Vol. 11 No. 12 (2025): December
Open Access
Peer Reviewed

Factors Affecting Indonesian Students’ Science Achievement: A Multilevel Analysis of the PISA Dataset

Authors

DOI:

10.29303/jppipa.v11i12.11602

Published:

2025-12-25

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Abstract

Students' science achievement is one indicator of a country's progress in science and technology. Until 2022, the Programme for International Student Assessment (PISA) survey showed that Indonesian 15-year-old students' science achievement was still lower than that of OECD countries. This study aims to explore factors related to students' science achievement at the student and school levels in Indonesia. Although it dates to 10 years, we use the PISA 2015 datasets since it is focused on science and includes several variables that are not available in either PISA 2018 or 2022. We use multilevel modeling implemented in R statistical software. We find that 50.9% of the total variance in students' science achievement is attributable to differences among students (level 1), while the remaining variance is associated with school differences (level 2). In addition, the random-slope model outperformed the random-intercept and null models. Student-level variables significantly influencing students' science achievement are gender, the socioeconomic and cultural status index, science enjoyment, self-efficacy, and epistemological beliefs about science. Meanwhile, school-level variables significant for students' science ability include school type and the disciplinary climate in science classes. Further improvements and studies are needed to increase Indonesian students' science achievement in PISA 2025.

Keywords:

Indonesia Multilevel PISA Science achievement

References

Aditomo, A., & Klieme, E. (2020). Forms of inquiry-based science instruction and their relations with learning outcomes: evidence from high and low-performing education systems. International Journal of Science Education, 42(4), 504–525. https://doi.org/ 10.1080/09500693.2020.1716093 DOI: https://doi.org/10.1080/09500693.2020.1716093

Anggraini, L., & Perdana, R. (2019). Hubungan sikap dan percaya diri siswa pada mata pelajaran IPA di sekolah menengah pertama. Jurnal Kajian Pendidikan Sains, 5(2), 188–199. https://doi.org/10.32699/spektra.v5i2.103 DOI: https://doi.org/10.32699/spektra.v5i2.103

Areepattamannil, S., Freeman, J. G., & Klinger, D. A. (2011). Influence of motivation, self-beliefs, and instructional practices on science achievement of adolescents in Canada. Social Psychology of Education, 14(2), 233–259. https://doi.org/10.1007/s11218-010-9144-9 DOI: https://doi.org/10.1007/s11218-010-9144-9

Areepattamannil, S., Khurma, O. A., Ali, N., Al Hakmani, R., & Kadbey, H. (2023). Examining the relationship between science motivational beliefs and science achievement in Emirati early adolescents through the lens of self-determination theory. Large-Scale Assessments in Education, 11(1). https://doi.org/10.1186/s40536-023-00175-7 DOI: https://doi.org/10.1186/s40536-023-00175-7

Bazán-Ramírez, A., Hernández-Padilla, E., Bazán-Ramírez, W., & Tresierra-Ayala, M. (2022). Effects of Opportunities to Learn on Peruvian Students’ Science Achievement in Program for International Student Assessment 2015. Frontiers in Education, 7. https://doi.org/10.3389/feduc.2022.897473 DOI: https://doi.org/10.3389/feduc.2022.897473

Berridge, D. M., & Crouchley, R. (2011). Multivariate generalized linear mixed models using R. FL: CRC Press. DOI: https://doi.org/10.1201/b10850

Blums, A., Belsky, J., Grimm, K., & Chen, Z. (2017). Building Links between Early Socioeconomic Status, Cognitive Ability, and Math and Science Achievement. Journal of Cognition and Development, 18(1), 16–40. https://doi.org/10.1080/15248372. 2016.1228652 DOI: https://doi.org/10.1080/15248372.2016.1228652

Cahyani, C.P.N. & Setiawan, E.P. (2024). How Motivation mediated Science Achievement of Indonesian Students: a Path Analysis on PISA 2018 data. Jurnal Penelitian Pendidikan IPA, 10 (12), 10493-10501. https://doi.org/10.29303/jppipa.v10i12. 10012 DOI: https://doi.org/10.29303/jppipa.v10i12.10012

Caro, D. H., & Biecek, P. (2017). intsvy: An R package for analyzing international large-scale assessment data. Journal of Statistical Software, 81, 1-44. https://doi.org/10.18637/jss.v081.i07. DOI: https://doi.org/10.18637/jss.v081.i07

Chai, C. S., Lin, P. Y., King, R. B., & Jong, M. S. Y. (2021). Intrinsic motivation and sophisticated epistemic beliefs are promising pathways to science achievement: evidence from high achieving regions in the east and the west. Frontiers in Psychology, 12, 1–14. https://doi.org/10.3389/fpsyg.2021.581193 DOI: https://doi.org/10.3389/fpsyg.2021.581193

Cheung, D. (2007). Facilitating chemistry teachers to implement inquiry-based laboratory work. International Journal of Science and Mathematics Education, 6(1), 107–130. https://doi.org/10.1007/ s10763-007-9102-y DOI: https://doi.org/10.1007/s10763-007-9102-y

Conley, A. M. M., Pintrich, P. R., Vekiri, I., & Harrison, D. (2004). Changes in epistemological beliefs in elementary science students. Contemporary Educational Psychology, 29(2), 186–204. https://doi.org/10.1016/j.cedpsych.2004.01.004 DOI: https://doi.org/10.1016/j.cedpsych.2004.01.004

Dean, C. (2023). Epistemological beliefs about science and their relations to gender, attitudes to science and science achievement in UAE schools. In Gender in STEM Education in the Arab Gulf Countries. Springer Nature

Fadilah, Isti, S., Amarta, T. W. D., & Prabowo, C. A. (2020). Analisis kemampuan literasi sains siswa SMA pada pembelajaran biologi menggunakan NOSLiT. Jurnal Program Studi Pendidikan Biologi, 10(1), 27–34. https://doi.org/10.33369/pendipa.8.3.580-586 DOI: https://doi.org/10.15575/bioeduin.v10i1.8141

Finch, W. H., Bolin, J. E., & Kelley, K. (2024). Multilevel Modeling Using R. Chapman and Hall/CRC. https://doi.org/10.1201/b23166 DOI: https://doi.org/10.1201/b23166

Fulmer, G. W. (2014). Undergraduates’ atttitudes toward science and their epistemological beliefs: positive effects of certainty and authority beliefs. Journal of Science Education and Technology, 23(1), 198–206. Retrieved from https://www.jstor.org/stable/24019837 DOI: https://doi.org/10.1007/s10956-013-9463-7

Gelman, A., & Hill, J. (2007). Data analysis using regression and multilevel/hierarchical models. Cambridge University Press. DOI: https://doi.org/10.32614/CRAN.package.arm

Grabau, L. J., Lavonen, J., & Juuti, K. (2021). Finland, a package deal: Disciplinary climate in science classes, science dispositions and science literacy. Sustainability (Switzerland), 13(24). https://doi.org/10.3390/su132413857 DOI: https://doi.org/10.3390/su132413857

Guo, J., Hu, X., Marsh, H. W., & Pekrun, R. (2021). Relations of epistemic beliefs with motivation, achievement, and aspirations in science: generalizability across 72 societies. Journal of Educational Psychology, 114(4), 734–751. https://doi.org/10.1037/edu0000660 DOI: https://doi.org/10.1037/edu0000660

Heck, R. H., & Thomas, S. L. (2020). An introduction to multilevel modeling techniques: MLM and SEM approaches. In An Introduction to Multilevel Modeling Techniques. Routledge. DOI: https://doi.org/10.4324/9780429060274

Hu, X., Leung, F. K. S., & Chen, G. (2018). School, family, and student factors behind student attitudes towards science: The case of Hong Kong fourth-graders. International Journal of Educational Research, 92, 135–144. Retrieved from https://www.learntechlib.org/p/204241/10.1016/j.ijer.2018.09.014 DOI: https://doi.org/10.1016/j.ijer.2018.09.014

Huang, S., Jiang, Y., Yin, H., & Jong, M. S. yung. (2021). Does ICT use matter? The relationships between students’ ICT use, motivation, and science achievement in East Asia. Learning and Individual Differences, 86. https://doi.org/10.1016/j.lindif.2020. 101957 DOI: https://doi.org/10.1016/j.lindif.2020.101957

Huryah, F., Sumarmin, R., & Effendi, J. (2017). Analisis capaian literasi sains biologi siswa SMA kelas X Sekota Padang. Jurnal Eksakta Pendidikan (JEP), 1(2), 72–79. https://doi.org/10.24036/jep.v1i2.70 DOI: https://doi.org/10.24036/jep.v1i2.70

Jack, B. M., & Lin, H. (2018). Warning! Increases in interest without enjoyment may not be trend predictive of genuine interest in learning science. International Journal of Educational Development, 62, 136–147. https://doi.org/10.1016/j.ijedudev.2018.03.005 DOI: https://doi.org/10.1016/j.ijedudev.2018.03.005

Jansen, M., Schroeders, U., & Lüdtke, O. (2014). Academic self-concept in science: Multidimensionality, relations to achievement measures, and gender differences. Learning and Individual Differences, 30, 11–21. https://doi.org/10.1016/j.lindif.2013.12.003 DOI: https://doi.org/10.1016/j.lindif.2013.12.003

Johnson, K., & Willoughby, S. (2018). Changing epistemological beliefs with nature of science implementations. Physical Review Physics Education Research, 14(1), 010110. https://doi.org/10.1103/PhysRevPhysEducRes.14.010110 DOI: https://doi.org/10.1103/PhysRevPhysEducRes.14.010110

Karakolidis, A., Pitsia, V., & Emvalotis, A. (2019). The case of high motivation and low achievement in science: what is the role of students’ epistemic beliefs? International Journal of Science Education, 41(11), 1457–1474. https://doi.org/10.1080/ 09500693.2019.1612121 DOI: https://doi.org/10.1080/09500693.2019.1612121

Kartianom, K., & Ndayizeye, O. (2017). What‘s wrong with the Asian and African Students’ mathematics learning achievement? The multilevel PISA 2015 data analysis for Indonesia, Japan, and Algeria”. Jurnal Riset Pendidikan Matematika, 4(2), 200-210. http://dx.doi.org/10. 21831/jrpm.v4i2.16931 DOI: https://doi.org/10.21831/jrpm.v4i2.16931

Kirschner, P. A., Sweller, J., & Clark, R. E. (2006). Why minimal guidance during instruction does not work: An analysis of the failure of constructivist, discovery, problem-based, experiential, and inquiry-based teaching. Educational Psychologist, 41(2), 75–86. https://doi.org/10.1207/s15326985ep4102_1 DOI: https://doi.org/10.1207/s15326985ep4102_1

Kismiantini, Setiawan, E. P., Pierewan, A. C., & Montesinos-López, O. A. (2021). Growth mindset, school context, and mathematics achievement in Indonesia: A multilevel model. Journal on Mathematics Education, 12(2), 279-294. http://doi.org/10.22342/ jme.12.2.13690.279-294 DOI: https://doi.org/10.22342/jme.12.2.13690.279-294

Kurniawati, F. N. A. (2022). Meninjau permasalahan rendahnya kualitas pendidikan di Indonesia dan solusi. AoEJ: Academy of Education Journal, 13(1), 1–13. https://doi.org/10.47200/aoej.v13i1.765 DOI: https://doi.org/10.47200/aoej.v13i1.765

Kwarikunda, D., Schiefele, U., Ssenyonga, J., & Muwonge, C. M. (2021). Secondary school students’ motivation profiles for physics learning: Relations with cognitive learning strategies, gender, attitudes and individual interest. African Journal of Research in Mathematics, Science and Technology Education, 25(2), 197–210. Retrieved from https://journals.co.za/doi/epdf/10.1080/18117295.2021.1956720 DOI: https://doi.org/10.1080/18117295.2021.1956720

Lau, K. C., & Ho, S. C. E. (2022). Attitudes towards science, teaching practices, and science performance in PISA 2015: Multilevel analysis of the Chinese and Western top performers. Research in Science Education, 52(2), 415–426. Retrieved from https://eric.ed.gov/?id=EJ1330236 DOI: https://doi.org/10.1007/s11165-020-09954-6

Lee, A. (2023). The importance of cultivating awareness of environmental matters in science classrooms: a cross-regional study. Australian Journal of Environmental Education, 39(4), 467–491. https://doi.org/10.1017/aee.2023.7 DOI: https://doi.org/10.1017/aee.2023.7

Lee, C. S., Hayes, K. N., Seitz, J., DiStefano, R., & O’Connor, D. (2016). Understanding motivational structures that differentially predict engagement and achievement in middle school science. International Journal of Science Education, 38(2), 192–215. https://doi.org/10.1080/09500693. 2015.1136452 DOI: https://doi.org/10.1080/09500693.2015.1136452

Lestari, W., Mansyur, J., & Werdiana, I. K. (2015). Keyakinan Epistemologis Siswa Lintas Level Akademik Terhadap Fisika. Mitra Sains, 3(2), 61-71. Retrieved from https://media.neliti.com/media/publications/153319-ID-keyakinan-epistemologis-siswa-lintas-lev.pdf

Li, B. Y. M., Bae, Y., Wu, Y. J., Chen, C. W., & Wu, Y. J. (2024). Examining student, parent, and school factors predicting science achievement using a multilevel approach: the case of Hong Kong from the Program for International Student Assessment 2015. Asia Pacific Education Review, 1–18. https://doi.org/10.1007/s12564-024-09929-6 DOI: https://doi.org/10.1007/s12564-024-09929-6

Liou, P. Y. (2021). Students’ attitudes toward science and science achievement: An analysis of the differential effects of science instructional practices. Journal of Research in Science Teaching, 58(3), 310–334. https://doi.org/10.1002/tea.21643?urlappend=%3Futm_source%3Dresearchgate.net%26utm_medium%3Darticle DOI: https://doi.org/10.1002/tea.21643

Lubienski, S. T., Lubienski, C., & Crane, C. C. (2008). Achievement differences and school type: the role of school climate, teacher certification, and instruction. American Journal of Education, 115, 97–138. https://psycnet.apa.org/doi/10.1086/590677 DOI: https://doi.org/10.1086/590677

Maghfiroh, E., & Arifin, S. (2021). Implementasi pembelajaran menyenangkan dengan model teams games tournament (tgt) untuk memudahkan pembelajaran ipa terhadap peserta didik. Bidayatuna Jurnal Pendidikan Guru Mandrasah Ibtidaiyah, 4(2), 213-231. Retrieved from https://ejournal.iaisyarifuddin.ac.id/index.php/bidayatuna/article/view/1272/533 DOI: https://doi.org/10.54471/bidayatuna.v4i2.1272

Newhouse, D., & Beegle, K. (2006). The effect of school type on academic achievement evidence from Indonesia. Journal of Human Resources, 41(3), 529–557. Retrieved from https://ideas.repec.org/a/uwp/jhriss/v41y2006i3p529-557.html DOI: https://doi.org/10.3368/jhr.XLI.3.529

Nugraha, D. M. D. P. (2022). Hubungan kemampuan literasi sains dengan hasil belajar IPA siswa sekolah dasar. Jurnal Elementary: Kajian Teori Dan Hasil Penelitian Pendidikan Sekolah Dasar, 5(2), 153–158. https://doi.org/10.31764/elementary.51i2.8874 DOI: https://doi.org/10.31764/elementary.v5i2.8874

Nurfalaq, M., Wahyuni, N., Prasetyo, M. M., Wirda, S., & Nurhidayah, N. (2022). Penerapan Model Pembelajaran Menyenangkan (Joyfull Learning) dalam Meningkatkan Hasil Belajar IPA. Jurnal Biotek, 10(1), 102-116. https://doi.org/10.24252/jb.v10i1.29297 DOI: https://doi.org/10.24252/jb.v10i1.29297

O’Connell, A. A., McCoach, D. B., & Bell, B. A. (2022). Multilevel modeling methods with introductory and advanced applications. IAP. DOI: https://doi.org/10.1108/978-1-64802-873-1

OECD. (2014). PISA 2012 technical report. OECD Publishing. https://doi.org/10.1787/6341a959 en

OECD. (2016a). PISA 2015 Results (Volume I): Excellence and equity in education. OECD Publishing. https://doi.org/10.1787/9789264266490 en

OECD. (2016b). PISA 2015 Results (Volume II): Policies and practices for successful schools. OECD Publishing. https://doi.org/10.1787/9789264267510‑en

OECD. (2017). PISA 2015 technical report. OECD Publishing.

OECD. (2023). PISA 2022 Results (Volume I): The state of learning and equity in education. OECD Publishing. https://doi.org/10.1787/53f23881‑en

Pamuk, S., Sungur, S., & Oztekin, C. (2017). A multilevel analysis of students’ science achievements in relation to their self-regulation, epistemological beliefs, learning environment perceptions, and teachers’ personal characteristics. International Journal of Science and Mathematics Education, 15(8), 1423–1440. https://doi.org/10.1007/s10763-016-9761-7 DOI: https://doi.org/10.1007/s10763-016-9761-7

Peugh, J. L. (2010). A practical guide to multilevel modeling. Journal of School Psychology, 48(1), 85–112. https://doi.org/10.1016/j.jsp.2009.09.002 DOI: https://doi.org/10.1016/j.jsp.2009.09.002

Pitsia, V. (2022). Examining high achievement in mathematics and science among post-primary students in Ireland: a multilevel binary logistic regression analysis of PISA data. Large-Scale Assessments in Education, 10(14), 1–30. http://dx.doi.org/10.1186/s40536-022-00131-x DOI: https://doi.org/10.1186/s40536-022-00131-x

Pratiwi, I. (2019). Efek program PISA terhadap kurikulum di Indonesia. Jurnal Pendidikan Dan Kebudayaan, 4(1), 51–71. https://doi.org/10.24832/jpnk.v4i1.1157 DOI: https://doi.org/10.24832/jpnk.v4i1.1157

Rabe-Hesketh, S., & Skrondal, A. (2012). Multilevel and longitudinal modeling using stata, volume I: Continuous responses. Stata Press.

Rohatgi, A., Hatlevik, O. E., & Björnsson, J. K. (2022). Supportive climates and science achievement in the Nordic countries: lessons learned from the 2015 PISA study. Large-Scale Assessments in Education, 10(12), 1–28. https://doi.org/10.1186/s40536-022-00123-x DOI: https://doi.org/10.1186/s40536-022-00123-x

Rozgonjuk, D., Konstabel, K., Barker, K., Rannikmäe, M., & Täht, K. (2023). Epistemic beliefs in science, socio-economic status, and mathematics and science test results in lower secondary education: a multilevel perspective. Educational Psychology, 43(1), 22–37. https://doi.org/10.1080/01443410.2022.2144143 DOI: https://doi.org/10.1080/01443410.2022.2144143

Rustaman, N. Y. (2005). Perkembangan penelitian pembelajaran berbasis inkuiri dalam pendidikan sains. Seminar Nasional II Himpunan Ikatan Sarjana Dan Pemerhati Pendidikan IPA Indonesia, 2–21. Retrieved from https://shorturl.at/s0Bh7

Safrizal, Yulia, R., Anastasha, D. A., Husnani, & Rahmi, S. (2021). Gambaran kemampuan literasi sains siswa sekolah dasar di Kota Padang (Studi kasus siswa di sekolah akreditasi A). El-Ibtidaiy: Journal of Primary Education, 4(1), 55–64. https://doi.org/10.24014/ ejpe.v4i1.12362 DOI: https://doi.org/10.24014/ejpe.v4i1.12362

Sandoval, W. A. (2005). Understanding students’ practical epistemologies and their influence on learning through inquiry. Science Education, 89(4), 634-656. https://doi.org/10.1002/sce.20065 DOI: https://doi.org/10.1002/sce.20065

She, H. C., Lin, H., & Huang, L. Y. (2019). Reflections on and implications of the Programme for International Student Assessment 2015 (PISA 2015) performance of students in Taiwan: The role of epistemic beliefs about science in scientific literacy. Journal of Research in Science Teaching, 56(10), 1309–1340. https://doi.org/10.1002/tea.21553 DOI: https://doi.org/10.1002/tea.21553

Siqi, L., Xiufeng, L., Yang, Y., & Jennifer, T. (2022). Effects of Teacher Professional Development and Science Classroom Learning Environment on Students’ Science Achievement. Research in Science Education, 52(4), 1031–1053. https://doi.org/10.1007/s11165-020-09979-x DOI: https://doi.org/10.1007/s11165-020-09979-x

Sorra, J. S., & Dyer, N. (2010). Multilevel psychometric properties of the AHRQ hospital survey on patient safety culture. BMC Health Services Research, 10(1), 1–13. https://doi.org/10.1186/1472-6963-10-199 DOI: https://doi.org/10.1186/1472-6963-10-199

Suárez-Mesa, A. M., & Gómez, R. L. (2024). Does teachers’ motivation have an impact on students’ scientific literacy and motivation? An empirical study in Colombia with data from PISA 2015. Large-Scale Assessments in Education, 12(1). https://doi.org/10.1186/s40536-023-00190-8 DOI: https://doi.org/10.1186/s40536-023-00190-8

Sun, L., Bradley, K. D., & Akers, K. (2012). A multilevel modelling approach to investigating factors impacting science achievement for secondary school students: PISA Hong Kong sample. International Journal of Science Education, 34(14), 2107–2125. https://doi.org/10.1080/09500693.2012.708063 DOI: https://doi.org/10.1080/09500693.2012.708063

Susongko, P. (2020). The model of science proficiency of Indonesian students in PISA 2015. Journal of Physics: Conference Series, 1567(4), 1–6. https://doi.org/10.1088/1742-6596/1567/4/042044 DOI: https://doi.org/10.1088/1742-6596/1567/4/042044

Tan, C. Y. (2023). Influence of principal leadership across contexts on the science learning of students. Asia Pacific Education Review, 31–44. https://doi.org/10.1007/s12564-023-09828-2 DOI: https://doi.org/10.1007/s12564-023-09828-2

Tan, C. Y., Gao, L., Hong, X., & Song, Q. (2023). Socioeconomic status and students’ science self-efficacy. British Educational Research Journal, 49(4), 782–832. https://doi.org/10.1002/berj.3869 DOI: https://doi.org/10.1002/berj.3869

Ulkhaq, M. M. (2023). Apakah kepemilikan ICT di rumah mempengaruhi nilai sains siswa Indonesia? Analisis melalui data PISA 2015. Prosiding Konferensi Integrasi Islam Dan Sains, 5, 75–80. Retrieved from https://conference.um.ac.id/index.php/nsafe/article/view/3271

Wang, C. W., & Neihart, M. (2015). How do supports from parents, teachers, and peers influence academic achievement of twice-exceptional students. Gifted Child Today, 38(3), 148–159. https://doi.org/10. 1177/1076217515583742. DOI: https://doi.org/10.1177/1076217515583742

Wickham, H., & Wickham, H. (2009). Manipulating data. Ggplot2: Elegant graphics for data analysis, 157-175. https://doi.org/10.1007/978-0-387-98141-3 DOI: https://doi.org/10.1007/978-0-387-98141-3_9

Wickham, H., Francois, R., Henry, L., & Müller, K. (2014). A Grammar of Data Manipulation 2020. Rproject. DOI: https://doi.org/10.32614/CRAN.package.dplyr

Yetişir, M. İ., & Bati, K. (2021). The effect of school and student-related factors on PISA 2015 science performance in Turkey. International Journal of Psychology and Educational Studies, 8(2), 170–186. https://doi.org/10.52380/ijpes.2021.8.2.433 DOI: https://doi.org/10.52380/ijpes.2021.8.2.433

Yong, X., Yonghe, Z., & Yang, Y. (2023). The relationship between students’ awareness of environmental issues and attitudes toward science and epistemological beliefs moderating effect of informal science activities. Research in Science Education, 53(6), 1185–1201. https://doi.org/10.1007/s11165-023-10126-5 DOI: https://doi.org/10.1007/s11165-023-10126-5

You, H. S., Park, S., & Delgado, C. (2021). A closer look at US schools: What characteristics are associated with scientific literacy? A multivariate multilevel analysis using PISA 2015. Science Education, 105(2), 406–437. https://doi.org/10.1002/sce.21609 DOI: https://doi.org/10.1002/sce.21609

Yu, C. H., Wu, S. F., & Mangan, C. (2015). Identifying crucial and malleable factors of successful science learning from the 2012 PISA. Science Education in East Asia: Pedagogical Innovations and Research-Informed Practices, 567–590. https://doi.org/10.1007/978-3-319-16390-1_23 DOI: https://doi.org/10.1007/978-3-319-16390-1_23

Yusmar, F., & Fadilah, R. E. (2023). Analisis rendahnya literasi sains peserta didik Indonesia: hasil PISA dan faktor penyebab. LENSA (Lentera Sains): Jurnal Pendidikan IPA, 13(1), 11–19. https://doi.org/10.24929/lensa.v13i1.283 DOI: https://doi.org/10.24929/lensa.v13i1.283

Zuur, A. F., Ieno, E. N., Walker, N. J., Saveliev, A. A., & Smith, G. M. (2009). Mixed effects models and extensions in ecology with R. Springer. https://doi.org/ 10.1007/978-0-387-87458-6 DOI: https://doi.org/10.1007/978-0-387-87458-6

Author Biographies

Tia Asri Ivanka, Universitas Negeri Yogyakarta

Author Origin : Indonesia

Ezra Putranda Setiawan, Universitas Negeri Yogyakarta

Author Origin : Indonesia

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How to Cite

Ivanka, T. A., & Setiawan, E. P. (2025). Factors Affecting Indonesian Students’ Science Achievement: A Multilevel Analysis of the PISA Dataset. Jurnal Penelitian Pendidikan IPA, 11(12), 249–260. https://doi.org/10.29303/jppipa.v11i12.11602