Journals / Eğitimde ve Psikolojide Ölçme ve Değerlendirme Dergisi / 2019 / Cilt: 10 - Sayı: 4

Investigation of the Variables Affecting the Students’ Science Achievement with Multilevel Regression Model

Pages
365–377
Publication Date
2019-12-13
DOI
—
🏛️Bibliographic metadata and full text access for this article are provided via DergiPark.
DergiPark Record ↗
✨

AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

According to the results, the students’ achievements differed among their schools.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:This study investigated the variables affecting the science achievement of eighth-grade students by multi-level regression analysis.
📊
Key Findings & Data:The study group consisted of 1049 students and 41 teachers.
💡
Conclusion & Impact:According to the results, the students’ achievements differed among their schools.
🔬Design:Modeling & Simulation
📍Scope:Comprehensive Sample
⚙️Variables:Multi-level regression analysis

Abstract

This study investigated the variables affecting the science achievement of eighth-grade students by multi-level regression analysis. The variables included in this research were students’ attitudes, confidence level, value, engagement in science, socioeconomic status, school type, school region, and teacher experience. The study group consisted of 1049 students and 41 teachers. In the first research question, differences in students’ science achievement scores among their schools were investigated. According to the results, the students’ achievements differed among their schools. Approximately 16.3% of the differences observed in science achievement were stem from the differences among schools, and 83.6% stem from the differences among students. In the second research question, student characteristics that explain the differences among the science achievements of the schools have been examined. Students’ socioeconomic level, attitude, and confidence level were only variables that have statistically significant relationship with achievement. Socioeconomic and confidence level variables have a positive effect on achievement, but attitude variable has a negative effect on achievement. In the third research question, student and school characteristics that affect science achievement have been examined simultaneously. The school characteristics that have been included in the regression model were teacher experience, region, and school type. It was determined that none of the regression coefficients for the school characteristics variables were statistically significant in the regression model.

🔖

Cite This Article

ULUTAN, E., AKTAN, D. Ç. (2019). Investigation of the Variables Affecting the Students’ Science Achievement with Multilevel Regression Model. Eğitimde ve Psikolojide Ölçme ve Değerlendirme Dergisi, Cilt: 10 - Sayı: 4, 365–377. https://ajindex.com/articles/137316

📄 Full Text PDF Viewer

📄

PDF görüntüleyici hazırlanıyor...

References (16)

  1. Abazoğlu, İ., & Taşar, M. F. (2016). Fen bilgisi öğretmen özelliklerinin öğrenci fen başarısı ile ilişkisi: TIMSS 2011 verilerine göre bir durum analizi. Elementary Education Online, 922-945.
  2. Acar, M. (2013). Öğrenci başarılarının belirlenmesi sınavında Türkçe dersi başarısının öğrenci ve okul özellikleri ile ilişkisinin hiyerarşik lineer model ile analizi. Ankara:
  3. Ankara Üniversitesi.
  4. Acar, T. (2009). An application of hierarchical linear modeling: OKS-2006 science test achievement. Eurasian Journal of Educational Research, 9(37), 1-16.
  5. Acar, T., & Öğretmen, T. (2012). Çok düzeyli istatistiksel yöntemler ile 2006 PISA fen bilimleri performansının incelenmesi. Eğitim ve Bilim, 37(163), 178-189.
  6. Akıllı, M. (2015). Regression levels of selected affective factors on science achievement: a structural equation model with TIMSS 2011 data. Electronic Journal of Science Education, 19(1), 1-16.
  7. Akyüz, G. (2006). Türkiye ve Avrupa birliği ülkelerinde öğretmen ve sınıf niteliklerinin matematik başarısına etkisinin incelenmesi. Elementary Education Online, 5(2), 75-86.
  8. Anıl, D. (2011). Türkiye’nin PISA 2006 fen bilimleri başarısını etkileyen faktörlerin yapısal eşitlik modeli ile incelenmesi. Kuram ve Uygulamada Eğitim Bilimleri, 11(3), 1253-1266.
  9. Atalmış, E. H., Avgın, S. S., Demir, P., & Yıldırım, B. (2016). Examination of science achievement in the 8th grade level in Turkey in terms of national and international exams depending upon various variables. Journal of education and Practice, 7(10), 152-162.
  10. Atar, H. Y. (2014). Öğretmen niteliklerinin TIMSS 2011 fen başarısına çok düzeyli etkileri. Eğitim ve Bilim, 39(172), 121-137.
  11. Atar, H. Y., & Atar, B. (2012). Türk eğitim reformunun öğrencilerin TIMSS 2007 fen başarılarına etkisinin incelenmesi. Kuram ve Uygulamada Eğitim Bilimleri, 12(4), 2621-2636.
  12. Berberoğlu, G., & Kalender, İ. (2005). Öğrenci başarısının yıllara, okul türlerine, bölgelere göre incelenmesi. Eğitim Bilimleri ve Uygulama, 4(7), 21-35.
  13. Büyüköztürk, Ş. (2015). Sosyal bilimler için veri analizi el kitabı. Ankara:
  14. Pegem Akademi. Büyüköztürk, Ş., Şekercioğlu, G., & Çokluk, Ö. (2014). Sosyal bilimler için çok değişkenli istatistik SPSS ve Lisrel uygulamaları. Ankara:
  15. Pegem Akademi. Doğan, E., & Demir, S. B. (2015). Examination of the relation between TEOG score and school success in terms of various variables. Journal of Education and Training Studies, 3(5), 113-121.
  16. Doğan, N., & Barış, F. (2010). Tutum, değer ve öz yeterlik değişkenlerinin TIMSS-1999 ve T