Pengenalan Structural Equation Modeling dengan Lisrel dalam Olah Data Kuantitatif
Abstract
Processing data as a way to generate meaningful information to support accurate decision-making. Quantitative data processing training was conducted at SDN 004 Samarinda Ilir and SMA IT Granada Samarinda, attended by 13 S3 Education Management (MP) students, 8 S2 MP students, and elementary school teachers. Training materials include theory and continued practice of SEM analysis with LISREL. The results of the training showed that some participants successfully practised PRELIS analysis and continued LISREL investigation successfully, but some were still at the level of familiarity with the application. Based on feedback, participants gave "Excellent" and "Good" responses for the training material aspect 93,181%, an average of 95,454% for the resource person aspect, and 82,954% of participants stated that the provision of room and consumption facilities was feasible. Participants admitted that this SEM training material supports completing the S3 and S2 MP final projects. For further training, it is necessary to implement other applications, even with qualitative data, to provide a more varied data processing experience.
Downloads
References
E. M. Kim, S. Lee, H. Y. Ahn, and H. S. Choi. (2023). Structural Equation Model on the Problem Behavior of Adolescents. Int. J. Environ. Res. Public Health, 20, (1) , https://doi.org/10.3390/ijerph20010756.
Hafizh, M., & Novita, T. (2022). Perancangan Sistem Pengolahan Data Nilai. Jurnal Pustaka Data (Pusat Akses Kajian Database, Analisa Teknologi, Dan Arsitektur Komputer), 2(1), 23–27. https://doi.org/10.55382/jurnalpustakadata.v2i1.192
I. Ghazali, Structural equation modeling. (2008). Teori, konsep, dan aplikasi dengan program LISREL, 2nd ed. Semarang: Badan Penerbit Universitas Diponegoro.
J. Ye, X. Lai, and G. K. W. Wong. (2022). A multigroup structural equation modeling analysis of students’ perception, motivation, and performance in computational thinking. Front. Psychol., 13, (1), pp.1–13, https://doi.org/ 10.3389/fpsyg.2022.989066.
K. G. Joreskog and D. Sorbom, (2018). LISREL 8. User’s reference guide. Chicago: Scientidic Software International.
M. A. Akbar, P. Biringkanae, U. S. A. Lubis, D. N. C. Arta, S. Robo, and L. Sari, (2023). Pelatihan Struktural Equation Modelling dan Penulisan Karya Tulis Ilmiah Bagi Tenaga Pendidik di lingkungan Politeknik Penerbangan Jayapura. TYA TAQ J. Pengabdi. Kpd. Masyarakat, 2, (1), 92–96.
S. Suyoto, A. Z. Abidin, and H. Hariyaty, (2019). Penerapan Structural Equation Modelling Pada Pelatihan dan Komitmen Organisasi Bidan Puskesmas. Jurnal Econ. Resour., 2, (1), 46–60, https://doi.org/10.33096/jer.v2i1.240.
S. L. Hoe. (2008). Issues and procedures in adopting structural equation modelling technique. Journal Appl. Quant. Methods, 3, (1), 76–83.
T. I. Santoso, M. Rozali, and R. Hanifa. (2022). Structural Equation Modeling (SEM) Penggunaan SEM – GSCA dan Aplikasi GSCA – Pro Untuk Mahasiswa dan Dosen, Nusantara: Jurnal Pengabdian Kepada Masyarakat, 2, (3), 48–56, https://doi.org/10.55606/nusantara.v2i3.253.
V. T. T. Nguyen and H. L. Chen. (2023). Examining impacts of information system success and perceived stress on students’ self-regulated learning mediated by intrinsic motivation in online learning environments: second-order structural equation modelling analyses, Educ. Inf. Technol, https://doi.org/10.1007/s10639-023-11685-w.
Wijanto, S. H. (2015). Metode Penelitian menggunakan Structural Equation Modeling dengan LISREL 9. Lembaga Penerbit FEUI.
X. Guo, X. Hao, W. Deng, X. Ji, S. Xiang, and W. Hu. (2022). The relationship between epistemological beliefs, reflective thinking, and science identity: a structural equation modeling analysis. Int. Journal STEM Educ., 9, (1), https://doi.org/10.1186/s40594-022-00355-x.
Zhao, Leilei. (2022). Developing AI Literacy for Primary and Middle School Teachers in China: Based on a Structural Equation Modeling Analysis. Sustainability. 14, (21), 1–16, https://doi.org/10.3390/su142114549.
.png)
.png){kind=logo}
.png)
.png)
