citizens and police officers judge the four key procedural justice predictors of police legitimacy (participation and voice; fairness and neutrality; dignity and respect; conveying trustworthy motives) in real-life policing events. In a preregistered design, and using a corpus of 44 videos of police-citizen interactions in the United Kingdom, we analyse the way 353 citizens and 353 police officers judge police legitimacy in the interactions. The analysis consists of four initial crossed-random effects mixed-model designs (each testing one procedural justice behavioural predictor on citizen perceptions) and two robustness crossed-random effects mixed-model analyses that explore the impact of other relevant factors on both citizen and police judgements of legitimacy. This combination of pre-registration and ‘real-life’ behavioural data provides the platform for a rigorous test of the procedural justice model.
AB - ‘Procedural justice’ has long been advocated as key to maintaining citizen trust in policing. However, there is very little work analysing how both citizens and police officers judge the four key procedural justice predictors of police legitimacy (participation and voice; fairness and neutrality; dignity and respect; conveying trustworthy motives) in real-life policing events. In a preregistered design, and using a corpus of 44 videos of police-citizen interactions in the United Kingdom, we analyse the way 353 citizens and 353 police officers judge police legitimacy in the interactions. The analysis consists of four initial crossed-random effects mixed-model designs (each testing one procedural justice behavioural predictor on citizen perceptions) and two robustness crossed-random effects mixed-model analyses that explore the impact of other relevant factors on both citizen and police judgements of legitimacy. This combination of pre-registration and ‘real-life’ behavioural data provides the platform for a rigorous test of the procedural justice model.
KW - Police citizen interaction
KW - procedural justice
KW - police legitimacy
KW - lawfulness
KW - video behavioural analysis
KW - registered report
U2 - https://osf.io/gmc4z
DO - https://osf.io/gmc4z
M3 - Journal article
JO - Royal Society Open Science
JF - Royal Society Open Science
SN - 2054-5703
ER -