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Examination of Variables Affecting Science Success of Eighth Grade Students Using Ordinal Logistic Regression Method

Year 2022, Volume: 10 Issue: 2, 781 - 797, 30.08.2022
https://doi.org/10.18506/anemon.1052062

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.

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Sekizinci Sınıf Öğrencilerinin Fen Başarısı Üzerinde Etkili Olan Değişkenlerin Ordinal Lojistik Regresyon Yöntemiyle İncelenmesi

Year 2022, Volume: 10 Issue: 2, 781 - 797, 30.08.2022
https://doi.org/10.18506/anemon.1052062

Abstract

Bu çalışmanın amacı, Ordinal Lojistik Regresyon yöntemi kullanılarak sekizinci sınıf öğrencilerinin fen başarısını etkileyen faktörleri araştırmaktır. Bu çalışmada, ABİDE 2016 uygulamasına katılan 2202’si (%52.1) erkek ve 2022’si (%47.9) kız olmak üzere, toplam 4224 öğrenciden toplanan bilgiler kullanılmıştır. ABİDE 2016 uygulamasına giren öğrencilerin Fen Bilimleri dersinden almış oldukları puanlar belirlenmiş eşik değerlere göre kategorik hale dönüştürülmüştür.Analizde; kategorik hale getirilen fen başarı puanı yordanan değişken; fen başarısını etkilediği düşünülen 15 adet değişken ise yordayıcı değişken olarak kullanılmıştır. Daha sonra elde edilen veriler Ordinal Lojistik Regresyon yöntemi ile incelenmiştir. İnceleme sonucu fen başarısını etkileyen faktörler sırasıyla; akran zorbalığı, öz yeterlilik algısı, derse verilen değer, aile ilgisi, aile baskısı, baba eğitim durumu, anne eğitim durumu, aylık gelir, bilgisayar ya da tablet sahibi olma durumu, kendisine ait odaya sahip olma durumu, öğrencinin eğitimdeki hedefi ve fen destekleme kurslarına katılma durumu olarak belirlenmiştir. Elde edilen sonuçların literatür ile büyük oranda benzerlik gösterdiği görülmüştür. Bu da OLR yönteminin eğitim verileri üzerinde tahmin yeteneğinin yüksek olduğuna işaret etmektedir. Bu tür çalışmaları yansız-sapmasız ele alacağı düşünülmektedir

References

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  • 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.
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  • 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.
  • Aksu, G., Güzeller, C. O. & Eser, M. T. (2017). Analysis of Maths Literacy Performances of Students with Hierarchical Linear Modeling (HLM): The Case of PISA 2012 Turkey. Education and Science, 42(191), 247-266.
  • Aktürk, Ü. & Aylaz, R. (2013). Students’ levels of self-sufficiency in a primary school. DEUHYO ED, 6(4), 177-183.
  • Aküzüm, C. & Saraçoğlu, M. (2018). Investigation of Secondary School Teachers’ Attitudes towards Supporting and Training Courses, Turkish Journal of Educational Studies, 5(2), 97-121.
  • Alkan, İ., Alkan, İ., & Bayri, N. (2017). A meta analysis study on the relationship between motivation for science learning and science achievement, Dicle University Journal of Ziya Gökalp Faculty of Education, (32), 865-874.
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  • Arı, E. & Yıldız, Z. (2016). An examination of factors that affect the individuals’ life satisfaction with ordinal logit regression analysis, The Journal of International Social Research, 9(42), 1362-1374.
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  • Aslanargun, E., Bozkurt, S. & Sarıoğlu, S. (2016). The Impacts of Socioeconomic Variables on the Academic Success of the Students. Uşak University Journal of Social Sciences, 9(3), 214-234.
  • Azapağası İlbağı E. & Akgün L., 2012. Examination of Attitudes of the Students Aged 15 In Terms of Pisa 2003 Student Questionnaire. Western Anatolia Journal of Educational Science, 3(6), 67-90.
  • Bandura, A. (1993). Perceived self-efficacy in cognitive development and functioning. Educational psychologist, 28(2), 117-148.
  • Bayat, N., Şekercioğlu, G. & Bakır, S. (2014). The Relationship Between Reading Comprehension and Success in Science. Education and Science, 39(176).
  • Bezek Güre, Ö. Kayri, M. &Erdoğan, F.(2020). Analysis of Factors Effecting PISA 2015 Mathematics Literacy via Educational Data Mining. Education and Science, 45(202), 393-415.
  • Bezek Güre, Ö., Kayri, M. & Erdoğan, F. (2019). Predicting factors affecting PISA 2015 Mathematics literacy via Radial Basis Function Artificial Neural Network. Journal of Engineering and Technology, 3(1), 1-11.
  • Bozpolat, E. (2016). Investigation of the Self-Regulated Learning Strategies of StudentsfromtheFaculty of Education Using Ordinal Logistic Regression Analysis. Educational Sciences: Theory and Practice, 16(1), 301-318.
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  • Çalık, G. (2020). Investigation of 8th grade students' science achievement in Turkey: Results from monitoring and evaluating academic skills study (ABIDE) 2016, (Master Thesis). Orta Doğu Teknik Üniversitesi Sosyal Bilimler Enstitüsü, Ankara.
  • Çalışkan, M. (2008).The impact of school and student related factors on scientific literacy skills in the programme for international student assessment PISA 2006, (Doktora Tezi). Orta Doğu Teknik Üniversitesi Fen Bilimleri Enstitüsü, Ankara.
  • Celenk, S. (2003). The prerequisite for school success: Home-school cooperation. Elementary Education Online, 2(2), 28-34.
  • Çokluk Ö., Şekercioğlu G. & Büyüköztürk Ş. (2012). Sosyal bilimler için Çok değişkenli istatistik SPSS ve LISREL uygulamaları. Ankara: Pegem Yayınları.
  • Çokluk, Ö. (2010). Logistic Regression: Concept and Application. Educational Sciences: Theory&Practise, 10(3), 1357-1407.
  • Dağlıoğlu, H. & Oral Erbaş, S. (2017). A Study On Correct Classıfıcatıon Performance Of Unconstraınt Partıal Proportıonal Odds Model. Gazi Journal of Engineering Sciences 3(3), 14-26.
  • Diaz, S. L. (1989, April-May). The Home Environment and Puerto Rıcan Children’s Achievement: A Researcher’s Diary, (Bul. Kyn. Satır, (1996). The Natiohal Association for Education Conference, Hulston.
  • Doğan, N. & Barış, F. (2010). Tutum, Değer ve Özyeterlik Değişkenlerinin TIMSS-1999 ve TIMSS-2007 Sınavlarında Öğrencilerin Matematik Başarılarını Yordama Düzeyleri. Journal of Measurement and Evaluation in Education and Psychology, 1(1), 44-50.
  • Doğan, N., Beyaztaş, İ. B. & Koçak, Z. (2012). The Effect of Self Efficacy Level of Students on Their Achievement in Terms of Their Grade Levels and Gender in A Social Studies Class: The Case Of Erzurum. Education and Science, 37(165), 224-236.
  • Elkonca, F. (2020). An analysis of the DIF sources of ABIDE self-efficacy scale by means of a latent class approach, (Doctoral Thesis). Gazi Üniversitesi Eğitim Bilimleri Enstitüsü, Ankara.
  • Erdinç Akan, O. (2016). The investigation of the relationship between the characteristics of students and teachers and TIMSS 2011 8th grade students' achievement in respect to the cognitive domains: A two level hierarchical linear model analysis,(Master Thesis). Gazi Üniversitesi Eğitim Bilimleri Enstitüsü, Ankara.
  • Erdoğan, E. & Acar Güvendir, M. (2018). The Relationship Between Students Socioeconomic Attributes and Their Reading Skills in Programme for International Student Assessment. Eskişehir Osmangazi University Journal of Social Sciences, 20, 493-523.
  • Fullerton, A.S. (2009). “A Conceptual Framework for Ordered Logistic Regression Models”. Sociological Methods and Research, 38(2), 306-347.
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There are 84 citations in total.

Details

Primary Language English
Journal Section Research Article
Authors

Özlem Bezek Güre 0000-0002-5272-4639

Hikmet Şevgin 0000-0002-9727-5865

Murat Kayri 0000-0002-5933-6444

Publication Date August 30, 2022
Acceptance Date June 18, 2022
Published in Issue Year 2022 Volume: 10 Issue: 2

Cite

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

Anemon Muş Alparslan Üniversitesi Sosyal Bilimler Dergisi Creative Commons Atıf-GayriTicari 4.0 Uluslararası Lisansı (CC BY NC) ile lisanslanmıştır.