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


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).


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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.


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How to Cite
Birdawod H. Using Factor Analysis to Determine the Most Important Factors Affecting Student Absenteeism at Cihan University- Erbil. cuesj [Internet]. 10Jul.2022 [cited 21May2024];6(2):1-. Available from:
Research Article