ISSN: 2222-6990
Open access
Using quantitative research methods based on Structural Equation Modeling (SEM) in educational research, to analyze the various relationships among variables in the model formed based on the theories studied, few researchers did. This study was conducted to determine the effectiveness of motivation, learning style and discipline of teach on academic achievement Form four students Additional Mathematics in Kuala Terengganu District. The instrument used in this study is based on the School Inventory Learning model developed by Selmes (1987). The item questionnaire in this instrument has been adapted to the investigation investigation. A total of 260 research samples were included in the study, consisting of four forms students in 10 schools in Kuala Terengganu District. Data were analyzed using IBM-SPSS-AMOS (SEM) program version 21.0. SEM analysis consists of two main models: the measurement model and the Structural model. Prior to the SEM test, some adjustment tests were performed to ensure that the tested indicator actually represented the measured construct. Two analyzes in this study are prerequisites that have been met before the SEM analysis is done ie Factor Exploration Analysis (EFA) and Confirmatory Factor Analysis (CFA). The findings indicate that the motivation, learning style and discipline of learning have a positive and significant effect on student achievement in academic achievement. Furthermore, motivation also has a positive and significant impact on the learning discipline, but the learning style has no positive and not significant effect on the learning discipline. Intermediate analysis findings for the learning discipline take place between motivation and academic achievement and do not occur between learning styles and academic achievement. The findings in this study indicate that educators need to instill enthusiasm for students as well as to know their students' learning styles and to ensure that students have a learning discipline, because it can affect student academic achievement.
Alias, H., & Husain, H. (2017). Structural Equation Modelling (SEM) & manual AMOS graphic (edisi Bahasa Melayu) Modul 1.
Awang, Z. (2011). A handbook on SEM: Structural Equation Modelling. Kelantan: Universiti Teknologi MARA.
Awang, Z. (2012). Research methodology and data analysis. Penerbit Universiti Teknologi MARA Press (UiTM Press).
Awang, Z. (2015). SEM Made Simple: A Gentle Approach to Learning Structural Equation Modeling. Bandar Baru Bangi, MPWS Rich Resources.
Awang, Z., Afthanorhan, A., Mohamad, M., & Asri, M. A. M. (2015a). An evaluation of measurement model for medical tourism research: the confirmatory factor analysis approach. International Journal of Tourism Policy, 6(1), 29-45.
Yahaya, A., & Obih, D. M. (2010). Hubungan antara motivasi, gaya pembelajaran dan iklim bilik darjah terhadap pencapaian akademik pelajar tingkatan empat. In: National Seminar Sabah.
Sumantri, B. (2010). Pengaruh disiplin pembelajaran terhadap prestasi pembelajaran siswa kelas XI SMK PGRI 4 Ngawi Tahun Pelajaran 2009/2010. Yayasan STKIP PGRI Ngawi, Media Prestasi Vol.. VI No. 3 Edisi Desember 2010.
Bentler, P. M. (1990). Comparative fit indexes in structural models. Psychological bulletin, 107(2), 238.
Bollen, K. A., & Stine, R. A. (1992). Bootstrapping goodness-of-fit measures in structural equation models. Sociological Methods and Research, 21, 205–229.
Brown, M. W., and Cudeck, R. (1993). Alternative Ways of Assessing Model Fit. Sage focus editions, 154, 136-136.
Byrne, B. M. (1998). Structural equation modeling with LISREL, PRELIS and SIMPLIS: Basic concepts, applications and programming. Mahwah, New Jersey: Lawrence Erlbaum Assiociates.
Byrne, B. M. (2001). Structural equation modeling with AMOS: Basic concepts, applications, and programming. Mahwah, NJ: Lawrence Eribaum Associates.
Byrne, B. M. (2013). Structural equation modeling with AMOS: Basic concepts, applications, and programming (2nd ed.). New York: Routledge.
Chua, Y. P. (2014d). Kaedah dan statistik penyelidikan: Ujian regresi, analisis faktor, dan analisis SEM, Buku 5 (edisi 2). Selangor: McGraw-Hill Education (Malaysia) Sdn. Bhd.
Hair, J. F., Black, W. C., Babin, B. J., Anderson, R. E., & Tatham, R. L. (2006). Multivatiate data analysis (6th ed.). New Jersey: Pearson Education International.
Hoque, A. S. M. M., Awang, Z., Jusoff, K., Salleh, F., and Muda, H. (2017). Social Business Efficiency: Instrument Development and Validation Procedure using Structural Equation Modelling. International Business Management, 11(1), 222-231.
Joachim Joseph Masilamany (2014). Motivation and learning styles in relation to academic achievement in English language. Master’s Project, Open University Malaysia (OUM).
Joreskog, K. G., & Sorbom, D. (1993). LISREL 8, Structural equation modelling with the SIMPLIS command language. Chicago, IL: Scientific Software International Inc.
Kashif, M., Samsi, S. Z. M., Awang, Z., & Mohamad, M. (2016). EXQ: measurement of healthcare experience quality in Malaysian settings: A contextualist perspective. International Journal of Pharmaceutical and Healthcare Marketing, 10(1), 27-47.
Kline, R. B. (2016). Principles and practice of structural equation modeling (4th ed.). New York: The Guilford Press.
Locke, E. A. (2005). "Why emotional intelligence is an invalid concept". Journal of Organizational Behavior. 26(4): 425.
Marsh, H. W., & Hocevar, D. (1985). Application of confirmatory factor analysis to the study of selfconcept: First-and higher order factor models and their invariance across groups. Psychological bulletin, 97(3), 562.
Nelson B. J. (2003). An investigation of the impact of learning style factors on, college Students retention and achievement. Disertasi education doctor. St. John’s University. Dissertation Abstracts International 53 (09): 3121.
Schumucker, R. E., & Lomax, R. (2004). A beginner’s guide to structural equation modeling (2nd ed.). Mahwah, New Jersey: Lawrence Erlbaun Associates Publishers.
Selmes I. P.
In-Text Citation: (Chik & Abdullah, 2018)
To Cite this Article: Chik, Z., & Abdullah, A. H. (2018). Effect of Motivation, Learning Style and Discipline Learn about Academic Achievement Additional Mathematics. International Journal of Academic Research in Business and Social Sciences, 8(4), 755–769.
Copyright: © 2018 The Author(s)
Published by Human Resource Management Academic Research Society (www.hrmars.com)
This article is published under the Creative Commons Attribution (CC BY 4.0) license. Anyone may reproduce, distribute, translate and create derivative works of this article (for both commercial and non-commercial purposes), subject to full attribution to the original publication and authors. The full terms of this license may be seen at: http://creativecommons.org/licences/by/4.0/legalcode