Quantitative Criminology: An Evaluation of Sources of Crime Data

Refat Aljumily

Quantitative Criminology: An Evaluation of Sources of Crime Data

Refat Aljumily *

Contact

Quantitative Criminology: An Evaluation of Sources of Crime Data

Article Fingerprint

ReserarchID

3KZA0

Quantitative Criminology: An Evaluation of Sources of Crime Data Banner

Key Research Insights

Synthesized scholarly intelligence & interactive research assistant

This converted HTML version may contain rendering inconsistencies. Please refer to the PDF for the authoritative version, or click here to provide feedback.

Abstract

Crime data is at the heart of quantitative criminology research in particular and social science research in general. In the past years, many sources of crime data have been proposed to understand, describe and explain crime and criminality, but never before have the majority of these sources been tested using a huge number of crimes and applying different multivariate methods. A large-scale analysis and comparison of various sources of crime data is crucial if current analytical methods are to be used effectively and if new and more powerful methods are to be developed. This article presents the results of a comparison of the four main sources of crime data commonly used in quantitative criminology, in order to determine the best data source that can tell the whole truth about the extent or the true level of crime occurring in a society. Based on the results of these tests, a more comprehensive approach to measure crime is proposed, which represents all categories of crime and covers the offences committed. The result of the analysis is empirically-based, objective, and replicable evidence which can be used in conjunction with existing literature on the quantitative methods in criminology.

References

20 Cites in Article

Reference Format

1. K Anil,Richard Jain,Dubes (1988). Algorithms for Clustering Data. Algorithms for Clustering Data
2. Jonathan Grossman,Ami Pedahzur (2016). The Quantitative Study of Terrorist Events: Challenges and Opportunities. Quantitative Criminology
3. Ronald Dantzker,Hunter (2000). Research Methods for Criminology and Criminal Justice. Research Methods for Criminology and Criminal Justice
4. B Everitt,S Landau,Leese,M (2001). Cluster Analysis. Cluster Analysis
5. Hermann Moisl (2015). Cluster Analysis for Corpus Linguistics. Cluster Analysis for Corpus Linguistics
6. J Larry,Siegel (2012). Criminology. Criminology
7. M Maxfield (1995). Research methods For Criminal Justice and Criminology. Research methods For Criminal Justice and Criminology
8. Rachel Boba (2012). Crime Analysis with Crime Mapping. Crime Analysis with Crime Mapping
9. Teuvo Kohonen (2001). Self-Organizing Maps. Self-Organizing Maps
10. (2015). Different Worlds the Spatial, Temporal and Social Dimensions of Female Victimization. Crime, Policing and Place, 176-207.
11. Chris Mckee (2014). Home Office Statistical Bulletin, 21 January 2010: Crime in England and Wales, Quarterly update to September 2009. Home Office Statistical Bulletin, 21 January 2010: Crime in England and Wales, Quarterly update to September 2009
12. Gavin Berman,Aliyah Dar (2013). Prison Population Statistics. Social and general statistics. Prison Population Statistics. Social and general statistics
13. Gov,Uk (2014). XLS Prison Population. XLS Prison Population
14. Gov,Uk (2013). Prison Population Statistics. Prison Population Statistics
15. John Flatley (2015). Statistical Bulletin: Crimes in England and wales, year ending. Statistical Bulletin: Crimes in England and wales, year ending
16. (2014). The Study of Statistics in Criminal Justice. Statistics for Criminal Justice and Criminology in Practice and Research: An Introduction, 1-20.
17. (2012). National Statistics: Crimes Detected in England and Wales 2011 to 2012: Statistics, crime outcomes in England and wales statistics and-others. National Statistics: Crimes Detected in England and Wales 2011 to 2012: Statistics, crime outcomes in England and wales statistics and-others
18. (2012). Official Statistics: Prison Population Figures. Official Statistics: Prison Population Figures
19. Official Statistics: Crimes outcomes in England and wales 2013 to 2014: Data Tables. Official Statistics: Crimes outcomes in England and wales 2013 to 2014: Data Tables
20. (2013). Crimes in England and wales. Crimes in England and wales

Download References

Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

Refat Aljumily. 2016. "Quantitative Criminology: An Evaluation of Sources of Crime Data". Global Journal of Human-Social Science - C: Sociology & Culture GJHSS-C Volume 16 (GJHSS Volume 16 Issue C4).

More Citation Formats

Select Citation Style:

Download Citation

GJHSS Volume 16 Issue C4

Explore Journals Explore Volume Read This Issue

Journal Specifications

Crossref Journal DOI 10.17406/GJHSS

Print ISSN 0975-587X

e-ISSN 2249-460X

Keywords

Not Found

Classification

GJHSS-C Classification FOR Code: 160299

Submission ReceivedDecember 13, 2015
Peer Review Double Blind
Handling Editor
Accepted January 1, 2016
Published January 15, 2016

Version of record

v1.2

Issue date

August 3, 2016

Language

English

Order Article Reprint

Experience in AR

Explore published articles in an immersive Augmented Reality environment. Our platform converts research papers into interactive 3D books, allowing readers to view and interact with content using AR and VR compatible devices.

Read in 3D

Your published article is automatically converted into a realistic 3D book. Flip through pages and read research papers in a more engaging and interactive format.

Article Matrices

Total Score: 131

Country: United Kingdom

Subject: Global Journal of Human-Social Science - C: Sociology & Culture

Authors: Refat Aljumily (PhD/Dr. count: 0)

View Count (all-time): 390

Total Views (Real + Logic): 1052

Total Downloads (simulated): 59

Publish Date: 2016 01, Fri

Monthly Totals (Real + Logic):

Month 1: 27 views
Month 2: 41 views
Month 3: 49 views
Month 4: 46 views
Month 5: 25 views
Month 6: 58 views
Month 7: 38 views
Month 8: 41 views
Month 9: 39 views
Month 10: 55 views
Month 11: 34 views
Month 12: 29 views
Month 13: 33 views
Month 14: 31 views
Month 15: 18 views
Month 16: 39 views
Month 17: 29 views
Month 18: 14 views
Month 19: 30 views
Month 20: 30 views
Month 21: 33 views
Month 22: 23 views
Month 23: 42 views
Month 24: 27 views
Month 25: 30 views
Month 26: 43 views
Month 27: 32 views
Month 28: 24 views
Month 29: 16 views
Month 30: 21 views
Month 31: 25 views
Month 32: 35 views
Month 33: 34 views
Month 34: 19 views
Month 35: 48 views
Month 36: 31 views
Month 37: 31 views
Month 38: 39 views
Month 39: 31 views
Month 40: 33 views
Month 41: 27 views
Month 42: 25 views
Month 43: 17 views
Month 44: 34 views
Month 45: 14 views
Month 46: 33 views
Month 47: 32 views
Month 48: 40 views
Month 49: 35 views
Month 50: 29 views
Month 51: 35 views
Month 52: 34 views
Month 53: 33 views
Month 54: 27 views
Month 55: 28 views
Month 56: 18 views
Month 57: 44 views
Month 58: 33 views
Month 59: 31 views
Month 60: 43 views
Month 61: 21 views
Month 62: 31 views
Month 63: 14 views
Month 64: 29 views
Month 65: 35 views
Month 66: 13 views
Month 67: 28 views
Month 68: 16 views
Month 69: 34 views
Month 70: 15 views
Month 71: 31 views
Month 72: 28 views
Month 73: 32 views
Month 74: 21 views
Month 75: 32 views
Month 76: 46 views
Month 77: 26 views
Month 78: 33 views
Month 79: 29 views
Month 80: 33 views
Month 81: 41 views
Month 82: 26 views
Month 83: 34 views
Month 84: 29 views
Month 85: 31 views
Month 86: 28 views
Month 87: 27 views
Month 88: 41 views
Month 89: 30 views
Month 90: 34 views
Month 91: 32 views
Month 92: 32 views
Month 93: 45 views
Month 94: 34 views
Month 95: 24 views
Month 96: 40 views
Month 97: 37 views
Month 98: 22 views
Month 99: 19 views
Month 100: 37 views
Month 101: 29 views
Month 102: 35 views
Month 103: 15 views
Month 104: 26 views
Month 105: 28 views
Month 106: 44 views
Month 107: 30 views
Month 108: 44 views
Month 109: 19 views
Month 110: 35 views
Month 111: 39 views
Month 112: 29 views
Month 113: 39 views
Month 114: 59 views
Month 115: 59 views
Month 116: 46 views
Month 117: 46 views
Month 118: 36 views
Month 119: 36 views
Month 120: 18 views
Month 121: 44 views
Month 122: 27 views
Month 123: 26 views
Month 124: 18 views
Month 125: 34 views
Month 126: 45 views
Month 127: 58 views
Month 128: 42 views
Month 129: 52 views
Month 130: 50 views

Total Views: 1.1K

Total Downloads: 59

All Trends