Testing for Individual Factors for the Fear of Crime Using a Multiple Indicator-Multiple Cause Model

被引:18
|
作者
Abdullah, Aldrin [1 ]
Marzbali, Massoomeh Hedayati [1 ]
Woolley, Helen [2 ]
Bahauddin, Azizi [1 ]
Maliki, Nor Zarifah [1 ]
机构
[1] Univ Sains Malaysia, Sch Housing Bldg & Planning, George Town 11800, Malaysia
[2] Univ Sheffield, Dept Landscape, Sheffield S10 2TN, S Yorkshire, England
关键词
Fear of crime; Incivilities; MIMIC model; Social disorganisation; Victimisation; SOCIAL DISORGANIZATION THEORY; PHYSICAL-ENVIRONMENT; MULTILEVEL ANALYSIS; PERCEIVED RISK; NEIGHBORHOOD ATTACHMENT; COLLECTIVE EFFICACY; GENDER-DIFFERENCES; BUILT ENVIRONMENT; VICTIMIZATION; PERCEPTIONS;
D O I
10.1007/s10610-013-9208-4
中图分类号
DF [法律]; D9 [法律];
学科分类号
0301 ;
摘要
In the extant literature, very few studies have simultaneously examined the impact of individual attributes, neighbourhood disorder and social cohesion on an individual's fear of crime. This article addresses the use of multiple-indicator, multiple-cause (MIMIC) analysis for testing different variables related to the fear of crime based on a number of theories. Face-to-face interviews with residents of a high-crime council estate were conducted to examine the crime rate, disorder, cohesion and the fear of crime in the participants' residential area. The results support the incivilities thesis and the vulnerability hypothesis, while the social disorganisation theory was partially supported. It was concluded that women and the elderly demonstrate higher levels of fear than men and the nonelderly and that crime, disorder and social cohesion have a direct effect on one's level of fear, as the decreases in neighbourhood cohesion increase the individuals' levels of fear. In addition, people who have been victimised and those who perceive higher levels of incivility were found to be more fearful of crime. By incorporating the three theories, the final model is able to account for 50 % of the variance in the fear of crime.
引用
收藏
页码:1 / 22
页数:22
相关论文
共 31 条
  • [1] Testing for Individual Factors for the Fear of Crime Using a Multiple Indicator-Multiple Cause Model
    Aldrin Abdullah
    Massoomeh Hedayati Marzbali
    Helen Woolley
    Azizi Bahauddin
    Nor Zarifah Maliki
    European Journal on Criminal Policy and Research, 2014, 20 : 1 - 22
  • [2] Testing for Nonuniform Differential Item Functioning With Multiple Indicator Multiple Cause Models
    Woods, Carol M.
    Grimm, Kevin J.
    APPLIED PSYCHOLOGICAL MEASUREMENT, 2011, 35 (05) : 339 - 361
  • [3] Fear of crime in Brisbane - Individual, social and neighbourhood factors in perspective
    McCrea, R
    Shyy, TK
    Western, J
    Stimson, RJ
    JOURNAL OF SOCIOLOGY, 2005, 41 (01) : 7 - 27
  • [4] Adolescent fear of crime: Testing Ferraro's risk interpretation model
    Krulichova, Eva
    Podana, Zuzana
    EUROPEAN JOURNAL OF CRIMINOLOGY, 2019, 16 (06) : 746 - 766
  • [5] For whom did telework not work during the Pandemic? understanding the factors impacting telework satisfaction in the US using a multiple indicator multiple cause (MIMIC) model
    Tahlyan, Divyakant
    Said, Maher
    Mahmassani, Hani
    Stathopoulos, Amanda
    Walker, Joan
    Shaheen, Susan
    TRANSPORTATION RESEARCH PART A-POLICY AND PRACTICE, 2022, 155 : 387 - 402
  • [6] VICTIMIZATION, FEAR OF CRIME, AND PERCEIVED RISK: TESTING A VULNERABILITY MODEL OF PERSONAL CONTROL
    Shippee, Nathan D.
    SOCIOLOGICAL PERSPECTIVES, 2012, 55 (01) : 117 - 140
  • [7] Fear from a distance: testing a new model of psychological distance and fear of crime
    Mellberg, Jacques
    Chataway, Michael L.
    Ball, Matthew J.
    PSYCHOLOGY CRIME & LAW, 2024,
  • [8] An Israeli Model for Predicting Fear of Terrorism Based on Community and Individual Factors
    Shechory-Bitton, Mally
    Cohen-Louck, Keren
    JOURNAL OF INTERPERSONAL VIOLENCE, 2020, 35 (9-10) : 1888 - 1907
  • [9] Examining Possible Determinants of Kinesiology Students' Social Physique Anxiety: A Multiple Indicator Multiple Independent Cause Model
    Guan, Jianmin
    Xiang, Ping
    Land, William
    Cordova, Alberto
    PERCEPTUAL AND MOTOR SKILLS, 2025, 132 (02) : 315 - 331
  • [10] Comparing multiple statistical software for multiple-indicator, multiple-cause modeling: an application of gender disparity in adult cognitive functioning using MIDUS II dataset
    Chang, Chi
    Gardiner, Joseph
    Houang, Richard
    Yu, Yan-Liang
    BMC MEDICAL RESEARCH METHODOLOGY, 2020, 20 (01)