Research Article

Science achievement from grades 4 to 8: Structural equation modeling using longitudinal data

Volume: 14 Number: 2 July 29, 2026
EN

Science achievement from grades 4 to 8: Structural equation modeling using longitudinal data

Abstract

This study investigates the longitudinal development of students’ academic achievement and the predictive role of science scores in grades 4–8 on High School Entrance Exam outcomes in Türkiye. The data were examined through the application of two separate structural equation models. The constructed models assess the temporal, autoregressive relationships among academic performance from 4th to 8th grade and examine the direct and indirect effects on the High School Entrance Exam performance using longitudinal data. According to the results, science achievement at each grade level significantly predicts academic performance in subsequent years and shows both direct and indirect effects on High School Entrance Exam scores. Although gender showed a small but statistically significant effect at certain grade levels, it did not have a meaningful or practically significant impact on High School Entrance Exam science achievement. Both models demonstrated good fit and explained more than 50% of the variance in High School Entrance Exam science scores. When the two models were compared, Grade 6 science achievement demonstrated a stronger predictive effect on High School Entrance Exam scores. The findings indicate that early academic success plays a critical role in future performance and highlight the strategic importance of early interventions.

Keywords

High School Entrance Exam, Science Achievement, Structural Equation Modeling, Longitudinal Data

Ethical Statement

This study was approved by the Ethics Committee of Social and Human Sciences at Kütahya Dumlupınar University. The ethics approval was granted on 16.09.2025 under the document number 443.

References

  1. Acharya, A., & Sinha, D. (2014). Early prediction of students performance using machine learning techniques. International Journal of Computer Applications, 107(1), 37–43. https://doi.org/10.5120/18717-9939
  2. Anderson, J. C., & Gerbing, D. W. (1984). The effect of sampling error on convergence, improper solutions, and goodness-of-fit indices for maximum likelihood confirmatory factor analysis. Psychometrika, 49(2), 155–173. https://doi.org/10.1007/BF02294170
  3. Atasayar, A. & Demir, M. (2022). Prediction of primary education HSEE(LGS) science achievement through artificial neural networks. Journal of Innovative Research in Teacher Education, 3(3), 321-338. https://doi.org/10.29329/jirte.2022.479.5
  4. Baker, R. S., & Yacef, K. (2009). The state of educational data mining in 2009: A review and future visions. Journal of Educational Data Mining, 1(1), 3–17. https://doi.org/10.5281/zenodo.3554657
  5. Bollen, K. A., & Curran, P. J. (2006). Latent curve models: A structural equation perspective. John Wiley & Sons.
  6. Bransford, J. D., Brown, A. L., & Cocking, R. R. (2000). How people learn (Vol. 11). National Academy
  7. Bruner, J. S. (2009). The process of education. Harvard University.
  8. Bulunuz, M., & Jarrett, O. S. (2010). Developing an interest in science: Background experiences of preservice elementary teachers. International Journal of Environmental and Science Education, 5(1), 65–84.
  9. Bursal, M. (2013). Longitudinal investigation of elementary students science academic achievement in 4-8th grades: Grade level and gender differences. Educational Sciences: Theory and Practice, 13(2), 1141–1156.
  10. Byrne, B. M. (2012). Structural equation modeling with Mplus: Basic concepts, applications, and programming. Routledge.
APA
Gören, S., & Demir, M. (2026). Science achievement from grades 4 to 8: Structural equation modeling using longitudinal data. International Journal of Turkish Education Sciences, 14(2), 736-752. https://doi.org/10.46778/goputeb.1794293
AMA
1.Gören S, Demir M. Science achievement from grades 4 to 8: Structural equation modeling using longitudinal data. IJTES. 2026;14(2):736-752. doi:10.46778/goputeb.1794293
Chicago
Gören, Sebahat, and Metin Demir. 2026. “Science Achievement from Grades 4 to 8: Structural Equation Modeling Using Longitudinal Data”. International Journal of Turkish Education Sciences 14 (2): 736-52. https://doi.org/10.46778/goputeb.1794293.
EndNote
Gören S, Demir M (July 1, 2026) Science achievement from grades 4 to 8: Structural equation modeling using longitudinal data. International Journal of Turkish Education Sciences 14 2 736–752.
IEEE
[1]S. Gören and M. Demir, “Science achievement from grades 4 to 8: Structural equation modeling using longitudinal data”, IJTES, vol. 14, no. 2, pp. 736–752, July 2026, doi: 10.46778/goputeb.1794293.
ISNAD
Gören, Sebahat - Demir, Metin. “Science Achievement from Grades 4 to 8: Structural Equation Modeling Using Longitudinal Data”. International Journal of Turkish Education Sciences 14/2 (July 1, 2026): 736-752. https://doi.org/10.46778/goputeb.1794293.
JAMA
1.Gören S, Demir M. Science achievement from grades 4 to 8: Structural equation modeling using longitudinal data. IJTES. 2026;14:736–752.
MLA
Gören, Sebahat, and Metin Demir. “Science Achievement from Grades 4 to 8: Structural Equation Modeling Using Longitudinal Data”. International Journal of Turkish Education Sciences, vol. 14, no. 2, July 2026, pp. 736-52, doi:10.46778/goputeb.1794293.
Vancouver
1.Sebahat Gören, Metin Demir. Science achievement from grades 4 to 8: Structural equation modeling using longitudinal data. IJTES. 2026 Jul. 1;14(2):736-52. doi:10.46778/goputeb.1794293