Dergiler / Gazi University Journal of Science Part A: Engineering and Innovation / 2021 / Volume: 8 Issue: 4

Evaluation of Student Attitudes Using Multivariate Statistical Analysis

Füsun Yalçın(AKDENIZ UNIVERSITY, FACULTY OF SCIENCE, DEPARTMENT OF MATHEMATICS)0000-0002-2669-1044
Sayfa
—
Yayın Tarihi
2021-12-30
🏛️Bu makalenin bibliyografik verileri ve tam metin bağlantısı DergiPark üzerinden sağlanmıştır.
DergiPark Kaydı ↗
✨

Yapay Zeka Hızlı Bakış & Çıkarımlar

AI Insight
⚡ TL;DR(1 Cümlede Hızlı Çıkarım)

It was observed that the average increased as the grade level increased.

📌 3 Maddede Bu Makale

🎯
Amaç & Hipotez:This study aims to classify the high school students’ attitudes towards Mathematics and Geometry courses with exploratory factor analysis and cluster analysis and to determine whether there is a difference between several variables determined using t-test.
📊
Temel Bulgular & Veri:For this purpose, 1265 students were selected from 8 schools in Antalya province using by random sampling method and they were asked to respond to the survey form given to them.
💡
Sonuç & Katkı:It was observed that the average increased as the grade level increased.
🔬Tür:Uygulamalı Anket & Alan Araştırması
📍Kapsam:Genişletilmiş Akademik Örneklem
⚙️Değişkenler:Multivariate Statistical Analysis · Factor Analysis · Cluster Analysis

Abstract

This study aims to classify the high school students’ attitudes towards Mathematics and Geometry courses with exploratory factor analysis and cluster analysis and to determine whether there is a difference between several variables determined using t-test. For this purpose, 1265 students were selected from 8 schools in Antalya province using by random sampling method and they were asked to respond to the survey form given to them. The collected data are classified using Factor Analysis and Cluster Analysis which are among the multivariate statistical methods. According to the factor analysis results, 4 factors were determined using the Geometry Attitude Scale, and two factors were determined by evaluating the Mathematics attitude scale. It was also investigated whether there was a difference between the attitudes of the students towards mathematics and geometry courses based on the averages of the responses provided by the students according to the variables of gender, grade level, and parents’ education level. The results of the analyses revealed that there was a significant difference according to the grade level, while it did not differ according to gender and education level of the parents. It was observed that the average increased as the grade level increased.

🔖

Bu Makaleye Atıf Yap

Çizmeci, N., Yalçın, F. (2021). Evaluation of Student Attitudes Using Multivariate Statistical Analysis. Gazi University Journal of Science Part A: Engineering and Innovation, Volume: 8 Issue: 4. https://doi.org/10.54287/gujsa.1025050

📄 Tam Metin PDF Okuyucu

📄

PDF görüntüleyici hazırlanıyor...

Kaynakça (40)

  1. Akay, G. (2011). The effect of peer instruction method on the 8th grade students' mathematics achievement in transformation geometry and attitudes towards mathematics. MSc Thesis, Middle East Technical University.
  2. Aktaş, M. C., & Aktaş, D. Y. (2013). Geometriye yönelik güncel bir tutum ölçeğinin geliştirilmesi. Necatibey Eğitim Fakültesi Elektronik Fen ve Matematik Eğitimi Dergisi, 7(2), 225-247. doi:10.12973/nefmed208
  3. Albayrak, A. S. (2006). Uygulamalı Çok Değişkenli İstatistik Teknikleri. Ankara: Asil Yayın Dağıtım Ltd. Şti.
  4. Alpar, R., (2017). Applied Multivariate Statistical Techniques. Ankara: Detay Yayincilik.
  5. Anderberg, M R. (1973). Cluster Analysis for Applications. Elsevier. doi:10.1016/C2013-0-06161-0
  6. Askar, P. (1986). Developing Attitude Mathematics Scala. Education and Science, 8, 31-36.
  7. Avci, E., Özenir, Ö. S., Coşkuntuncel, O., Özcihan, H. G., & Su, G. (2014). Ortaöğretim Öğrencilerinin Geometri Dersine Yönelik Tutumları. Turkish Journal of Computer and Mathematics Education, 5(3), 304-317.
  8. Avcu, R., & Avcu, S. (2015). Turkish adaptation of Utley geometry attitude scale: A validity and reliability study. Eurasian Journal of Educational Research, 58, 1-23. doi:10.14689/ejer.2015.58.1
  9. Bartlett, M. S. (1950). Tests of significance in factor analysis. British Journal of Statistical Psychology, 3(2), 77-85. doi:10.1111/j.2044-8317.1950.tb00285.x
  10. Berger, N., Mackenzie, E., & Holmes, K. (2020). Positive attitudes towards mathematics and science are mutually beneficial for student achievement: a latent profile analysis of TIMSS 2015. The Australian Educational Researcher, 47, 409-444. doi:10.1007/s13384-020-00379-8
  11. Bindak, R. (2004). Geometri tutum ölçeği güvenirlik geçerlik çalışması ve bir uygulama. PhD Thesis. Dicle University, Diyarbakır.
  12. Box, J. F. (1987). Guinness, Gosset, Fisher, and small samples. Statistical science, 2(1), 45-52.
  13. Bramlett, D. C. & Herron, S. (2007) A study of African-American college students’ attitudes towards mathematics. Journal of Mathematical Sciences and Mathematics Education, 3(2), 43-51.
  14. Buyukozturk, Ş. (2002). Faktör Analizi: Temel Kavramlar ve Ölçek Geliştirmede Kullanımı. Kuram ve Uygulamada Eğitim Yönetimi, 32, 470-483.
  15. Caglayan, O. S. (2010), The capability of high school 1st-grade students’ self-efficacy perception and attitude towards geometry course to predict their academic success in the geometry course. MSc. Thesis, Yildiz Technical University, Istanbul.
  16. Celik, H. C. (2020). The effect of modelling, collaborative and game-based learning on the geometry success of third-grade students. Education and Information Technologies, 25(1), 449-469. doi:10.1007/s10639-019-09983-3
  17. Cepni, S. (2010). Introduction to research and project. Trabzon: Celepler Publishing.
  18. Cokluk, Ö., Şekercioğlu, G., & Buyukozturk, Ş. (2018). Sosyal bilimler için çok değişkenli istatistik: SPSS ve LISREL uygulamaları (5. Baskı). Pegem.
  19. Cronbach, L. J. (1951). Coefficient alpha and the internal structure of tests. Psychometrika, 16(3), 297-334. doi:10.1007/BF02310555
  20. Cureton, E. E., & D'Agostino, R. B. (1993). Factor analysis: An applied approach. Psychology press.
  21. Fisher, R. A. (1925). Statistical methods for research workers. Edinburg: Oliver and Boyd.
  22. Hair, J. F., Black, W. C., Babin, B. J., Anderson, R. E., & Tatham, R. (2006). Multivariate data analysis. Uppersaddle River.
  23. Ibáñez, M. B., Portillo, A. U., Cabada, R. Z., & Barrón, M. L. (2020). Impact of augmented reality technology on academic achievement and motivation of students from public and private Mexican schools. A case study in a middle-school geometry course. Computers & Education, 145, 103734. doi:10.1016/j.compedu.2019.103734
  24. Islamoglu A. H. (2009). Research Methods in Social Sciences: (with SPSS applications). Beta Basim Yayim Dagitim A.S.
  25. Kalayci, S. (2010). Multivariate Statistics Techniques with SPSS Applications. Ankara: Dinamik Akademi Yayin Dagitim.
  26. Kolaczyk, E. D., Lin, L., Rosenberg, S., Walters, J., & Xu, J. (2020). Averages of unlabeled networks: Geometric characterization and asymptotic behavior. The Annals of Statistics, 48(1), 514-538. doi:10.1214/19-AOS1820
  27. Kurbanoglu, N. I., & Takunyaci, M. (2012). An investigation of the attitudes, anxieties and self-efficacy beliefs towards mathematics lessons high school students’ in terms of gender, types of school, and students’ grades. Journal of Human Sciences, 9(1), 110-130.
  28. Mert, M. (2016) Cross-Sectional Data Analysis Computer Applications. Ankara: Detay Yayincilik.
  29. Moloi, K. (2019). Learners and educators as agents of social transformation in dysfunctional South African schools. South African Journal of Education, 39(1), 1-8. doi:10.15700/saje.v39ns1a1800
  30. Moreno-Guerrero, A. J., Rondon Garcia, M., Martinez Heredia, N., & Rodriguez-Garcia, A. M. (2020). Collaborative learning based on harry potter for learning geometric figures in the subject of mathematics. Mathematics, 8(3), 369. doi:10.3390/math8030369
  31. Ozdamar, K. (2004). Statistical Data Analysis Using Software Packages (Multivariate Analysis). Eskişehir: Kaan Kitapevi.
  32. Ozdamar, K. (2017). Structural Equation Modeling for Scale and Test Development. Eskisehir: Nisan Kitabevi.
  33. Pehlivan, H., & Köseoğlu, P. (2010). Attitudes towards biology course and the academic self concept of the students attending at Ankara science high school. Hacettepe University Journal of Education, 38, 225-235.
  34. Peker, M., & Mirasyedioglu, S. (2003) The relationship between attudesand successes of high school students for mathematics course, 14(2)157-166.
  35. Sirvani, H. (2007). The effect of teacher communication with parents on students' mathematics achievement. American Secondary Education, 36(1), 31-46.
  36. Yaratan, H., & Kasapoglu, L. (2012). Eighth grade students’ attitude, anxiety, and achievement pertaining to mathematics lessons. Procedia - Social and Behavioral Sciences, 46, 162-171. doi:10.1016/j.sbspro.2012.05.087
  37. Yasar, M., Çermik, H., & Güner, N. (2014). Türkiye’deki Lise Öğrencilerinin Matematik Dersine İlişkin Tutumları ve Bu Tutumlarını Etkileyen Faktörler. Ankara University Journal of Faculty of Educational Sciences (JFES), 47(2), 41-64. doi:10.1501/Egifak_0000001337
  38. Yildiz, D., & Uzunsakal, E. (2018). A comparison of reliability tests in field researches and an application on agricultural data. Journal of Business Administration and Social Studies, 2(1), 14-28.
  39. Zakaria, E., Chin, L. C., & Daud, M. Y. (2010). The effects of cooperative learning on students’ mathematics achievement and attitude towards mathematics. Journal of Social Sciences, 6(2), 272-275. doi:10.3844/jssp.2010.272.275
  40. URL1: (2020, February 25) https://de.wikipedia.org/wiki/Kaiser-Meyer-Olkin-Kriterium#Kaiser-Meyer-Olkin-Kriterium