Using Factor Analysis to Determine the Most Important Factors Affecting Student Absenteeism at Cihan University- Erbil

Keywords: Absenteeism factors, factor analysis, component method, principle component method, Cihan University-Erbil

Abstract

The review of the relevant literature reveals that the issue of absenteeism among students was not new. The researcher intended to explore the factors affecting absenteeism and to find a solution to solve this issue. For this purpose, a mixed methods research was designed. To analyze this problem, both quantitative and qualitative research methods were adopted in this study. In quantitative approach a close ended questionnaire was developed to collect data. The sample comprised of 470 students out of total population of (4892). A descriptive and inferential statistical techniques were used to analyze the data. ‎Transcriptions were analyzed through Thematic Description Approach under the qualitative ‎methods using IBM SPSS version 25.0. The results revealed significant factors of the phenomenon. It was delimited to the Cihan University-Erbil only, but the findings can be generalized all over Kurdistan Region, because of the many similarities in our educational system (examination, large scale assessment and resources).

Downloads

Download data is not yet available.

Author Biography

Hawkar Q. Birdawod, Department of Business Administration, Cihan University-Erbil, Kurdistan Region, Iraq

Hawkar Q. Birdawd is a Lecturer at the Department of Business Administration, College of Administrative and Financial Science, Cihan University - Erbil. He got the B.Sc. degree in Statistics, the M.Sc. degree in Statistics/ Missing Data and the Ph.D. degree in Statistics/ Image Processing. His research interests are in Factor Analysis, And Absenteeism. Dr. Hawkar is a Council member of Iraqi Kurdistan Economist Syndicate Society.

References

Ajzen. Attitudinal vs. normative messages: An investigation of the differential effects of persuasive communications on behavior. Sociometry, vol. 34, no. 2, pp. 263-280, 1971.

K. V. Mardia, J. T. Kent and J. M. Bibby. Multivariate Analysis. London, England: Academic Press, 1979.

N. H. Mahmood, S. H. Murad and K. K. Kakamad. Ordinal logistic regression for students academic performance in Kurdistan region of Iraq. Information Management and Business Review, vol. 10, no. 2, pp. 17-22, 2018.

D. H. Kadir and A. W. Omer. Implementing analysis of ordinal regression model on student’s feedback response. Cihan University-Erbil Journal of Humanities and Social Sciences, vol. 5, no. 1. pp. 45-49, 2021.

N. H. Mahmood, D. H. Kadir and H. Q. Birdawod. The full factorial design approach to determine the attitude of university lecturers towards e-learning and online teaching due to the covid-19 pandemic. Cihan University-Erbil Scientific Journal, vol. 6, no. 1. pp. 20-25, 2022.

H. Blbas and D. H. Kadir. An application of factor analysis to identify the most effective reasons that university students hate to read books. International Journal of Innovation, Creativity and Change, vol. 6, no. 2, pp. 251-265, 2019.

T. W. Anderson. An Introduction to Multivariate Statistical Analysis. 2nd ed. New York: John Wiley and Sons, 1984.

W. R. Dillon and M. Goldstein. Multivariate Analysis methods and Application. New York: John Wiley and Sons, 1984.

R. Balfanz and V. Byrnes. The importance of being in school: A report on absenteeism in the nation’s public schools. The Education Digest, vol. 78, no. 2, p. 4, 2012.

P. Kousalya, V. Ravindranath and K. Vizayakumar. Student absenteeism in engineering colleges: Evaluation of alternatives using AHP. Advances in Decision Sciences, vol. 2006, p. 058232, 2006.

S. M. Abdelrahman and A. M. Abdelkader. The influencing factors of absenteeism among nursing students. Journal of Nursing Education and Practice, vol.7, no. 10, p. 64, 2017.

C. Chatfield and A. J. Collins. Introduction to Multivariate Analysis. London: Chapman and Hall, 1982.

T. H. Kayyali. A Study of the Application of Cluster Analysis Models with A Comparison with the Factor Analysis Method, A Master’s Thesis Submitted to the Statistics Department-College of Administration and Economics. Iraq: Al-Mustansiriya University, 1989.

M. A. Al-Nuaimi. Econometric Theory. Iraq: Al-Mustansiriya University, 1991.

K. M. Al-Rawi. Introduction to Regression Analysis. 1st ed. Iraq: Mosul University, Directorate of Dar Al-Kutub for Printing and Publishing, 1987.

L. E. Kirk. The Use of Multiple Analysis in Diagnosing Gallbladder Diseases and the Factors Affecting it, A Master’s Thesis Submitted to the Department of Statistics College of Administration and Economics. Erbil: Salah al-Din University, 2002.

H. Q. Yalda. Using Factor Analysis to Study the Factors Affecting Some Diseases of the Nervous System, a Master’s Thesis Submitted to the Department of Statistics College of Administration and Economics. Erbil: Salah al-Din University, 2000.

N. Nkansah, S. Ninson, B. F. Owusu and O. L. Prempeh. The Impact of Absenteeism on the Academic Performance of Pupils of Ebom-Bomfa JHS. Unpublished Dissertation. University of Cape Coast, 2017.

J. A. Al-Mahdawi. An Analytical Statistical Study on the Factors Affecting Juvenile Delinquency, a Master’s Thesis Submitted to the Department of Statistics, College of Administration and Economics. Iraq: University of Baghdad, 1987.

N. Wadesango and S. Machingambi. Causes and structural effects of student absenteeism: A case study of three South African Universities. Journal of Social Sciences, vol. 26, no. 2, pp. 89-97, 2011.

A. Al-Sabawi. Organizational Knowledge and its impact on Determining the Entrances to the Formulation of Strategy: A Field Study of the Opinions of Senior Management in a Sample of Joint Stock Companies in the City of Mosul. Rafidain Development Journal, College of Administration and Economics University of Mosul, 1999.

G. Pehlivan. The school absenteeism among high school students: Contributing factors. Educational Sciences: Theory and Practice, vol. 16, no. 6, pp. 5-17, 2016.

H. Q. Pirdawd. Transformed and solving multi-objective linear programming problems to single-objective by using correlation technique. Cihan International Journal of Social Science, vol. 1, pp. 30-36, 2017.

Published
2022-07-10
How to Cite
1.
Birdawod H. Using Factor Analysis to Determine the Most Important Factors Affecting Student Absenteeism at Cihan University- Erbil. cuesj [Internet]. 10Jul.2022 [cited 18Aug.2022];6(2):1-. Available from: https://journals.cihanuniversity.edu.iq/index.php/cuesj/article/view/661
Section
Research Article