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Confirmatory factor analysis of an inventory of perception of insecurity and fear of crime

机译:对不安全感和对犯罪的恐惧感清单的验证性因素分析

摘要

This paper focuses on the study of the factorial structure of an inventory to estimate the subjective perception of insecurity and fear of crime. Made from the review of the literature on the subject and the results obtained in previous works, this factor structure shows that this attitude towards insecurity and fear of crime is identified through a number of latent factors which are schematically summarized in (a) personal safety, (b) the perception of personal and social control, (c) the presence of threatening people or situations, (d) the processes of identity and space appropriation, (e) satisfaction with the environment, and (f) the environmental and the use of space. Such factors are relevant dimensions to analyze the phenomenon. Method: A sample of 571 participants in a neighborhood of Barcelona was evaluated with the proposed inventory, which yielded data from the distributions of all the items provided. The administration was conducted by researchers specially trained for it and the results were analyzed by using standard procedures in the confirmatory factor analysis (CFA) from the hypothesized theoretical structure. The analysis was performed by decatypes according to the different response scales prepared in the inventory and their ordinal nature, and by estimating the polychoric correlation coefficients. The results show an acceptable fit of the proposed model, an appropriate behavior of the residuals and statistically significant estimates of the factor loadings. This would indicate the goodness of the proposed factor structure.
机译:本文重点研究清单的阶乘结构,以估计对不安全和对犯罪的恐惧的主观感知。通过对有关该主题的文献进行回顾,以及先前工作中获得的结果,这种因素结构表明,人们对不安全感和对犯罪的恐惧态度是通过许多潜在因素确定的,这些潜在因素在(a)人身安全中得到了概括性说明, (b)个人和社会控制的感知;(c)存在威胁性的人或环境;(d)身份和空间占用的过程;(e)对环境的满意度;以及(f)环境和使用空间。这些因素是分析现象的相关维度。方法:使用提议的清单评估了巴塞罗那附近地区571名参与者的样本,该清单从提供的所有物品的分布中产生了数据。给药是由经过专门培训的研究人员进行的,其结果通过假设的理论结构在验证性因子分析(CFA)中使用标准程序进行了分析。根据清单中准备的不同响应量表及其序数性质,通过十进制进行分析,并估算多态相关系数。结果表明所提出模型的可接受性,残差的适当行为以及因素负荷的统计显着估计。这将表明所提出的因素结构的优越性。

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