Using cluster analysis to assess the dimensions of the HDI in Iraq for 2006

Kasim, Jaafer; Fron, Hisham; Yaqub, Haitham

	Using cluster analysis to assess the dimensions of the HDI in Iraq for 2006
Journal of Research Diyala humanity
Article 1, Volume 0, Issue 49, 2017, Pages 625-649
Authors
jaafer kasim; hisham fron; haitham yaqub
Abstract
lacks the central sources of our libraries and research on the use of cluster analysis Hence the research problem to add a new source of workers and students on how to use it in various fields. This research aims to reveal the possibility of applying cluster analysis to analyze a lot of problems and phenomena, including the statistical variables of human development. The Frdita Find zero Slovakia included: - H01 does not have significant differences in the classification of the provinces between the groups according to the variables of the dimensions of development: human in Iraq H02 no significant differences between the variables of the HDI in Iraq, according to the provinces: the Iraqi Have been identified with the search through the application of cluster analysis on the reality of the human development index in Iraq in 2006 and classified by the provinces, which were obtained from the national report of the state of human development in Iraq, 2008 and issued by the Ministry of Planning and Development Cooperation in Iraq. The research variables Vcmmelt (directory life expectancy, user literacy, gross enrollment rate of the user, the user per capita gross domestic product and user education) Statistical method and using hierarchical (Spss 18) The researchers found using a program (K-means cluster analysis) and method of averages (Hierarchical cluster analysis ) To the following results: - groups first second third fourth governorates Duhouk,Slaimania,Arbil Basrah,Thi-qar,Salah Al-Deen,Wasit,Kerbela,Babil,Kirkuk,Nineweh Missan,Al-Muthanna,AL-Qadisiya,Al-Najaf Baghdad,Al-Anbar,Diala 1 - provinces were classified into four groups depending on the scale of square Euclidean distance (Square Euclidean distance), as shown in the table below: - Group I II III IV Province of Dahuk, Sulaymaniyah, Erbil, Basra, Dhi Qar, Salah al-Din, Wasit, Karbala, Babil, Kirkuk, Nineveh, Maysan, Muthanna, Qadisiyah, Najaf, Baghdad, Anbar, Diyala 2 - classification of evidence of human development in Iraq into four groups depending on the value of the simple correlation coefficient (Simple correlation coefficient) has been shown that the highest correlation coefficient simple was between user education and user literacy and this correlation centrifugal realistic as an increase in user education will lead to increase literacy 3 - There are important differences between provinces in the classification of aggregates according to dimensions of human development variables. 4 - There were significant differences between the variables of the human development index, according to the provinces, as follows: - A - Group A provinces (Dahuk, Sulaymaniyah, Irbil) represent the best provinces in terms of variables (life expectancy of the user, user enrollment total, user per capita gross domestic product) and we believe this because of the unstable security situation and the high standard of living of these provinces. B - Group D governorates (Baghdad, Diyala, Anbar) is the best provinces in terms of (directory of literacy, user education). The reason, as we have seen is to increase the culture of the provinces and the high standard of living of its population and being close to the center (the capital) and in which there are schools and universities, and proximity to the model of civilization.
Keywords
Cluster analysis in Iraq for

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