Structural Equation Modeling: The Influence of School Environment on Students' Interest in  Selecting State University

Justin Eduardo Simarmata; Ferdinandus Mone; Debora Chrisinta

doi:10.31764/jtam.v8i2.19921

Structural Equation Modeling: The Influence of School Environment on Students' Interest in Selecting State University

Justin Eduardo Simarmata, Ferdinandus Mone, Debora Chrisinta

Abstract

Despite prior research on student interest in colleges, this study focuses specifically on how the school environment, including individual factors, friends, and teachers, influences students' interest in attending a state university. Understanding these influences can help improve educational systems to better guide students towards higher education. This study aims to determine the influence of the school environment on students' interest in selecting a state university. This research employs a quantitative approach, utilizing structural equation modeling to analyze the relationships between variables. This study examines how a school environment, captured by twelve indicators across individual, friend, and teacher influences, impacts students' interest in state universities. Therefore, data retrieval based on questionnaires is designed accordingly based on latent variables. The sample in this study were 474 high school and vocational school students on the Indonesia-Timor Leste border, which is precisely located in Timor Tengah Utara Regency. The results showed that the school environment that came from individuals, partners, and teachers had a major influence on students' interest in choosing State University. Based on the analysis of structural equations, it was found that individual environments had a direct influence of 98%, partner environments had an indirect influence of 90%, and teachers also indirectly affected 71%. This study contributes to the field by quantifying the distinct influences of individual, peer, and teacher aspects of the school environment on students' interest in attending state universities. This knowledge can inform the development of targeted interventions to improve educational guidance and support student decision-making.

Keywords

School Environment; Interests; State University; Structural Equations Modelling.

Full Text:

DOWNLOAD [PDF]

References

Abramovich, S., Grinshpan, A. Z., & Milligan, D. L. (2019). Teaching mathematics through concept motivation and action learning. Education Research International, 1–13. https://doi.org/10.1155/2019/3745406.

Agrey, L., & Lampadan, N. (2014). Determinant factors contributing to student choice in selecting a university. Journal of Education and Human Development, 3(2), 391–404. https://tinyurl.com/yeymrzby.

Esra, M. E. Ş. E., & Sevilen, Ç. (2021). Factors influencing EFL students’ motivation in online learning: A qualitative case study. Journal of Educational Technology and Online Learning, 4(1), 11–22. https://tinyurl.com/y376swxh.

Fadillah, A., Sujana, S., & Ukartaatmadja, I. (2019). Kajian Minat Studi Lanjut Siswa-Siswi SMA dan SMK Kota Bogor Ke Perguruan Tinggi. JAS-PT (Jurnal Analisis Sistem Pendidikan Tinggi Indonesia), 3(1), 53–62. https://doi.org/10.31227/osf.io/6ms9z.

González-Pérez, L. I., & Ramírez-Montoya, M. S. (2022). Components of Education 4.0 in 21st century skills frameworks: systematic review. Sustainability 1493, 14(3). https://doi.org/10.3390/su14031493.

Hair Jr, J. F., Hult, G. T. M., Ringle, C. M., Sarstedt, M., Danks, N. P., & Ray, S. (2021). An introduction to structural equation modeling. In Partial least squares structural equation modeling (PLS-SEM) using R: a workbook (Issue 2). Classroom Companion: Business. Springer, Cham. https://doi.org/10.1007/978-3-030-80519-7_1.

Harlow, L. L. (2023). The Essence of Multivariate Thinking: Basic Themes and Methods (3rd Edition). Routledge. https://doi.org/10.4324/9780429269103.

Hatcher, L., & O’Rourke, N. (2013). A step-by-step approach to using SAS for factor analysis and structural equation modeling (Second Edition). SAS Institute Inc. https://tinyurl.com/yxjnvdsb.

Henderson, R. W., & Cunningham, L. (2023). Creating Interactive Sociocultural Environments for Self-Regulated Learning. In Self-regulation of Learning and Performance (1st Edition, p. 27). Routledge. https://doi.org/10.4324/9780203763353.

Jabeen, S., Siddique, M., Mughal, K. A., Khalid, H., & Shoukat, W. (2022). School Environment: A Predictor of Students’ Performance at Secondary Level in Pakistan. Journal of Positive School Psychology, 6(10), 2528–2552. https://mail.journalppw.com/index.php/jpsp/article/view/13710.

Jafari, P., & Aliesmaili, A. (2013). Factors influencing the selection of a university by high school students. Journal of Basic and Applied Scientific Research, 3(1), 696–703. https://api.semanticscholar.org/CorpusID:55603712.

Jiang, S., Simpkins, S. D., & Eccles, J. S. (2020). Individuals’ math and science motivation and their subsequent STEM choices and achievement in high school and college: A longitudinal study of gender and college generation status differences. Developmental Psychology, 56(11), 2137–2151. https://doi.org/10.1037/dev0001110.

Letawsky, N. R., Schneider, R. G., Pedersen, P. M., & Palmer, C. J. (2003). Factors influencing the college selection process of student-athletes: Are their factors similar to non-athletes. College Student Journal, 37(4), 604–611. https://tinyurl.com/428nyu6v.

Memon, M. A., Ramayah, T., Cheah, J. H., Ting, H., Chuah, F., & Cham, T. H. (2021). PLS-SEM statistical programs: a review. Journal of Applied Structural Equation Modeling, 5(1), 1–14. https://doi.org/10.47263/JASEM.5(1)06.

Mufida, A., & Effendi, Z. M. (2019). Pengaruh Pendapatan Orang Tua dan Prestasi Belajar Terhadap Minat Melanjutkan Pendidikan ke Perguruan Tinggi Pada Siswa Kelas XII Akuntansi SMK Negeri 2 Pariaman. Jurnal Ecogen, 2(4), 687–695. https://doi.org/10.24036/jmpe.v2i4.7846.

Nor, A. I. (2018). Factors Contributing to the Students’ Choice of University: A Case Study of Somali National University. Imperial Journal of Interdisciplinary Research (IJIR), 4(1), 49–55. https://doi.org/https://tinyurl.com/3ybsav67.

Noveli, A. F., Maksum, H., Nasir, M., & Hidayat, N. (2023a). Analisis Minat Siswa Melanjutkan Studi di Perguruan Tinggi Dalam Hubungannya dengan Motivasi Belajar dan Pendapatan Orang Tua. JTPVI: Jurnal Teknologi dan Pendidikan Vokasi Indonesia, 1(2), 217–226. https://doi.org/10.24036/jtpvi.v1i2.67.

Ode, Y., & Hiariey, A. H. (2024). The Analysis of Psychological Factors on Students’ Interest Towards the Independent Campus Internship Program Using Structural Equation Modeling Partial Least Square. 20(2), 467–483. https://doi.org/10.20956/j.v20i2.32190.

Proboyo, A., & Soedarsono, R. (2015). Influential factors in choosing higher education institution: A case study of a private university in Surabaya. Jurnal Manajemen Pemasaran, 9(1), 1–7. https://doi.org/10.9744/pemasaran.9.1.1-7.

Rosseel, Y. (2020). Small sample solutions for structural equation modeling. In Small sample size solutions. In A guide for applied researchers and practitioners (1st Edition, pp. 226–238). Routledge. https://doi.org/10.4324/9780429273872.

Schneider, M., & Deane, K. C. (Eds. ). (2014). The university next door: What is a comprehensive university, who does it educate, and can it survive? (Issue 1). Teachers College, Columbia University. https://tinyurl.com/mrnum6j2.

Simarmata, J. E., & Chrisinta, D. (2022). A Structural Equation Modelling Approach for College students Financial Literacy. Journal of Research in Mathematics Trends and Technology, 4(2). https://doi.org/10.32734/jormtt.v4i2.15849.

Siregar, N. C., Rosli, R., & Nite, S. (2023). Students’ interest in Science, Technology, Engineering, and Mathematics (STEM) based on parental education and gender factors. International Electronic Journal of Mathematics Education, 18(2), 1–8. https://doi.org/10.29333/iejme/13060.

Siregar, R. N. (2019). Analisis Faktor-Faktor Yang Mempengaruhi Mahasiswa Memilih Jurusan Tadris Matematika FTIK IAIN Padangsidimpuan. Jurnal Pendidikan Dan Pembelajaran Terpadu (JPPT), 1(2), 151–168. https://doi.org/10.32696/pgsd.v1i2.367.

Tandel, S. S., Jamadar, A., & Dudugu, S. (2019). Agrey, L., & Lampadan, N. (2014). Determinant factors contributing to student choice in selecting a university. Journal of Education and Human Development, 3(2), 391-404. 2019 5th International Conference on Advanced Computing & Communication Systems (ICACCS). IEEE , 1022–1026. https://doi.org/10.1109/ICACCS.2019.8728547.

Thakkar, J. J. (2020). Application for Research and Practice (with AMOS and R) (1st ed., Vol. 8, Issue 1, p. 1). Springer Singapore. https://doi.org/0.1007/978-981-15-3793-6.

Widiasmadi, N. (2023). Peningkatan daya dukung tanag litosol melalui distribusi mikroba dengan teknologi Smart Bioosildam. Journal Of Education, 5(3), 9498–9509. https://doi.org/10.31004/joe.v5i3.1821.

Yli-Panula, E., Jeronen, E., Koskinen, S., & Mäki, S. (2022). Finnish University Students’ views on climate change education and their own ability to act as climate educators. Education Sciences, 12(3), 169. https://doi.org/10.3390/educsci12030169.

Zhang, H. (2022). Structural Equation Modeling. In: Zhang, H. (eds) Models and Methods for Management Science. Springer. https://doi.org/10.1007/978-981-19-1614-4_10.

DOI: https://doi.org/10.31764/jtam.v8i2.19921