PUBLIC CONFIDENCE IN THE POLICE A Time-Series Analysis

被引:32
|
作者
Sindall, Katy [1 ]
Sturgis, Patrick [1 ]
Jennings, Will [1 ]
机构
[1] Sch Social Sci, Div Sociol & Social Policy, Southampton SO17 1BJ, Hants, England
来源
BRITISH JOURNAL OF CRIMINOLOGY | 2012年 / 52卷 / 04期
基金
英国经济与社会研究理事会;
关键词
confidence in policing; time-series regression analysis; British Crime Survey; UNIT-ROOT; CRIME; TRUST; DYNAMICS; FEAR; PREFERENCES; DISORDER; IMPACT;
D O I
10.1093/bjc/azs010
中图分类号
DF [法律]; D9 [法律];
学科分类号
0301 ;
摘要
Empirical analyses of the causes of public confidence in policing have been based almost entirely on cross-sectional survey data, with a consequent focus on between-group differences in levels of confidence at a single point in time. Our aim here is to introduce a time dimension to this area of investigation. Employing repeated cross-sectional survey data from the British Crime Survey, we apply time-series regression methods to show how confidence in policing changes over time for the aggregate population. Counter to cross-sectional findings, time-series analyses reveal that confidence in the police is not related to aggregate worry about crime and perceptions of social cohesion, nor informal social control, but only to perceptions of crime and the property crime rate.
引用
收藏
页码:744 / 764
页数:21
相关论文
共 50 条
  • [41] A time-series analysis of gasoline prices and public transportation in US metropolitan areas
    Lane, Bradley W.
    [J]. JOURNAL OF TRANSPORT GEOGRAPHY, 2012, 22 : 221 - 235
  • [42] Public support for vigilantism, confidence in police and police responsiveness
    Haas, Nicole E.
    de Keijser, Jan W.
    Bruinsma, Gerben J. N.
    [J]. POLICING & SOCIETY, 2014, 24 (02): : 224 - 241
  • [43] AN EXAMINATION OF THE ACCURACY OF JUDGEMENTAL CONFIDENCE-INTERVALS IN TIME-SERIES FORECASTING
    OCONNOR, M
    LAWRENCE, M
    [J]. JOURNAL OF FORECASTING, 1989, 8 (02) : 141 - 155
  • [44] NEW CONFIDENCE-INTERVAL ESTIMATORS USING STANDARDIZED TIME-SERIES
    GOLDSMAN, D
    SCHRUBEN, L
    [J]. MANAGEMENT SCIENCE, 1990, 36 (03) : 393 - 397
  • [45] Time-series evidence on the nonlinearity hypothesis for public spending
    Mittnik, S
    Neumann, T
    [J]. ECONOMIC INQUIRY, 2003, 41 (04) : 565 - 573
  • [46] TIME-SERIES ANALYSIS FOR AMBIENT CONCENTRATIONS
    GONZALEZMANTEIGA, W
    PRADASANCHEZ, JM
    CAO, R
    GARCIAJURADO, I
    FEBREROBANDE, M
    LUCASDOMINGUEZ, T
    [J]. ATMOSPHERIC ENVIRONMENT PART A-GENERAL TOPICS, 1993, 27 (02): : 153 - 158
  • [47] A Primer for Microbiome Time-Series Analysis
    Coenen, Ashley R.
    Hu, Sarah K.
    Luo, Elaine
    Muratore, Daniel
    Weitz, Joshua S.
    [J]. FRONTIERS IN GENETICS, 2020, 11
  • [48] Spectral analysis of time-series data
    Gregson, RAM
    [J]. CONTEMPORARY PSYCHOLOGY-APA REVIEW OF BOOKS, 1999, 44 (04): : 306 - 309
  • [49] An international study on public confidence in police
    Morris, Camie
    [J]. POLICE PRACTICE AND RESEARCH, 2015, 16 (05) : 416 - 430
  • [50] TOPICS IN ADVANCED TIME-SERIES ANALYSIS
    SOLO, V
    [J]. LECTURE NOTES IN MATHEMATICS, 1986, 1215 : 165 - 328