EN
TR
Examination of Variables Affecting Science Success of Eighth Grade Students Using Ordinal Logistic Regression Method
Abstract
The aim of this study was to investigate the factors affecting the science success of eighth-grade students using the Ordinal Logistic Regression method. In this study, information collected from a total of 4224 students, 2202 (52.1%) male and 2022 (47.9%) female, who participated in the ABIDE 2016 application was used. The scores obtained from the science course of the students entering the ABIDE 2016 application were transformed into categorical ones according to the determined threshold values. In the analysis, the categorical science success score was used as the predicted variable, and 15 variables that were thought to affect science success were used as predictive variables. The data obtained later were examined by the Ordinal Logistic Regression method. As a result of the examination, the factors affecting science success were determined as peer bullying, perceived self-efficiency, value given to the course, parental attention, family pressure, father’s educational status, mother's educational status, monthly income, having a computer or tablet, having a room of one's own, student's educational goal and participation in science support courses. The findings were found to be remarkably similar to those found in the literature. This indicates that the OLR method is quite effective in predicting training data. Such research is expected to be handled objectively and without bias.
Keywords
Kaynakça
- Abacı, Ç. Ç. (2015). The evaluation of central system common exams in terms of different variables, (Master Thesis). Gazi Üniversitesi Eğitim Bilimleri Enstitüsü, Ankara.
- Abacıoğlu,S. & Ünal, İ.H. (2017). Determining the efficiency of companies by using data envelopment and ordinal logistic regression analysis: a study of weaving, apperal and leather industry. Eurasian Journal of Researches in Social and Economics, 4 (12), 1-19.
- Güvendir, M. A. (2014). Student and school characteristics' relation to Turkish achievement in student achievement determination exam. Egitim ve Bilim, 39(172). Large-Scale Assessment Special Issue
- Akamca, G. Ö. & Hamurcu, H. (2005). The effects of instruction based on multiple intelligence theory on students’ science achievement, attitudes and retention of knowledge. Hacettepe University Faculty of Educational Sciences Journal, 28(28), 178-187.
- Akboğa Kale, Ö.. (2020). Determınation of poor compliance wıth osh rules of construction workers using ordinal regression model. Mugla Journal of Science and Technology, 6(1), 78-88.
- Akhan, Ş. & Bindak, R. (2017). The effect of some individual variables on secondary school students’ math achievement: a regression model. Ihlara Journal of Educational Research, 2(2), 5-17.
- Akın, H.B. & Şentürk, E. (2012). Analysing levels of happiness of individuals with ordinal logistic analysis. Öneri Journal, 10.(37),183-193.
- Akıncı, B. (2020). The examination of science curriculum and assessment studies according to the monitoring and evaluation of academic skills (ABİDE) (Master Thesis) Ankara Üniversitesi Eğitim Bilimleri Enstitüsü, Ankara.
Ayrıntılar
Birincil Dil
İngilizce
Konular
-
Bölüm
Araştırma Makalesi
Yayımlanma Tarihi
30 Ağustos 2022
Gönderilme Tarihi
1 Ocak 2022
Kabul Tarihi
18 Haziran 2022
Yayımlandığı Sayı
Yıl 2022 Cilt: 10 Sayı: 2
APA
Bezek Güre, Ö., Şevgin, H., & Kayri, M. (2022). Examination of Variables Affecting Science Success of Eighth Grade Students Using Ordinal Logistic Regression Method. Anemon Muş Alparslan Üniversitesi Sosyal Bilimler Dergisi, 10(2), 781-797. https://doi.org/10.18506/anemon.1052062