A Model Design for Determining Social Parameters and Their Importance Regarding Fear of Crime Levels
Aykut ÇalışkanThe concept of fear of crime has frequently been the subject of research on different residential areas and been discussed factually through its emotional, cognitive, and behavioral aspects. The multifaceted nature of the perspectives put forward regarding fear of crime makes singular evaluations limited. However, measuring fear of crime levels is both relative and brings limitations to theoretical evaluation and methodology discussions. Therefore, fear of crime research is significantly affected by parameter determination and model design processes. This study conducts scanning research on the social causes of the fear of crime phenomenon based on the importance of spatial reality in fear of crime research. At the same time, the study proposes a model design with regard to fear of crime measurements. In this way, the study attempts to understand and overcome the limitations restricting the individual evaluations of social phenomena from a sociological perspective. This research examines within its scope the assumptions of fear of crime approaches using the deductive reasoning technique and develops an analysis strategy and sets of variables based on an eclectic framework and social integration theory. The scaling process of the variable sets included in the research is based on a secondary data analysis. The study obtained and analyzed the open-source data on fear of crime and social integration levels from the Directorate General for Criminal Records and Statistics and the Turkish Statistical Institute. The study has been designed operationally based on the quantitative research method. The study identified the phenomenon of fear of crime and the importance of a change levels in its sociological determinants using a canonical correlation analysis based on the correlational research design. As a result of the analysis, the study discovered a change in fear of crime levels to be related to life satisfaction and migration levels. Subjecting settlements to fear of crime research and detailing the results based on the variables specified on a micro scale are considered useful as these can provide important results in terms of overcoming the research limitations and obtaining valid results.
Suç Korkusunun Toplumsal Parametreleri ile Önem Düzeylerinin Belirlenmesine Yönelik Model Tasarımı
Aykut ÇalışkanAlan yazında farklı yerleşim yerleri üzerinden sıklıkla araştırmalara konu edilen suç korkusu kavramı; duygusal, bilişsel ve davranışsal açıdan ele alınabilen nesnel bir araştırma alanıdır. Suç korkusuna yönelik geliştirilen bu bakış açılarının çok yönlü bir niteliğe sahip olması tekil değerlendirmeleri kısıtlı hale getirmektedir. Bununla birlikte suç korkusu düzeylerinin ölçülmesi kuramsal değerlendirme ve metodoloji tartışmalarına hem bağıl bir özellik göstermekte hem de sınırlılık getirmektedir. Dolayısıyla suç korkusu araştırmaları parametre tespiti ve model tasarımından önemli ölçüde etkilenmektedir. Bu çalışmada suç korkusu araştırmalarında mekânsal gerçekliğin önemi esas alınarak suç korkusu olgusunun toplumsal nedenleri üzerine bir tarama araştırması yapılmış, suç korkusu ölçümleri açısından model tasarımı önerilmiştir. Böylelikle toplumsal olguların tekil değerlendirmelerini kısıtlı hale getiren sınırlılıklar sosyolojik bakış açısından hareketle anlaşılmaya ve aşılmaya çalışılmıştır. Araştırmada kapsam olarak tümdengelimsel bir akıl yürütme tekniğiyle suç korkusu yaklaşımlarının sayıltıları incelenmiş, sosyal bütünleşme teorisinden hareketle eklektik bir çerçeve esas alınarak değişken setleri ve çözümleme stratejisi oluşturulmuştur. Araştırmada yer verilen değişken setlerinin ölçeklendirme süreci ikincil veri analizine göre gerçekleştirilmiş olup, suç korkusu ve sosyal bütünleşme düzeylerine ilişkin açık kaynak verileri Adli Sicil ve İstatistik Genel Müdürlüğü ile Türkiye İstatistik Kurumu’ndan elde edilmiştir. Çalışma operasyonel açıdan nicel araştırma yöntemi üzerine tasarlanmış, korelasyonel araştırma deseni esas alınarak suç korkusu olgusu ve sosyolojik belirleyicilerinin değişim düzeyleri kanonik korelasyon analiziyle tespit edilmiştir. Analiz sonucunda suç korkusu düzeylerindeki değişimin yaşam memnuniyeti ve göç etme düzeyleriyle ilişkili olduğu keşfedilmiştir. Yerleşim yerlerinin mikro ölçekte belirtilen değişkenlerden hareketle suç korkusu araştırmalarına konu edilmesinin ve detaylandırılmasının araştırmaların sınırlılığının aşılması ve geçerli sonuçlar elde edilmesi açısından önemli olduğu ortaya çıkarılmıştır.
The concept of the fear of crime has been researched in the literature on different residential areas and has a multidimensional content involving emotional, cognitive, and behavioral aspects. The phenomenon of the fear of crime has also been examined through models of vulnerability, social disorganization, and social integration. Although studies on fear of crime are not new in Türkiye, a significant part of the research has been carried out on a micro-scale. Moreover, fear of crime research reflects structural conditions within a certain period. These studies have focused on emotional and socioeconomic indicators and highlighted individual reasons. In this respect, these studies’ prominent features are that fear of crime research is related to locations and the research process. On the other hand, fear of crime studies being shaped according to the influence of the place of residence and the study’s theoretical perspective constitutes an important limitation in terms of producing generalizable results.
The multifaceted nature of the perspectives put forward regarding the phenomenon of fear of crime puts limits on singular evaluations. In addition, measuring fear of crime levels is both relative and brings limitations to theoretical evaluation and methodology discussions. This study primarily discusses the problem of how to measure the concept of fear of crime methodologically. Because no basic consensus on this issue is found in the literature, this study examines theoretical perspectives on scaling the concept of fear of crime. Research has shown fear of crime and perception of the risk of being victimized by crime to be affected by the social environment, one’s perception of being vulnerable to crime, and past experiences of crime victimization (Hale, 1996; Farrall et al., 2009; Doran & Burgess, 2012). The basic view regarding the social integration approach in fear of crime research is that individual attitudes are considered according to the degree of social integration (Gibson et al., 2002). In this regard, determining the social parameters of fear of crime based on the social integration approach and developing an equation are seen as important starting points to overcoming the limitations.
The research models the concept of fear of crime and the social components affecting through a multivariate structure. The scaling process of the variable sets included in the research is based on a secondary data analysis. The study then analyzes open source data on fear of crime and social integration levels from the Directorate General for Criminal Records and Statistics and the Turkish Statistical Institute and determines the phenomenon of fear of crime and the change in its sociological determinants’ levels using a canonical correlation analysis based on the correlational research design.
In this context, Table 1 shows the dependent variables, with the first dependent variable considered in defining the concept of fear of crime being the intensity of denouncement with respect to residential area in Türkiye. Another dependent variable included in the study is the rate of feeling unsafe while walking alone at night. An evaluation was made according to the assumptions of the social integration approach, due to the study’s aim of examining fear of crime through its social indicators (Adams & Serpe, 2020; Kanan & Pruitt, 2002) when determining the independent variables. The study investigated the importance levels of factors such as personal investment, social commitment, and social cohesion and determined that the variables included in the research have a high level of correlation. Therefore, the study then performed factor analysis to resolve the multicollinearity problem due to the high correlation among the independent variables. As a result of the factor analysis, the independent variables shown in Table 2 are understood to be gathered under three factors: life satisfaction, residential area population mobility, and emigration from residential area.
The variables of life satisfaction and emigration from the residential area are understood to be important based on the canonical correlation analysis results in Table 2. Among the independent variables in the model, life satisfaction has the highest impact, followed by emigration from the residential area. Further research should scale the distributions for the variables of life satisfaction and emigration from the residential specific to each settlement; afterward, measuring the levels of fear of crime at the emotional and behavioral levels is recommended. Modeling settlements according to the variables specified on a micro scale is thought to be able to provide important outputs for obtaining comparable results in terms of fear of crime measurements between areas.