Using the linear and non-linear discriminant function with cluster analysis to study the level of education for the completed stages (governmental – private) In Nineveh Governorate
Section: Research Paper
Abstract
Abstract:The basic idea of this research is to study the influential variables that led to the differences between the performance of public and private schools, and through the use of some linear statistical methods, which are the function of discriminatory analysis and nonlinear methods represented by the function of logistic regression and cluster analysis, where the comparison between the two groups of public and community schools and know the appropriateness of each of the methods used with the applied data of the study community, which includes data The finished stage for the school year(2018-2019) of each of the schools (primary- middle- preparatory(Bio)) in the Nineveh Governorate Education Directorate, to determine the group and the best stage in addition to identifying the variables that affect the performance in order to reach improvement and standardization of the educational path.
References
- Abbas and Ali Khudair, (2012), Using logistic regression in predicting functions with qualitative dependent economic variables, Kirkuk University Journal of Administrative and Economic Sciences, Volume (2), Issue (2), p. 240.
- Abed and Yasser Abdullah, (2015), A comparative study between statistical methods to study the factors affecting polygamy in the Palestinian territories, a thesis to complete the requirements for obtaining a masters degree in statistics, Al-Azhar University, Gaza, p. 22.
- Adly and Ibrahim, Mohamed Aboushkan, (2014), Using binary logistic regression in the interpretation of two-valued dependent variables in the field of physical and sports activities, Journal of Science and Practice of Sports and Artistic Physical Activities, No. 06, University of Algiers, October, pp. 2-3.
- Ahmed, Talib, (2015), Classification of Syrian governorates according to household consumption expenditure using cluster analysis, Tishreen University Journal for Research and Scientific Studies, Economic and Legal Sciences Series, Volume (37), Issue (2), pp. 15-55.
- Al-Jaouni, Adnan Ghanem, Farid Khalil, (2011), Using the two-response logistic regression technique in studying the most important economic and social determinants of family income adequacy, Damascus University Journal of Economic and Legal Sciences, Department of Applied Statistics, Faculty of Economics, Volume (27), Issue (1), Damascus, p. 119.
- Al-Makhloufi, Fouad Abdo Ismail, (2012), Classifying and distinguishing Yemeni governorates according to individual sources of income using the two methods of cluster analysis and discriminatory analysis, Office of Research and Publication, Al-Nasser University, Sanaa, Yemen, p. 11.
- Al-Shukrji, Dhanoun Younis, Naimi and Aswan Muhammad Tayeb, (2008), Construction of the Discrimination Function Depending on the Variables of Regression Analysis, Tikrit Journal of Administrative and Economic Sciences, Issue (8).
- Copper ,R. and A. Jweaks ,(1984),Data Models and Statistic Analysis, New York: Philip Allan Publisher Limited.
- Dakhil and Taher Raisan, Zainab Yousef Daoud, (2014), Using characteristic analysis to determine the importance of factors affecting newborns with jaundice, University of Al-Qadisiyah, Iraq, p.5.
- Dakhil and Taher Risan, Hind Jawad Kazem, (2009), A comparative study between basic schools and non-basic schools in a governorate, Al-Qadisiyah Journal of Administrative and Economic Sciences, Iraq, Volume (11), Number (1), pp. 175-174.
- Fisher ,R,A,(1936) the use of multiple measurements in taxonomic problems ,Annals of Eugenics 7, pp179-188.
- Hashim Ahmed Suleiman, Aed Muhammad Shafiq, (2012), The function of physical differentiation for middle school students in the city of Mosul, Al-Rafidain Journal of Mathematical Sciences, No. (58).
- Ibrahim Mohamed Ibrahim Sayed Ahmed, (2010), Comparison between the multiple linear regression model and the discriminatory function model, a complementary research for obtaining a masters degree in applied statistics, Sudan University of Science and Technology, College of Graduate Studies, Sudan.
- Lea, Stephen(1997), Multivariate Analysis II: Manifest Variables Analysis. Topic 4:Logistic Regression and Discriminant Analysis. University Of Exeter Department of Psychology. Revised
- Michael, W., Berry,(2001) Survey of Text Mining :Clustering, Classification and Retrieval ,John Wiley & Sons ,UK.
- Muthanna Subhi Suleiman, Riyad Mahmoud Salih, (2012), Employment of cluster analysis and the nearest neighbor method to identify patterns with application to groundwater quality in Nineveh Governorate, Iraqi Journal of Statistical Sciences, Issue (21).
- Rasheed, Aseel Abdel-Razzaq and Mahdi, Nabaa Naim, (2011), Analysis of education and education impacts using cluster analysis methods, Al-Qadisiyah Journal of Administrative Sciences, Statistical Axis, Volume (14), Issue (2), p. 197.
- Suhaila Hammoud Abdullah Al-Farhoud, (2014), Using logistic regression to study the factors affecting the performance of stocks, Al-Azhar Journal, College of Commercial Studies, Department of Statistics, Kuwait, p. 54.
- Wilson, L. & Hardgrave, C.(1995), Predicting Graduate Student Success in an MBA Program: Regression Versus Classification. Education and Psychological Measurement, 55(2),April ,pp186-195.
Identifiers
Download this PDF file
Statistics
How to Cite
Abed Al-Kareem, A., صفوان, Rashed, S., & زینة. (2025). Using the linear and non-linear discriminant function with cluster analysis to study the level of education for the completed stages (governmental – private) In Nineveh Governorate. IRAQI JOURNAL OF STATISTICAL SCIENCES, 18(1), 88–98. Retrieved from https://rjps.uomosul.edu.iq/index.php/stats/article/view/20670
