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Factor Analysis of Crime Data

Md.Siraj- Ud- Doulah, Charls Darwin, Ummi Salma, Md.Abdul Hamid, Mosfaka Aktar


Crime analysis is an act implementation function that includes organized investigation for increasing clarifications to crime problems, and articulating crime stoppage outlines. The main part of crime analysis process is the quantitative social science data analysis methods, though qualitative methods for instance inspecting police report tales also performance a character. This paper analyses US crime data by applying multivariate factor analysis techniques that was engaged to describe the association between the crimes and to define the classification of the crimes variables. The outcome has exposed a strong positive association among EX0, EX1 and W variables; strong negative association between X and W variables as well as others four variables, ED with W revealed moderate positive correlation as well as ED with X demonstrated moderate negative correlation. The experimental results of various factors analysis methods to form three groups, group one consist of EX0, EX1, W, R and ED variables, group two consist of U1, U2, M, N and LF variables, group three consist of Age, NW, S and X variables are depicted various table and graphs. The factor analyses have recommended recollecting 4 elements that describe approximately 84.40 % of the entire unpredictability of crime data.


Factor Analysis, KMO test, Bartlett’s test, Factor plot, Clustering Diagram, Omega Analysis, Factor Map.

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