Examination of Variables That Affect The Science Success of Eighth Grade Students By Ordinal Logistic Regression Method

Author:

BEZEK GÜRE Özlem1,ŞEVGİN Hikmet2,KAYRİ Murat3

Affiliation:

1. BATMAN ÜNİVERSİTESİ, SAĞLIK HİZMETLERİ MESLEK YÜKSEKOKULU, TIBBİ HİZMETLER VE TEKNİKLER BÖLÜMÜ, TIBBİ DOKÜMANTASYON VE SEKRETERLİK PR.

2. YÜZÜNCÜ YIL ÜNİVERSİTESİ, EĞİTİM FAKÜLTESİ, EĞİTİM BİLİMLERİ BÖLÜMÜ, EĞİTİMDE ÖLÇME VE DEĞERLENDİRME ANABİLİM DALI

3. VAN YÜZÜNCÜ YIL ÜNİVERSİTESİ, EĞİTİM FAKÜLTESİ, BİLGİSAYAR VE ÖĞRETİM TEKNOLOJİLERİ EĞİTİMİ BÖLÜMÜ, BİLGİSAYAR VE ÖĞRETİM TEKNOLOJİLERİ ÖĞRETMENLİĞİ PR.

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.

Publisher

Anemon Mus Alparslan Universitesi Sosyal Bilimler Dergisi

Subject

Industrial and Manufacturing Engineering,Metals and Alloys,Strategy and Management,Mechanical Engineering

Reference85 articles.

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2. 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.

3. 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

4. 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.

5. 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.

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