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Research Paper Volume 5 Issue 2 1884 - 1892 April 30, 2022

Quantitative Criminology: The Subject and the Differences from other Branches

Lead author · Corresponding
Mr. Sanjeev Ghanghash
Assistant Professor of Law at Galgotias University, India
View PDF Full text DOIhttps://doij.org/10.10000/IJLMH.113021
Abstract

The primary research tools of quantitative criminology can be used to investigate numerous causes of crime. Obtaining useful data is beneficial to society in a variety of ways. Criminal behaviour and social responses to criminal behaviour are studied using quantitative data. Crime research has traditionally relied heavily on quantitative data, even if other sorts of data have been employed to make significant contributions to criminological thought. For CCJ researchers, this document explains the many forms of quantitative data they are likely to encounter. Measurement and analysis of data obtained through polls or questionnaires as well as manipulation of pre-existing data using computer techniques are at the heart of quantitative methods. A robust foundation of descriptive data is necessary for sound quantitative criminology. In the field of criminology, descriptive inference proves to be particularly difficult. The nature of criminal behaviour necessitates a reliance on official records, but this might lead to erroneous judgments. However difficult it may be, researchers and politicians alike are still working to better understand how interventions, legislation, and personal experiences affect criminal behaviours.

Type
Research Paper
Information
International Journal of Law Management and Humanities, Volume 5, Issue 2, Page 1884 - 1892
DOI: https://doij.org/10.10000/IJLMH.113021
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CC BY-NC 4.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution–NonCommercial 4.0 International (CC BY-NC 4.0) (https://creativecommons.org/licenses/by-nc/4.0/), which permits remixing, adapting, and building upon the work for non-commercial use, provided the original work is properly cited.
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Copyright © IJLMH 2026
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The views and opinions expressed in this manuscript are those of the author(s) alone and do not reflect the views, policies, or position of the Journal.

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