Predictors of public support for police accreditation

Purpose This study aims to identify the predictors of public support for police accreditation under four different scenarios that vary based upon whether or not accreditation requires a property tax increase and whether or not local police support accreditation. Design/methodology/approach This study draws upon survey data from 998 US adults. Four binary logistic models are employed to assess support for accreditation under four different scenarios. Findings Individual-level factors, including age, education, race, region, generalized trust, political ideology, and volunteer experience, are important predictors of support for police accreditation depending on the scenario presented. Community-level factors including perceptions of police performance and perceptions of property taxes are also important predictors of support for police accreditation depending on the scenario presented. Support for police accreditation is highest when police accreditation does not require a property tax increase and when local police support accreditation. Sixty-six percent of respondents support police accreditation under this scenario. Originality/value This article represents the first published study on the predictors of support for police accreditation. The findings from this study have important implications for implementing police reform given recent calls by activists to both reform the police and to defund them.