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Keywords

Principal Component Analysis (PCA), multivariate, dominant factor, student study completion

Document Type

Article

Abstract

Failure to graduate on time is a problem for both the university and the students themselves. Beside the competencies possessed by students, many other factors affect the completion of student studies. This study aims to reduce the variables that really affect the completion of student studies. The approach of this research was survey research on students of the Mathematics Education Study Program at least in semester 7 (currently taking a final project course). There are 17 factors that determine the completion of student studies, namely achievement motivation, discipline, interest, intelligence, study habits, health, part-time work activities, organizational activities, curriculum, mentoring methods, student relations with lecturers, availability of books, internet facilities, family economic conditions, relationships with parents and family members, friends, and social environment. Data analysis was conducted using Principal Component Analysis (PCA) method to obtain the dominant factor. Based on the results of the study, four main factors that affect the completion of student studies are formed, namely: (1) the first factor: motivation and academic ability; (2) the second factor: activities and social environment; (3) the third factor: facilities and family; and (4) the fourth factor: thesis guidance. The four factors can explain the dominant factor in student study completion at 86.54%, with details of motivation and academic ability at 37.57%, activities and social environment at 26.34%, facilities and family at 15.21%, and thesis guidance at 7.42%.

Page Range

1-12

Issue

1

Volume

9

Digital Object Identifier (DOI)

10.21831/reid.v9i1.51081

Source

https://journal.uny.ac.id/index.php/reid/article/view/51081

References

Adzido, R. Y. N., Dzogbede, O. E., Ahiave, E., & Dorkpah, O. K. (2016). Assessment of family income on academic performance of tertiary students: The case of Ho Polytechnic, Ghana. International Journal of Academic Research in Accounting, Finance and Management Sciences, 6(3), 154-169. https://doi.org/10.6007/ijarafms/v6-i3/2221

Ainon, R., & Rosmaizura, M. Z. (2018). The impact of facilities on student choice. Sci.Int.(Lahore), 30(2), 299-311.

Akin, S., Calik, B., & Engin-Demir, C. (2017). Students as change agents in the community: Developing active citizenship at schools. Kuram ve Uygulamada Egitim Bilimleri, 17(3), 809-834. https://doi.org/10.12738/estp.2017.3.0176

Alamri, M. M. (2019). Students' academic achievement performance and satisfaction in a flipped classroom in Saudi Arabia. International Journal of Technology Enhanced Learning, 11(1), 103-119. https://doi.org/10.1504/IJTEL.2019.096786

Alani, F. S., & Hawas, A. T. (2021). Factors Affecting Students Academic Performance: A Case Study of Sohar University. Psychology and Education, 58(5), 4624-4635. http://psychologyandeducation.net/pae/index.php/pae/article/view/6697

Al-Muslimawi, I. A. J., & Hamid, A. A. (2019). External and internal factors affecting student's academic performance. The Social Sciences, 14, 155-168. https://doi.org/10.36478/sscience.2019.155.168

Amadi, G., & Kufre Paul, A. (2017). Influence of student-teacher communication on students' academic achievement for effective teaching and learning. American Journal of Educational Research, 5(10), 1102-1107. https://doi.org/10.12691/education-5-10-12

Ashraf, R., Godbey, J. M., Shrikhande, M. M., & Widman, T. A. (2018). Student motivation and perseverance: Do they explain college graduation? Journal of the Scholarship of Teaching and Learning, 18(3), 87-115. https://doi.org/10.14434/josotl.v18i3.22649

Balkis, M., Duru, E., & Bulus, M. (2013). Analysis of the relation between academic procrastination, academic rational/irrational beliefs, time preferences to study for exams, and academic achievement: A structural model. European Journal of Psychology of Education, 28(3), 825-839. https://doi.org/10.1007/s10212-012-0142-5

Bency, P. B. B. (2019). Achievement motivation and achievement of higher secondary students of Kanyakumari District. Shanlax International Journal of Education, 7(4), 56-62. https://doi.org/10.34293/education.v7i4.633

Blanz, M. (2017). Employees' job satisfaction: A test of the job characteristics model among social work practitioners. Journal of Evidence-Informed Social Work, 14(1), 35-50. https://doi.org/10.1080/23761407.2017.1288187

Bradley, D. (2005). Practicals in science education: A study of the theoretical bases, rationale, and implementation of practicals in Junior Secondary Science Education. Science and Mathematics Education Centre.

Brandt, J.-O. (2016). University students as change agents?: A comparative study of the role of students in higher education for sustainable development in Germany and Sweden. Uppsala University.

Brook, H., & Michell, D. (2014). Knowing student. In H. Brook, D. Fergie, M. Maeorg, & D. Michell (Eds.), Universities in transition: Foregrounding social contexts of knowledge in the first year experience (pp. 229-244). University of Adelaide Press.

Caruth, G. D. (2018). Student engagement, retention, and motivation: assessing academic success in today's college students. Participatory Educational Research, 5(1), 17-30. https://doi.org/10.17275/per.18.4.5.1

Curriculum Team from IndoMs. (2013). Recommendations for learning outcomes and minimum curriculum structure. Report. The Indonesian Mathematical Society-IndoMs.

Dallimore, E. J., Hertenstein, J. H., & Platt, M. B. (2008). Using discussion pedagogy to enhance oral and written communication skills. College Teaching, 56(3), 163-172. https://doi.org/10.3200/CTCH.56.3.163-172

Davidescu, A. A. M., Apostu, S. A., Paul, A., & Casuneanu, I. (2020). Work flexibility, job satisfaction, and job performance among romanian employees-Implications for sustainable human resource management. Sustainability (Switzerland), 12(15). https://doi.org/10.3390/su12156086

Filgona, J., Sakiyo, J., Gwany, D. M., & Okoronka, A. U. (2020). Motivation in learning. Asian Journal of Education and Social Studies, (September), 16-37. https://doi.org/10.9734/ajess/2020/v10i430273

Gadanya, M. A., & Ahmad, K. A. (2021). The influence of health on academic performance among secondary school students: A case study of an urban secondary school in Kano State, Nigeria. Dutse Journal of Pure and Applied Sciences (DUJOPAS), 7(2a), 286-293.

Garkaz, M., Banimahd, B., & Esmaeili, H. (2011). Factors affecting accounting students' performance: The case of students at the Islamic Azad university. Procedia - Social and Behavioral Sciences, 29(2010), 122-128. https://doi.org/10.1016/j.sbspro.2011.11.216

Gorsuch, R. L. (2014). Factor analysis (Classic). Routledge, Taylor & Francis.

Ha, N. T. T. (2021). Effects of learning style on students achievement: Experimental research. Linguistics and Culture Review, 5(S3), 329-339. https://doi.org/10.21744/lingcure.v5ns3.1515

Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2019). Multivariate data analysis (8th ed.). Cengage Learning.

Harb, N., & El-Shaarawi, A. (2006). Factors affecting students' performance. Journal of Business Education, 82(5), 282-290. https://mpra.ub.uni-muenchen.de/13621/

Härdle, W. K., & Simar, L. (2015). Applied multivariate statistical analysis (4th ed.). Springer-Verlag.

Hopson, L. M., Schiller, K. S., & Lawson, H. A. (2014). Exploring linkages between school climate, behavioral norms, social supports, and academic success. Social Work Research, 38(4), 197-209. https://doi.org/10.1093/swr/svu017

Islam, A., & Tasnim, S. (2021). An analysis of factors influencing academic performance of undergraduate students: A case study of Rabindra University, Bangladesh (RUB). Shanlax: International Journal of Education, 9(3), 127-135. https://doi.org/10.34293/education.v9i3.3732

James, M., & Yun, D. (2018). Exploring student satisfaction and future employment intentions: A case study examination: is there a link between satisfaction and getting a job? Higher Education, Skills and Work-Based Learning, 8(2), 117-133. https://doi.org/10.1108/HESWBL-03-2017-0019

Johnson, R., & Wichern, D. (2014). Applied multivariate statistical analysis. Pearson Education, Inc.

Jolliffe, I. T. (2002). Principal component analysis (2nd ed.). Springer.

Lemke, C., & Coughlin, E. (2011). The change agents. Educational Leadership, 67, pp. 54-59. ASCD.

Linder, C., & Kung, R. L. (2011). An exploratory study into the complexity of relations between physics lecturers' crafting of practice and students' expectations of quality teaching. Instructional Science, 39(4), 513-526. https://doi.org/10.1007/s11251-010-9136-3

Lodico, M. G., Spaulding, D. T., & Voegtle, K. H. (2006). Methods in educational research: From theory to practice. https://doi.org/10.1177/001312457500700301

Mundhe, E. (2021). A study of the influence of parents' education and income level on academic performance of the students. Aayushi International Interdisciplinary Research Journal (AIIRJ), V(III), 190-194.

Noble, J. P., Roberts, W. L., & Sawyer, R. L. (2006). Student achievement, behavior, perceptions, and other factors affecting ACT scores.

OECD. (2018). The future of education and skills: Education 2030. Organisation for Economic Co-operation and Development.

Olufemi, O. T., Adediran, A. A., & Oyediran, W. O. (2018). Factors affecting students' academic performance in colleges of education in Southwest, Nigeria. British Journal of Education, 6(10), 43-56. https://www.eajournals.org/journals/british-journal-of-education-bje/vol-6-issue10-october-2018/factors-affecting-students-academic-performance-in-colleges-of-education-in-southwest-nigeria/

Pascarella, E. T., Salisbury, M. H., & Blaich, C. (2011). Exposure to effective instruction and college student persistence: A multi-institutional replication and extension. Journal of College Student Development, 52(1), 4-19. https://doi.org/10.1353/csd.2011.0005

Ramadiani, R., Kurniawan, A., Arifin, Z., Jundillah, M. L., Alex, R., Azainil, A., & Hidayanto, A. N. (2020). Evaluation of student academic performance using e-learning with the association rules method and the importance of performance analysis. Journal of Physics: Conference Series, 1524(1), 012107. https://doi.org/10.1088/1742-6596/1524/1/012107

Raychaudhuri, A., Debnath, M., Sen, S., & Majumder, B. G. (2010). Factors affecting students' academic performance: a case study in Agartala Municipal Council area. Bangladesh E-Journal of Sociology, 7(2), 34-41.

Shrestha, N. (2021). Factor analysis as a tool for survey analysis. American Journal of Applied Mathematics and Statistics, 9(1), 4-11. https://doi.org/10.12691/ajams-9-1-2

Sprague, M., & Percy, R. C. (2014). The immediate and long-term impact of practicum experiences on students. Journal of Public Affairs Education, 20(1), 91-111. https://doi.org/10.1080/15236803.2014.12001773

Syamsuddin, R. (2021). Learning motivation. In Effective learning and teaching for ESP (pp. 1-32). ALVRA.

Tabachnick, B. G., & Fidell, L. S. (2013). Using multivariate statistics (6th ed.). Pearson.

Tang, J., Kim, S., & Haviland, D. (2013). Role of family, culture, and peers in the success of first-generation Cambodian American College students. Journal of Southeast Asian American Education and Advancement, 8(1), 2. https://doi.org/10.7771/2153-8999.1057

Toraman, Ç., Özdemir, H. F., Koşan, A. M. A., & Orakci, S. (2020). Relationships between cognitive flexibility, perceived quality of faculty life, learning approaches, and academic achievement. International Journal of Instruction, 13(1), 85-100. https://doi.org/10.29333/iji.2020.1316a

Watkins, M. W. (2018). Exploratory factor analysis: A guide to best practice. Journal of Black Psychology, 44(3), 219-246. https://doi.org/10.1177/0095798418771807

Yeomans, K. A. ., & Golder, P. A. (1982). The Guttman-Kaiser criterion as a predictor of the number of common factors. Journal of the Royal Statistical Society. Series D (The Statistician), 31(3), 221-229.

Zajacova, A., Lynch, S. M., & Espenshade, T. J. (2005). Self-efficacy, stress, and academic success in college. Research in Higher Education, 46(6), 677-706. https://doi.org/10.1007/s11162-004-4139-z

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