SavedAdd your journal

Journals / Alphanumeric Journal / 2017 / Cilt 5, Sayı 2, 2017

Investigation of Turkey's Provinces by Sexual Crimes

Türkiye’deki İllerin Cinsel Suçlar Açısından İncelenmesi

Hülya Şen
Kübra YAZICI
Pages
293–308
Publication Date
2017-12-09
DOI
—
🏛️Bibliographic metadata and full text access for this article are provided via DergiPark.
DergiPark Record ↗
✨

AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

According to the results of this analysis, the proinces were collected in 5 clusters.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:Sexual offenses are one of the most important indicators of social justice in criminal law.
📊
Key Findings & Data:In this context, for the purpose of the investigative purpose, the court is punishing the freedom by the court and producing statistics about the convicted index calculated according to the cases with the persons in the sentenced status in all the penal execution institutions affiliated to the Ministry of Justice between 2010 and 2015.
💡
Conclusion & Impact:According to the results of this analysis, the proinces were collected in 5 clusters.
🔬Design:Research Article
📍Scope:2010 Verileri
⚙️Variables:Kümeleme Analizi · Cinsel Suçlar · Yaşam Endeksi

Abstract

Sexual offenses are one of the most important indicators of social justice in criminal law. In this context, for the purpose of the investigative purpose, the court is punishing the freedom by the court and producing statistics about the convicted index calculated according to the cases with the persons in the sentenced status in all the penal execution institutions affiliated to the Ministry of Justice between 2010 and 2015. According to the results of this analysis, the proinces were collected in 5 clusters. Most of the provinces has been placed at fırst cluster. Analysis results were supported by Dendogram and Algomerative chart. According to the squared Euclidean distance used as distance in the analysis, the most similar illusions and the least similar ones were determined.

Özet

Bu çalışmanın amacı; Türkiye’de, 2010-2015 yılları arasında Türkiye’de işlenen cinsel suçlarla, kişilerin yaşam kalitelerinin ilişkili olup olmadığını araştırmaktır. Literatürde daha önce denenmemiş bir yöntem uygulanarak, illere göre derlenen verilerden nufüsa oranla bir endeks üretilerek kümeleme analizi uygulanmıştır. Daha sonar bu kümelere, illerin Yaşam Kalitesi Endeksi eklenerek, elde edilen kümelerle Yaşam Kalitesi Endeksleri sırası incelenmiştir. Analizler sonucunda; suç oranlarının herhangi coğrafi bağlı olmadığı ve sosyo-ekonomik koşullardanda etkili olmadığı tespit edilmiştir.

🔖

Cite This Article

Şen, H., YAZICI, K. (2017). Investigation of Turkey's Provinces by Sexual Crimes. Alphanumeric Journal, Cilt 5, Sayı 2, 2017, 293–308. https://ajindex.com/articles/63563

📄 Full Text PDF Viewer

📄

PDF görüntüleyici hazırlanıyor...

References (15)

  1. Arnio, A. N., & Baumer, E. P. (2012). Demography, foreclosure, and crime:: Assessing spatial heterogeneity in contemporary models of neighborhood crime rates. Demographic Research, 26, 449-488.
  2. Beckett, K., & Western, B. (2001). Governing social marginality: Welfare, incarceration, and the transformation of state policy. Punishment & Society, 3(1), 43-59.
  3. Steffensmeier, D., & Allan, E. (1996). Gender and crime: Toward a gendered theory of female offending. Annual review of sociology, 22(1), 459-487.
  4. Lochner, Lance. (2007), "Education and crime." University of Western Ontario 5.8 (2007): 1-14.
  5. LaFree, G. (1998). Losing legitimacy: Street crime and the decline of social institutions in America. Boulder, CO: Westview Press.
  6. Lynch, M. (2002). The culture of control: Crime and social order in contemporary society. PoLAR: Political and Legal Anthropology Review, 25(2), 109-112.
  7. Rosenfeld, R. (1986). Urban crime rates: Effects of inequality, welfare dependency, region, and race. The social ecology of crime, 116-130.
  8. Mehrizi, M.H.R. and Bontis, N. (2009). “A Cluster Analysis of The Km Field”, Management Decision, 47(5), pp. 792-805.
  9. Koltan, Ş. & Patır, S. (2011).Kümeleme Analizi ve Pazarlamada Kullanımı, Akademik Yaklaşımlar Dergisi, (2) 104-111
  10. Vatansever, M. (2008). Görsel Veri Madenciliği Tekniklerinin Kümeleme Analizlerinde Kullanımı ve Uygulanması, Yayınlanmamış Yüksek Lisans Tezi, İstanbul: Yıldız Teknik Üniversitesi Fen Bilimler Enstitüsü. Siegel, Larry J., (2003), Criminology (Eighth Edition), Belmont: Thomson Wadsworth Learning Inc. Hirschi, T., & Gottfredson, M. (1983). Age and the explanation of crime. American journal of sociology, 89(3), 552-584.
  11. Sackson, M. (1990). “The Use of Cluster Analysis for Business Game Performance Developments in Business”, Simulation & Experiential Exercises, 17, pp. 150-154.
  12. Suner, Aslı (2007), Application of a Population Based Study of Correspondence Analysis in Choosing A Health Institution. (Yayınlanmış yüksek lisans tezi). Dokuz Eylül Üniversitesi Fen Bilimler Enstitüsü İstatistik Anabilim Dalı, İzmir.
  13. Tatlıdil, Hüseyin (2002), Uygulamalı Çok Değişkenli İstatistiksel Analiz. Ankara: Ziraat Matbaacılık A. Ş. Ankara.
  14. Çekin N, Hilal A, Bilgin N, Alper B, Glmen KM, Sav- ran B, Sarca D. Adanada Ar Ceza Mahkemesine yan- syan cinsel sularn incelenmesi. Adli Tp Blteni, 1998; 3(3):81-5.
  15. ÖZDAMAR, K. (2004), Paket Programlar İle İstatistiksel Veri Analizi 2 ( Çok Değişkenli Analizler ), (5. Baskı), Eskişehir: Kaan Kitabevi. An