Validation of a Google Street View-Based Neighborhood Disorder Observational Scale
Validation of a Google Street View-Based Neighborhood Disorder Observational Scale
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DOI：
10.1007/s11524-017-0134-5
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发表时间：
2017-04-01
影响因子：
6.6
通讯作者：
Lopez-Quilez, Antonio
中科院分区：
文献类型：
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作者：
Marco, Miriam;Gracia, Enrique;Lopez-Quilez, Antonio
最近，人们越来越有兴趣开发新的工具，利用新兴技术的好处来测量社区特征。这项研究旨在评估使用谷歌街景(GSV)的邻里障碍观察量表的心理测量学特性。两组评价员对西班牙巴伦西亚市一个区的所有人口普查区组(N=92)进行了社区无序的虚拟审计。为了验证该工具，进行了四种不同的分析。首先，通过组内相关系数评估评分者之间的可靠性，表明评分者之间的一致性水平有所缓和。其次，验证性因素分析检验了量表的潜在结构。提出了一个双因素解决方案，包括一个一般因素(一般邻里关系障碍)和两个特定因素(身体障碍和身体衰退)。第三，用实物审计分数对虚拟审计分数进行评估，发现两种审计方法之间存在正相关关系。此外，还评估了因子得分与社会经济和犯罪指标之间的相关性。最后，我们分析了尺度因素的空间自相关性，并运用两个完全贝叶斯空间回归模型研究了这些因素对毒品相关警察干预和青少年罪犯干预的影响。所有这些指标都显示出与普遍的邻里关系紊乱有关。综上所述，研究结果表明，基于GSV的邻里障碍量表是一种使用新技术评估邻里障碍的可靠、简明、有效的工具。
Recently, there has been a growing interest in developing new tools to measure neighborhood features using the benefits of emerging technologies. This study aimed to assess the psychometric properties of a neighborhood disorder observational scale using Google Street View (GSV). Two groups of raters conducted virtual audits of neighborhood disorder on all census block groups (N = 92) in a district of the city of Valencia (Spain). Four different analyses were conducted to validate the instrument. First, inter-rater reliability was assessed through intraclass correlation coefficients, indicating moderated levels of agreement among raters. Second, confirmatory factor analyses were performed to test the latent structure of the scale. A bifactor solution was proposed, comprising a general factor (general neighborhood disorder) and two specific factors (physical disorder and physical decay). Third, the virtual audit scores were assessed with the physical audit scores, showing a positive relationship between both audit methods. In addition, correlations between the factor scores and socioeconomic and criminality indicators were assessed. Finally, we analyzed the spatial autocorrelation of the scale factors, and two fully Bayesian spatial regression models were run to study the influence of these factors on drug-related police interventions and interventions with young offenders. All these indicators showed an association with the general neighborhood disorder. Taking together, results suggest that the GSV-based neighborhood disorder scale is a reliable, concise, and valid instrument to assess neighborhood disorder using new technologies.