Adaptation of Metacognition in Mathematics Scale to Turkish: A Validity and Reliability Study

Author :  

Year-Number: 2022-Volume 14, Issue 3
Yayımlanma Tarihi: 2022-07-25 12:50:26.0
Language : English
Konu : Educational Sciences
Number of pages: 780-791
Mendeley EndNote Alıntı Yap

Abstract

Keywords

Abstract

In this study, the Metacognition in Mathematics (MIM) Scale developed by Fung and Leung (2017) was adapted to Turkish. The study was conducted in a working group of 355 secondary school students. In the confirmatory factor analysis (CFA) performed as a part of structure validity, the four-factor structure in the original MIM form was found to be confirmed in the Turkish culture. The fit indices obtained in the CFA performed on the four-factor structure were found to be within the limits of excellent or acceptable. In the reliability analysis, Cronbach alpha internal consistency coefficients were found to be 0.84 for the prediction dimension, 0.83 for the planning dimension, 0.84 for the monitoring dimension, and 0.84 for the evaluation dimension. The Cronbach alpha coefficient for the entire scale was found to be 0.91. In the item analysis, it was concluded that item correlations for all scale items exceeded the value criterion of 0.30. The results show the validity and reliability of the measurements obtained by the Turkish version of MIM.

Keywords


  • Akın, A. & Abacı, R. (2011). Biliş Ötesi. Ankara: Nobel Yay.

  • Altındağ, M., & Senemoğlu, N. (2013). Metacognitive skills scale. Hacettepe University Journal of Education, 28(1), 15-26.

  • Aktamış, H., & Uça, S. (2010). Motivasyonel, bilişsel ve bilişüstü yeterlilikler ölçeği’nin Türkçeye uyarlanması. İlköğretim Online, 9(3), 980-989.

  • Aydın, U., & Ubuz, B. (2010). Turkish version of the junior metacognitive awareness inventory: The validation study. Education and Science, 35(157), 30-45.

  • Baumgartner, H., & Homburg, C. (1996). Applications of structural equation modeling in marketing and consumer research: A review. International Journal of Research in Marketing, 13(2), 139-161.

  • Bentler, P.M. (1980). Multivariate analysis with latent variables: Causal modeling. Annual Review of Psychology, 31, 419-456.

  • Bentler, P.M., & Bonett, D.G. (1980). Significance tests and goodness of fit in the analysis of covariance structures. Psychological Bulletin, 88, 588-606.

  • Brown, A. L. (1978). Knowing when, where, and how to remember. A problem of metacognition. In R. Glaser (Ed.), Advances in instructional psychology: volume 1 (pp.77-165). Hillsdale, NJ: Erlbaum.

  • Brown, A. (1987). Metacognition, executive control, self-regulation, and other more mysterious mechanisms. In F.Weinert & R. Kluwe, (Eds.), Metacognition, Motivation, and Understanding (pp. 65–116). Hillsdale, NJ: Erlbaum.

  • Browne, M.W., & Cudeck, R. (1993). Alternative ways of assessing model fit. In: Bollen, K.A., & Long, J.S. (Eds.), Testing structural equation models (pp. 136-162). Beverly Hills, CA: Sage.

  • Büyüköztürk, Ş. (2002). Faktör Analizi: Temel Kavramlar ve Ölçek Geliştirmede Kullanımı. Kuram ve Uygulamalarda Eğitim Yönetimi, 32(32), 470-483.

  • Child, D. (2006). The essentials of factor analysis. London: Continuum.

  • Çakıroğlu, A. (2007). Üstbiliş. Türkiye Sosyal Araştırmalar Dergisi, 11(2), 21-27.

  • Çeliköz, N., Erişen,Y., & Şahin, M. (2012). Bilişsel Öğrenme Kuramları. Kaya, Z. (Ed.), Öğrenme ve Öğretme Kuramlar, Yaklaşımlar, Modeller içinde (s.49-74). Ankara: Pegem Akademi Yay.

  • Çögenli, A., & Güven, M. (2014). Bilişüstü öğrenme stratejileri belirleme ölçeğinin geçerlik ve güvenirlik çalışması. Dicle Üniversitesi Ziya Gökalp Eğitim Fakültesi Dergisi, 22, 283-297.

  • Desoete, A., & Roeyers, H. (2002). Off-line metacognition - a domain-specific retardation in young children with learning disabilities?.Learning Disability Quarterly,25(2), 123-139.

  • Domino, G., & Domino, M. L. (2006). Psychological testing: An introduction. Cambridge: Cambridge University Press.

  • Erkuş, A. (2012). Psikolojide ölçme ve ölçek geliştirme. Ankara: Pegem Akademi.

  • Favieri, A. G. (2013). General metacognitive strategies inventory (GMSI) and the metacognitive integrals strategies inventory (MISI). Electronic Journal of Research in Educational Psychology,11(3), 831-850.

  • Finch, J. F., & West, S. G. (1997). The investigation of personality structure: Statistical models. Journal of Research in Personality, 31(4), 439–485.

  • Flavell, J. H. (1976). Metacognitive aspects of problem solving. In L. B. Resnick (Ed.), The nature of intelligence (pp. 231-236). Hillsdale, NJ: Erlbaum.

  • Flavell, J.H. (1979). Metacognition and Cognitive Monitoring: A New Area of Cognitive - Developmental Inquiry. American Psychologist, 34(10), 906-911.

  • Fraenkel, J. R., Wallen, N. E., & Hyun, H. H. (2012). How to design and evaluate research in education. New York: McGraw Hill.

  • Fung, C., H., & Leung, C., K. (2017). Pilot Study on the Validity and Reliability of MIM: An Alternative Assessment for Measuring Metacognition in Mathematics among College Students. American International Journal of Contemporary Research, 7(4). 11-22

  • Hair, J. F., Black, W. C., Babin, B. J., Anderson, R. E. & Tatham, R. L. (1998). Multivariate data analysis (Vol. 5, No. 3, pp. 207-219). Upper Saddle River, NJ: Prentice hall.

  • Hartman, J. H. (1998). Metacognition in teaching and learning: An introduction. Instructional Science. 26, 1–3.

  • Kaplan, A., & Duran, M. (2016). Ortaokul Öğrencilerine Yönelik Matematiksel Üstbiliş Farkındalık Ölçeği: Geçerlik ve Güvenirlik Çalışması. Atatürk Üniversitesi Kazım Karabekir Eğitim Fakültesi Dergisi, 32, 1-17.

  • Karakelle, S., & Saraç, S. (2007). Çocuklar için üst bilişsel farkındalık ölçeği (ÜBFO-Ç) A ve B formları: Geçerlik ve güvenirlik çalışması. Türk Psikoloji Yazıları, 10(20), 87-103.

  • Kline, R.B. (2011). Principles and practice of structural equation modeling. New York: The Guilford Press.

  • Lai, E. R. (2011). Metacognition: A Literature Review. Pearson Research Report. Retrieved from https://psychcorp.pearsonassessments.com/hai/images/tmrs/Metacognition_Literature_Review_Final. pdf.

  • Leech, N.L., Barlett, K.C., & Morgan, G.A. (2005). SPSS for intermediate statistics; use and interpretation. Mahwah, NJ: Lawrence Erlbaum Associates.

  • Mardıa, K. V. (1970). Measures of multivariate skewness and kurtosis with applications. Biometrika, 57(3), 519- 530.

  • Marsh, H.W., Hau, K.T., Artelt, C., Baumert, J., & Peschar, J.L. (2006). OECD’s brief self-report measure of educational psychology’s most useful affective constructs: Cross-cultural, psychometric comparisons across 25 countries. International Journal of Testing, 6(4), 311-360.

  • Ministry of National Education. (2018). Ortaöğretim Matematik Dersi (9,10,11 ve 12. Sınıflar) Öğretim Programı. Retrieved from http://mufredat.meb.gov.tr/ProgramDetay.aspx?PID=343

  • Mevarech, Z. R., & Fridkin, S. (2006). The effects of IMPROVE on mathematical knowledge, mathematical reasoning and metacognition. Metacognition and learning, 1(1), 85-97.

  • Mokhtari, K., & Reichard, C. A. (2002). Assessing students’ metacognitive awareness of reading strategies. Journal of Educational Psychology, 94(2), 249-25

  • Namlu, A. G. (2004). Bilişötesi öğrenme stratejileri ölçme aracının geliştirilmesi: Geçerlik ve güvenirlik çalışması. Anadolu Üniversitesi Sosyal Bilimler Dergisi, 2, 123-136.

  • O’Neil, H. F., & Abedi, J. (1996). Reliability and validity of a state metacognitive inventory: Potential for alternative assessment. The Journal of Educational Research, 89(4), 234-245.

  • Öztürk, M., Akkan, Y. & Kaplan, A. (2018). 6-8. Sınıf Üstün Yetenekli Öğrencilerin Problem Çözerken Sergiledikleri Üst Bilişsel Beceriler: Gümüşhane Örneği. Ege Eğitim Dergisi, 19(2), 446-469.

  • Paris, S.G., & Jacobs, J. E. (1984). The benefits of informed instruction for children’s reading awareness and comprehension skills. Child development, 55, 2083-2093

  • Schunk, H.D. (2009). Öğrenme Teorileri. (M. Şahin, Çev.). Ankara: Nobel Yay.

  • Schraw, G., & Dennison, R. S. (1994). Assessing metacognitive awareness. Contemporary Educational Psychology, 19, 460-475

  • Senemoğlu, N. (2010). Gelişim Öğrenme ve Öğretim (16.Baskı). Ankara: Pegem Akademi Yay.

  • Yıldırım, S. (2010). Üniversite öğrencilerinin biliş ötesi farkındalıkları ile benzer matematiksel problemleri çözmeleri arasındaki ilişki. (Unpublished master’s thesis). Gaziosmanpaşa Üniversitesi, Tokat, Türkiye.

  • Pallant, J. (2005). SPSS survival manual: A step by step guide to data analysis using SPSS for windows. Australian Copyright, Australia.

  • Panaoura A., & Philippou G., (2007). The Developmental Change of Young Pupils’ Metacognitive Ability in Mathematics in Relation to Their Cognitive Abilities. Cognitive Development 22, 149–164.

  • Sperling, R. A., Howard, B. C., Miller, L. A., & Murphy, C. (2002). Measures of children's knowledge and regulation of cognition. Contemporary Educational Psychology, 27(1), 51-79.

  • Şeker, H., & Gençdogan, B. (2014). Psikolojide ve Eğitimde Ölçme Aracı Geliştirme. Ankara: Nobel Yayıncılık.

  • Tabachnick, B. G., Fidell, L. S. & Ullman, J. B. (2007). Using multivariate statistics (Vol. 5). Boston, MA: Pearson.

  • Zakaria, E., Yazid, Z., & Ahmad, S. (2009), Exploring Matriculation Students’ Metacognitive Awareness and Achievement in a Mathematics Course. The International Journal of Learning. 16,(2), 333-348.

                                                                                                                                                                                                        
  • Article Statistics