Citizen Characteristics, Neighbourhood Conditions, and Prior Contacts with the Police: A Comparative Study of Public Satisfaction with the Police.
This study takes a comparative approach to examine public satisfaction with the police, focusing on three theoretical models: the demographic model, the neighbourhood conditions model, and the prior contacts with the police model. Using survey data collected from two mid-sized communities in the U.S...
| Published in: | Canadian Journal of Criminology & Criminal Justice Vol. 62; no. 4; pp. 77 - 102 |
|---|---|
| Main Authors: | , , |
| Format: | Article |
| Published: |
University of Toronto Press
2020
|
| Subjects: | |
| Online Access: | View this record in EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ssf&AN=147672159&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 147672159 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 17077753 U3F jtl: Canadian Journal of Criminology & Criminal Justice issn: 17077753 maglogo: N pubinfo: dt: 2020 vid: 62 iid: 4 pid: 678 pub: University of Toronto Press artinfo: ui: 147672159 10.3138/cjccj.2020-0026 ppf: 77 ppct: 25 formats: tig: atl: Citizen Characteristics, Neighbourhood Conditions, and Prior Contacts with the Police: A Comparative Study of Public Satisfaction with the Police. aug: au: Dai, Mengyan Hu, Xiaochen Gu, Feng affil: Old Dominion University, Department of Sociology and Criminal Justice Fayetteville State University, Department of Criminal Justice College of Staten Island, Department of Computer Science su: Canada Satisfaction Neighborhoods Police Forest management Random forest algorithms Acquisition of data sug: subj: Satisfaction Neighborhoods Police Forest management Canada Support Activities for Forestry Federal police services Municipal police services Police Protection Provincial police services Random forest algorithms Acquisition of data keyword: citizen survey comparative research random forests analysis satisfaction with the police analyse des forêts aléatoires recherche comparative satisfaction dans la police sondage des citoyens citizen survey comparative research random forests analysis satisfaction with the police analyse des forêts aléatoires recherche comparative satisfaction dans la police sondage des citoyens ab: This study takes a comparative approach to examine public satisfaction with the police, focusing on three theoretical models: the demographic model, the neighbourhood conditions model, and the prior contacts with the police model. Using survey data collected from two mid-sized communities in the U.S. and Canada, this study analyzes the similarities and differences in the factors affecting satisfaction with the police with both statistical methods and random forests analysis. The statistical results suggest a great amount of similarity in the effects of theoretically relevant factors across the two samples. The random forests analysis further points to the consistent importance of age, quality of life, and education in predicting public satisfaction. In addition, both analyses find that the effects of age and quality of life are stronger for the sample in the U.S. than those for the sample in Canada. This study suggests that police departments in these jurisdictions could effectively improve satisfaction with the police by addressing quality of life issues in their communities and improving their relationship with younger citizens and citizens with lower levels of education through better interactions. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
|---|