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University of Missouri--Kansas City

Applications of multivariate analysis to understand the dynamics of African conflicts

Abstract

dc:description.abstract

Africa that is known for the birthplace of humanity has become a continent of all kind of devastating conflicts. This is a major concern because these conflicts are having lasting negative impact on the socioeconomic development of the continent and can lead to its gradual destruction with irreparable consequences such as the loss of African diverse cultures, values and traditions. Thus, it becomes urgent to understand the complexity and the dynamics of conflicts in Africa from different perceptive in order to handle conflict issues effectively and efficiently. Our statistical study primary goal is to bring Africa complex issues structure to a simple one in order to uncover the interaction and behavior of factors involved in a conflict multidimensional process and to facilitate the monitoring and the management of conflicts that can promote the national unity and the regional integration, stabilize the African continent and boost the socioeconomic and political development. In this dissertation, we use quantitative data from a secondary source named SCAD (Social Conflict Analysis Database). SCAD contains conflict events such as protests, riots, strikes, inter-communal conflict, government violence against civilians, and other forms of social conflicts reported on 48 African countries from 1990 to 2017. In our multivariate analysis, we found first that there is a strong association between conflict event and conflict issue. Second, there is a significant association between conflict escalation and repression. Third, the average number of ethnic and discrimination issues in former French colonies is higher than the average number of ethnic and discrimination issues in former Britain colonies. Our statistical approach helps to classify predictor variables according to their interrelation and to predict the number of conflicts in Africa. Results in this dissertation may be useful in reducing conflicts in Africa and advance the cause of humanity and of science.

Degree

thesis:*
Name thesis:degree_name
Ph.D. (Doctor of Philosophy)
Level thesis:degree_level
Doctoral
Discipline thesis:degree_discipline
Mathematics (UMKC)
Grantor
University of Missouri--Kansas City
Year dc:date.issued
2020

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Ekpoh, Yawo Mawuli
Advisors dc:contributor.advisor
  • Rekab, Kamel
  • Bowles, Doug (Douglas Henri), 1952-

Identifiers

dc:identifier.*
Handle dc:identifier.uri
https://hdl.handle.net/10355/75783
OAI identifier oai:identifier
oai:mospace.umsystem.edu:10355/75783

Chain of custody

source
Harvested from
University of Missouri - Kansas City
Base URL
mospace.umsystem.edu/oai/request
Last updated
2026-07-24
Source record
OAI-PMH GetRecord
related terms
citation

Ekpoh, Yawo Mawuli. Applications of multivariate analysis to understand the dynamics of African conflicts. Doctoral thesis, University of Missouri--Kansas City, 2020. https://hdl.handle.net/10355/75783