Use of selected types of crime analysis in modern criminological science


  • Vasyl Topchii University of the State Fiscal Service of Ukraine, Irpin, Ukraine
  • Oksana Topchii Taras Shevchenko National University of Kyiv, Kyiv, Ukraine
  • Maksym Zabarniy State Fiscal Service of Ukraine in Kyiv, Kyiv, Ukraine
  • Nataliіa Karpenko Main Pre-Trial Proceedings Department of the National Police of Ukraine, Kyiv, Ukraine
  • Ihor Hrytsiuk University of the State Fiscal Service of Ukraine, Irpin, Ukraine


correlation analysis, criminological analysis, criminological monitoring, factor analysis, multifactorial analysis


The article considers methods of analysis of criminological significant information, which are used in modern criminological science. Based on the analytical study, it was concluded that at the current stage of the development of criminological science, regression (as a type of mathematical method), factor (causal), and monitoring criminological analysis are most often used. These methods of criminological analysis were analyzed, their advantages and disadvantages were determined, their recommendations for their application in criminological science were given. It was established that the use of regression analysis is not found in many criminological studies, but today this direction has been updated due to the increase in crime rates both in Ukraine and in the world. However, in criminology, this direction is now one of the promising in the formation of crime prevention measures. It has been proved that most often this type of criminological analysis is used as monitoring. It is quite often used in criminological research by analyzing statistical reporting, which is publicly available to law enforcement agencies (in particular, on the official website of the Office of the Prosecutor General). In this regard, science identifies types of monitoring analysis, which is most often used in our country.


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Alexandrov, Yu.V., Hel, A.P., & Semakov, H.S. (2002). Criminology. Kyiv: MAUP.

Anderson, P. R., & Newman, D. J. (1993). Introduction to criminal justice. McGraw-Hill College.

Bakhrushin, V. E. (2011). Data analysis methods: a textbook for students. Zaporizhzhia: Classical Private University.

Baranovsky, M. (2014). Factors of spatial differentiation of crime in Ukraine. Journal of Socio-Economic Geography, 17, 32-36.

Bubyakina, A.A. (2019). Econometric modeling of the influence of social and economic factors on the crime situation in the Republic of Sakha (Yakutia). International Research Journal , (6-2 (84)).

Danshyn, I.M. (1993). The notion, negative consequences and identification methods of latent crimes. In Latent Crime: Knowledge, Politics, Strategy (pp. 232-234). Moscow: Russian Research Institute of the Ministry of Internal Affairs of Russia.

Groce, M., & Hoodkinson, T. M. (2019). Translation in slang based on the translator of ideology: critical discourse analysis. Applied Translation, 13(2), 16–23. Retrieved from

Havruk, V.O. (2018). Method of factor analysis in criminology. Scientific Bulletin of Uzhhorod National University. Law Series, 51, 103-107.

Iberla, K. (1980). Factor analysis. Translated from German VM Ivanova. Moscow. Statistics.

Kleck, G., Tark, J., & Bellows, J. J. (2006). What methods are most frequently used in research in criminology and criminal justice?. Journal of Criminal Justice, 34(2), 147-152.

Kucherova, S.V., & Potekhina, A.V. (2014). Application of factor analysis for the study of crime based on socio-economic indicators. Internet Journal Naukovedenie, 2, 51-59.

Kudryavtsev, V.N., & Eminov, V.E. (1995). Criminology: textbook. Moscow: Yurist.

Kulyk, O. H. (2011). Crime in Ukraine: tendencies, regularities, methods of knowledge. Kyiv: Yurinkom Inter, 304 p.

Kuri, G. (1993). International comparative study of population victimization. In Latent Crime: Knowledge, Politics, Strategy (pp. 73-102). Moscow: Russian Research Institute of the Ministry of Internal Affairs of Russia.

Ling, C. P., Noor, N. M. M., & Mohd, F. (2017). Knowledge representation model for crime analysis. Procedia computer science, 116, 484-491.

Makarenko, N.K. (2015). The ways to identify the level of professional crime latency. Scientific Bulletin of the National Academy of Internal Affairs, 4(97), 33-42.

Melashchenko, O.P., & Roh, V.Ye. (2019). Application of regression analysis in criminological research. In Theoretical Issues of Jurisprudence and Problems of Law Application: Challenges of the XXI century (pp. 168-170). Kharkiv: Scientific Institute of Public Policy and Social Studies.

Merzlyakov, S.Z., & Sakharov A.B. (1992). Latent crime and methods of its research: lecture. Moscow: Moscow University of the Ministry of Internal Affairs of Russia.

Miller, A.B. (2001). What are the causes and conditions of crimes? Law of Ukraine, 5, 89-92.

Mohamed, M. S., & Rosman, A. S. B. (2021). The criminal protection of public employees in the united Arab emirates law compared with Islamic law. Linguistics and Culture Review, 5(S3), 154-160.

Morozova, M.V. (2015). Economic analysis of factors affecting the crime rate in Ukraine. Youth Economic Bulletin of Semen Kuznets Kharkiv National University of Economics, 2, 51-54.

Nahak, S. (2017). Penal mediation policy of land criminal offense resolution in the outer courts of Indonesia. International Research Journal of Engineering, IT & Scientific Research, 3(2), 123-130. Retrieved from

Obolentsev, V.F. (2005). Latent crime: problems of the theory and prevention practice. Kharkiv: FO Vapnyarchuk, N.M.

Orlov, Yu. (2018). Methods of criminological studies.

Ozkan, T. (2019). Criminology in the age of data explosion: New directions. The social science journal, 56(2), 208-219.

Pankratov, VV (1972). Metodologiya i metodika kriminologicheskikh issledovaniy [Methodology and techniques of criminological research]. Moscow: Yuridicheskaya literatura .

Popovich, V.M. (1999). Theoretical and methodological level of elaboration of the problem of latency of crimes. Law of Ukraine, 2(11), 107.

Pratt, T. C., & Godsey, T. W. (2002). Social support and homicide: A cross-national test of an emerging criminological theory. Journal of Criminal Justice, 30(6), 589-601.

Ribaux, O., & Margot, P. (1999). Inference structures for crime analysis and intelligence: the example of burglary using forensic science data. Forensic Science International, 100(3), 193-210.

Ribaux, O., Walsh, S. J., & Margot, P. (2006). The contribution of forensic science to crime analysis and investigation: forensic intelligence. Forensic science international, 156(2-3), 171-181.

Rocque, M., Welsh, B. C., & Raine, A. (2012). Biosocial criminology and modern crime prevention. Journal of Criminal Justice, 40(4), 306-312.

Schneider, G. J. (1994). Criminology. Moscow: Progress Universe.

Semakov, H.S. (1999). Criminology: course of lectures. Kyiv: MAUP.

Shvedun, V. O., & Khlamov, S. V. (2016). Statistical Modelling For Determination Of Perspective Number Of Advertising Legislation Violations. Aktual'ni Problemy Ekonomiky= Actual Problems in Economics, (184), 389.

Smiyan, L.S., & Nikitin, Yu.V. (2010). Criminology. Kyiv: National Academy of Management.

Sorensen, J., & Pilgrim, R. (2002). The institutional affiliations of authors in leading criminology and criminal justice journals. Journal of Criminal Justice, 30(1), 11-18.

Sukhodolov, A. P., Ivantsov, S. V., Molchanova, T. V., Spasennikov, B. A., & Kaluzhina, M. A. (2018). Digital Criminology: Mathematical Methods of Prediction (Part 1). Russian Journal of Criminology, 12(2), 230-236.

Sutton, J. E. (2010). A review of the life-events calendar method for criminological research. Journal of Criminal Justice, 38(5), 1038-1044.

Utarov, K. A. (2004). Matematicheskie metody v kriminologii. Kand. Diss.[Mathematical methods in criminology. Cand. Diss.]. Moscow.

Vitsin, S. E. (1993). Assessment of latent crime based on statistical models. In Latent Crime: Knowledge, Politics, Strategy (pp. 237-239). Moscow: Russian Research Institute of the Ministry of Internal Affairs of Russia.

Widana, I.K., Sumetri, N.W., Sutapa, I.K., Suryasa, W. (2021). Anthropometric measures for better cardiovascular and musculoskeletal health. Computer Applications in Engineering Education, 29(3), 550–561.

Wilson, L., & Boratto, R. (2020). Conservation, wildlife crime, and tough-on-crime policies: Lessons from the criminological literature. Biological Conservation, 251, 108810.

Yasmin, M. (2016). Legal liability in standard form of contract. International Research Journal of Engineering, IT & Scientific Research, 2(9), 51-58. Retrieved from

Zabarniy, M., Topchii, V., Korniakova, T., Topchii, O., & Topchii, V. (2021). Criminological analysis of determinants of criminal behavior. Linguistics and Culture Review, 5(S4), 1483-1499.

Zvekic, U., & Del Frate, A. A. (Eds.). (2004). Criminal victimisation in the developing world. DIANE Publishing.



How to Cite

Topchii, V., Topchii, O., Zabarniy, M., Karpenko, N., & Hrytsiuk, I. (2021). Use of selected types of crime analysis in modern criminological science. Linguistics and Culture Review, 5(S4), 1636-1652.



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