PENDEKATAN STRUCTURAL EQUATION MODELING UNTUK PENELITIAN PENDIDIKAN

Rosyid Ridlo Al Hakim, Hexa Aprilia Hidayah

Abstract


Abstrak. Structural equation modeling (SEM) merupakan salah satu sudut pandang pendekatan statistik yang digunakan untuk berbagai penelitian. SEM dapat menguji hipotesis melalui uji hubungan antar-variabel. Penelitian bidang pendidikan telah menjadi tren tersendiri dalam penggunaan SEM. Artikel ini merupakan artikel mini-review yang berusaha menggambarkan sejauh mana penelitian bidang pendidikan menggunakan pendekatan SEM dalam analisis statistiknya. Tahapan mini-review terdiri atas studi literatur terkait, identifikasi judul, skrining abstrak, seleksi artikel lengkap, dan ulasan mini-review. Terdapat rentang penelitian pendidikan antara 2005−2020 yang menggunakan SEM sebagai pendekatan statistiknya dan berbagai jumlah variabel latent serta alasan-alasan menggunakan SEM dijabarkan dalam mini-review ini.

Kata kunci: analisis statistik; e-learning; pembelajaran; regresi linear.

 

Abstract. Structural equation modeling (SEM) is one of the statistical approaches used for various studies. SEM can test the hypothesis by trying the relationship between variables. Education research has become a distinct trend in the use of SEM. This article is a mini-review article that attempts to describe the extent to which research in the field of education uses the SEM approach in its statistical analysis. The mini-review stage consists of a study of related literature, title identification, abstract screening, full article selection, and mini-review review. A range of educational research between 2005−2020 uses SEM as a statistical approach, and various numbers of latent variables and reasons for using SEM are described in this mini-review.

Keywords: e-learning; learning; linear regression; statistical analysis.


Full Text:

PDF 1-7

References


Al Hakim, R. R. (2022). Perilaku Harian dan Profil Demografi Mempengaruhi Kenaikan Tagihan Listrik Selama Covid-19 di Indonesia: Pendekatan SEM-PLS. AKUA: Jurnal Akuntasi Dan Keuangan, 1(1), 68–76. https://journal.yp3a.org/index.php/akua/article/view/217

Al Hakim, R. R., Satria, M. H., Arief, Y. Z., Pangestu, A., Jaenul, A., Hertin, R. D., & Nugraha, D. (2021). Aplikasi Algoritma Dijkstra dalam Penyelesaian Berbagai Masalah. EXPERT: Jurnal Manajemen Sistem Informasi Dan Teknologi, 11(1), 42–47. https://doi.org/10.36448/expert.v11i1.1939

Anam, A. K., Rumiati, A. T., & Ratnasari, V. (2020). Klasterisasi Mutu Pendidikan SMA di Indonesia dan Analisis Pola Hubungan Antar Standar Nasional Pendidikan pada Masing-Masing Klaster Menggunakan SEM-PLS. Jurnal Sains Dan Seni ITS, 9(2), D2018–D2215.

Appuhamilage, K. S. M., & Torii, H. (2019). The impact of loyalty on the student satisfaction in higher education: A structural equation modeling analysis. Higher Education Evaluation and Development, 13(2), 82–96. https://doi.org/10.1108/HEED-01-2019-0003

Dhaliwal, M. S., Aggarwal, A., & Chand, P. K. (2019). Determining the Factors Affecting the Selection of Private Universities and Colleges in Indian Context: A Structural Equation Modeling Approach. Journal of Advanced Research in Dynamical and Control Systems, 11(Special Issue-08), 2579–2590.

Elkaseh, A. M., Wong, K. W., & Fung, C. C. (2016). Perceived Ease of Use and Perceived Usefulness of Social Media for e-Learning in Libyan Higher Education: A Structural Equation Modeling Analysis. International Journal of Information and Education Technology, 6(3), 192–199. https://doi.org/10.7763/IJIET.2016.V6.683

Fidani, A., & Idrizi, F. (2012). Investigating Students’ Acceptance of a Learning Management System in University Education: A Structural Equation Modeling Approach. ICT Innovations 2012 Web Proceedings, 311–320.

Ghasemy, M., Teeroovengadum, V., Becker, J. M., & Ringle, C. M. (2020). This fast car can move faster: a review of PLS-SEM application in higher education research. Higher Education, 80(6), 1121–1152. https://doi.org/10.1007/s10734-020-00534-1

Hamid, R. S., & Anwar, S. M. (2019). Structural Equation Modeling (SEM) Berbasis Varian: Konsep Dasar dan Aplikasi dengan Program SmartPLS 3.2.8 dalam Riset Bisnis. PT Inkubator Penulis Indonesia.

Insani, A. S., Hoyyi, A., & Rahmawati, R. (2014). ANALISIS FAKTOR-FAKTOR YANG MEMPENGARUHI KEPUASAN MAHASISWA DALAM PEMILIHAN JURUSAN MENGGUNAKAN STRUCTURAL EQUATION MODELING (SEM) (Studi Kasus di Jurusan Statistika Universitas Diponegoro Semarang). Jurnal Gaussian, 3(4), 537–546. https://doi.org/10.14710/J.GAUSS.V3I4.7961

Koç, T., Turan, A. H., & Okursoy, A. (2016). Acceptance and usage of a mobile information system in higher education: An empirical study with structural equation modeling. The International Journal of Management Education, 14(3), 286–300. https://doi.org/10.1016/J.IJME.2016.06.001

Lin, H. M., Lee, M. H., Liang, J. C., Chang, H. Y., Huang, P., & Tsai, C. C. (2019). A review of using partial least square structural equation modeling in e-learning research. British Journal of Educational Technology, 0(0), 1–19. https://doi.org/10.1111/bjet.12890

Maison, Syahrial, Syamsurizal, & Tanti. (2019). Learning Environment, Students’ Beliefs, and Self-Regulation in Learning Physics: Structural Equation Modeling. Journal of Baltic Science Education, 18(3), 389–403. https://doi.org/10.33225/jbse/19.18.389

Makkadafi, S. P., Corebima, A. D., & Rohman, F. (2017). PENGEMBANGAN MODUL EVOLUSI PRIMATA INDONESIA BERDASARKAN HASIL PENELITIAN BAGI MAHASISWA S1 PENDIDIKAN BIOLOGI. Jurnal Pendidikan: Teori, Penelitian, Dan Pengembangan, 2(8), 1087–1091. https://doi.org/10.17977/JPTPP.V2I8.9838

Makransky, G., & Lilleholt, L. (2018). A structural equation modeling investigation of the emotional value of immersive virtual reality in education. Educational Technology Research and Development, 66(5), 1141–1164. https://doi.org/10.1007/S11423-018-9581-2

Mardiana, N., & Faqih, A. (2019). MODEL SEM-PLS TERBAIK UNTUK EVALUASI PEMBELAJARAN MATEMATIKA DISKRIT DENGAN LMS. BAREKENG: Jurnal Ilmu Matematika Dan Terapan, 13(3), 157–170. https://doi.org/10.30598/barekengvol13iss3pp157-170ar898

Monecke, A., & Leisch, F. (2012). semPLS: Structural Equation Modeling Using Partial Least Squares. Journal of Statistical Software, 48(3), 1–32.

Nawanir, G., Binalialhajj, M., Teong Lim, K., & Hanafiah Ahmad, M. (2019). Becoming Lean: The Way towards Sustainability of Higher Educations Institutions. KnE Social Sciences, 2019, 603–626. https://doi.org/10.18502/kss.v3i22.5078

Rahmat, R. A. A. O. K., & Osman, K. (2012). From Traditional to Self-Regulated Learners: UKM Journey Towards Education 3.0. Procedia - Social and Behavioral Sciences, 59, 2–8.

Rugutt, J. K., & Chemosit, C. C. (2005). A Study of Factors that Influence College Academic Achievement: A Structural Equation Modeling Approach. Journal of Educational Research & Policy Studies, 5(1), 66–90.

Rusadi, B. E., Widiyanto, R., & Lubis, R. R. (2019). ANALISIS LEARNING AND INOVATION SKILLS MAHASISWA PAI MELALUI PENDEKATAN SAINTIFIK DALAM IMPLEMENTASI KETERAMPILAN ABAD 21. Conciencia, 19(2), 112–131. https://doi.org/10.19109/CONCIENCIA.V19I2.4323

Salloum, S. A., & Shaalan, K. (2018). Factors Affecting Students’ Acceptance of E-Learning System in Higher Education Using UTAUT and Structural Equation Modeling Approaches. In A. Hassanien, M. Tolba, K. Shaalan, & A. Azar (Eds.), Proceedings of the International Conference on Advanced Intelligent Systems and Informatics 2018 (Vol. 845, pp. 469–480). Springer, Cham. https://doi.org/10.1007/978-3-319-99010-1_43

Soelaiman, N. F., Ahmad, S. S. S., Mohd, O., Al Hakim, R. R., &

Hidayah, H. A. (2022). Modeling the civil servant discipline in Indonesia: partial least square-structural equation modeling approach. Asean International Journal of Business, 1(1), 43–58. https://doi.org/10.54099/aijb.v1i1.72

Sridharan, B., Deng, H., Kirk, J., & Corbitt, B. (2010). Structural equation modeling for evaluating the user perceptions of E-learning effectiveness in higher education. ECIS 2010 Proceedings, Paper 59.

Tarhini, A., Deh, R. M., Al-Busaidi, K. A., Mohammed, A. B., &

Maqableh, M. (2017). Factors influencing students’ adoption of e-learning: A structural equation modeling approach. Journal of International Education in Business, 10(2), 164–182. https://doi.org/10.1108/JIEB-09-2016-0032/FULL/XML

Teo, T., & Noyes, J. (2011). An assessment of the influence of perceived enjoyment and attitude on the intention to use technology among pre-service teachers: A structural equation modeling approach. Computers & Education, 57(2), 1645–1653. https://doi.org/10.1016/J.COMPEDU.2011.03.002

Teo, T., Tsai, L. T., & Yang, C.-C. (2013). Applying Structural Equation Modeling (SEM) in Educational Research: An Introduction. In Application of Structural Equation Modeling in Educational Research and Practice (Vol. 7, pp. 1–21). Sense Publishers.

Wingdres, I. (2019). Pemanfaatan SEM PLS untuk penelitian. Seminar Nasional Hasil Pengabdian Kepada Masyarakat (SINDIMAS) 2019, 43–48.


Article Metrics

Abstract view : 1430 times
PDF 1-7 : 380 times

Refbacks

  • There are currently no refbacks.




View My Stats

© 2020 STKIP Arrahmaniyah Depok