STEM education has been a topic of interest for many years, among those are the issue of decreasing number of students showing interest in continuing the academic pathway in STEM. It is also a global issue where among who refuse to take up STEM pathways are those who are high performer students. Among the factors that lead to this situation is low STEM self-efficacy. This study aims to validate the measurement model for the STEM self-efficacy construct in the context of Malaysian STEM subjects’ high performers. Generally, the Exploratory Factor Analysis (EFA) is needed to uncover the suitable items to be used in research instruments. This study adopted a purposive research sampling with data collected from the Law and TESL fundamentals students enrolled in a public university in Malaysia. Items with a 10-interval scale were used. Using the Principal Component extraction method with Varimax Rotation, the researchers performed the EFA procedure on construct elements using SPSS software. Bartlett’s Test of Sphericity and the Kaiser-Meyer-Olkin (KMO) sampling adequacy were also performed. Cronbach’s alpha was used to test the reliability of the retained items. All the 15 items for STEM self-efficacy are retained. Based on the factor analysis, this study finalized the instrument of 15 STEM self-efficacy items; yielding 3 dimensions, i.e., science self-efficacy (7 items), engineering self-efficacy (5 items), and mathematics self-efficacy (3 items). This study explained in detail the procedures for carrying out the STEM self-efficacy construct. The researcher hopes that this study adds new insight into STEM self-efficacy, particularly among the high STEM achievers.
Afthanorhan, W. M. A. B. W., Ahmad, S., & Mamat, I. (2014). Pooled Confirmatory Factor Analysis (PCFA) using structural equation modeling on volunteerism program: A step by step approach. International Journal of Asian Social Science, 4(5), 642-653.
Arif, S., Iqbal, J., & Khalil, U. (2019). Factors influencing students’ choices of academic career in Pakistan. FWU Journal of Social Sciences, 13(1), 35-47.
Awang, Z. (2010). Structural Equation Modeling Using AMOS Graphic. Penerbit Universiti Teknologi MARA
Awang, Z. (2012). Structural Equation Modeling Using AMOS Graphic.Penerbit Universiti Teknologi MARA
Awang, Z., Afthanorhan, A., Mamat, M., & Aimran, N. (2017). Modeling structural model for higher order constructs (HOC) using marketing model. World Applied Sciences Journal, 35(8), 1434-1444.
Baistaman, J., Nawi, F. A. M., Mustapha, W. M. W., & Mamat, M. (2022). Exploratory Factor Analysis of Financial Literacy in the Malaysian Context. In Proceedings (Vol. 82, No. 1, p. 24). MDPI.
Baldwin, J. A., Ebert?May, D., & Burns, D. J. (1999). The development of a college biology self?efficacy instrument for nonmajors. Science education, 83(4), 397-408.
Bandura, A. (1977). Self-efficacy: toward a unifying theory of behavioral change. Psychological review, 84(2), 191.
Bloomfield, J., & Fisher, M. J. (2019). Quantitative research design. Journal of the Australasian Rehabilitation Nurses Association, 22(2), 27-30.
Denissen, J. J., Zarrett, N. R., & Eccles, J. S. (2007). I like to do it, I'm able, and I know I am: Longitudinal couplings between domain?specific achievement, self?concept, and interest. Child development, 78(2), 430-447.
DeWitt, J., Osborne, J., Archer, L., Dillon, J., Willis, B., & Wong, B. (2013). Young children's aspirations in science: The unequivocal, the uncertain and the unthinkable. International journal of science education, 35(6), 1037-1063.
DeWitt, J., Osborne, J., Archer, L., Dillon, J., Willis, B., & Wong, B. (2013). Young Children’s Aspirations in Science: The unequivocal, the uncertain and the unthinkable. International Journal of Science Education, 35(6), 1037–1063. https://doi.org/10.1080/09500693.2011.608197
Dorfman, B. S., & Fortus, D. (2019). Students' self?efficacy for science in different school systems. Journal of research in science teaching, 56(8), 1037-1059.
Ekmekci, A., Sahin, A., & Waxman, H. (2019). Factors affecting students’ STEM choice and persistence: A synthesis of research and findings from the second year of a longitudinal high school STEM tracking study. In STEM Education 2.0 (pp. 279-304). Brill.
Gaylor, L., & Nicol, J. J. (2016). Experiential high school career education, self-efficacy, and motivation. Canadian Journal of Education/Revue canadienne de l’éducation, 39(2), 1-24.
Ghaleb, A. B., Ghaith, S., & Akour, M. (2015). Self-efficacy, achievement goals, and metacognition as predicators of academic motivation. Procedia-social and behavioral sciences, 191, 2068-2073.
Giang, N. T., & Nhung, D. T. H. (2022). An assessment of factors influencing career choices among fresh graduates: a survey of students majoring in business and economics. Journal of International Economics and Management, 22(1), 78-99.
Gödek, Y. (2004). The development of science education in developing countries. Ahi Evran Üniversitesi K?r?ehir E?itim Fakültesi Dergisi, 5(1), 1-11.
Hair, J. F., Ringle, C. M., & Sarstedt, M. (2011). PLS-SEM: Indeed a silver bullet. Journal of Marketing theory and Practice, 19(2), 139-152.
Hair, J. F., Wolfinbarger, M. F., Ortinau, D. J., Bush, R. P. (2008) Essentials of Marketing Research. McGraw-Hill/Higher Education.
Hoque, A. S. M. M., Awang, Z., Baharu, S. M. A. T., & Siddiqui, B. A. (2018). Upshot of Generation ‘Z’Entrepreneurs’ E-lifestyle on Bangladeshi SME Performance in the Digital Era. International Journal of Entrepreneurship and Small & Medium Enterprise (IJESME), 5, 97-118.
Hutchison, M. A., Follman, D. K., Sumpter, M., & Bodner, G. M. (2006). Factors influencing the self?efficacy beliefs of first?year engineering students. Journal of Engineering Education, 95(1), 39-47.
Kaur, A. H., Gopinathan, S., & Raman, M. (2020, June). Work-in-Progress—Role of Innovative Teaching Strategies in Enhancing STEM Education in Malaysia. In 2020 6th International Conference of the Immersive Learning Research Network (iLRN) (pp. 359-362). IEEE.
Kola, A. J. (2013). Importance of science education to national development and problems militating against its development. American Journal of Educational Research, 1(7), 225-229.
Kranzler, J. H., & Pajares, F. (1997). An exploratory factor analysis of the mathematics self-efficacy scale—Revised (MSES-R). Measurement and evaluation in counseling and development, 29(4), 215-228.
Lazarides, R., Buchholz, J., & Rubach, C. (2018). Teacher enthusiasm and self-efficacy, student-perceived mastery goal orientation, and student motivation in mathematics classrooms. Teaching and Teacher Education, 69, 1-10.
MacCallum, R. C., Widaman, K. F., Zhang, S., & Hong, S. (1999). Sample size in factor analysis. Psychological methods, 4(1), 84.
Mahmud, Z. (2011). Handbook of Research Methodology. University Publication Centre.
Mamaril, N. A., Usher, E. L., Li, C. R., Economy, D. R., & Kennedy, M. S. (2016). Measuring undergraduate students' engineering self?efficacy: A validation study. Journal of Engineering Education, 105(2), 366-395.
Shahali, M. E. H., Halim, L., Rasul, M. S., Osman, K., & Arsad, M. N. (2019). Students’ interest towards STEM: a longitudinal study. Research in Science & Technological Education, 37(1), 71-89.
Mullet, D. R., Rinn, A. N., & Kettler, T. (2017). Catalysts of Women’s Talent Development in STEM: A Systematic Review. Journal of Advanced Academics, 28(4), 253–289.
National Research Council. (2012). A framework for K-12 science education: Practices, crosscutting concepts, and core ideas. National Academies Press.
Nayak, T., & Sahoo, C. K. (2015). Quality of work life and organizational performance: The mediating role of employee commitment. Journal of Health management, 17(3), 263-273.
Nunnally, J. C. (1978). An overview of psychological measurement. Clinical diagnosis of mental disorders: A handbook, 97-146.
Pallant, J. (2020). SPSS survival manual: A step by step guide to data analysis using IBM SPSS. Routledge.
Phang, F. A., Abu, M. S., Ali, M. B., & Salleh, S. (2014). Faktor penyumbang kepada kemerosotan penyertaan pelajar dalam aliran sains: satu analisis sorotan tesis. Sains Humanika, 2(4).
Renninger, K. A., & Hidi, S. (2019). Interest development and learning. In Cambridge University Press eBooks (pp. 265–290). https://doi.org/10.1017/9781316823279.013
Rivera, H., & Li, J. T. (2020, April). Potential factors to enhance students' STEM college learning and career orientation. In Frontiers in Education (Vol. 5, p. 25). Frontiers Media SA.
Sekaran, U., Bougie, R. (2010) Research Methods for Business: A Skill Building Approach. John Wiley & Sons.
Shahali, E. H. M., Ismail, I., & Halim, L. (2017). STEM education in Malaysia: Policy, trajectories and initiatives. Asian Research Policy, 8(2), 122-133.
Singh, T. S. (2022). Importance Of Science Education. Global Journal of Applied Engineering in Computer Science and Mathematics (GJAECSMA)–Special Edition.
Sjøberg, S., & Schreiner, C. (2005). How do learners in different cultures relate to science and technology? Results and perspectives from the project ROSE (the Relevance of Science Education). In Asia-Pacific forum on science learning and teaching (Vol. 6, No. 2, pp. 1-17). The Education University of Hong Kong, Department of Science and Environmental Studies.
Sze, A. W. K., Hassan, N. C., Jaafar, W. M. W., Ahmad, N. A., & Arsad, N. M. (2022). Development of a STEM Self-Efficacy Scale for Malaysian Primary School Children: A Validity and Reliability Study. Asia-Pacific Social Science Review, 22(1).
Ugras, M. (2018). The Effects of STEM Activities on STEM Attitudes, Scientific Creativity and Motivation Beliefs of the Students and Their Views on STEM Education. International Online Journal of Educational Sciences, 10(5).
van Aalderen?Smeets, S. I., Walma van der Molen, J. H., & Xenidou?Dervou, I. (2019). Implicit STEM ability beliefs predict secondary school students' STEM self?efficacy beliefs and their intention to opt for a STEM field career. Journal of research in science teaching, 56(4), 465-485.
van den Hurk, A., Meelissen, M., & van Langen, A. (2019). Interventions in education to prevent STEM pipeline leakage. International Journal of Science Education, 41(2), 150-164.
Velicer, W. F., & Fava, J. L. (1998). Affects of variable and subject sampling on factor pattern recovery. Psychological methods, 3(2), 231.
Wigfield, A., & Eccles, J. S. (2000). Expectancy–value theory of achievement motivation. Contemporary educational psychology, 25(1), 68-81.
Wu, F., Fan, W., Arbona, C., & de la Rosa-Pohl, D. (2020). Self-efficacy and subjective task values in relation to choice, effort, persistence, and continuation in engineering: an Expectancy-value theory perspective. European Journal of Engineering Education, 45(1), 151-163.
Yahaya, T., Idris, K., Suandi, T., & Ismail, I. (2018). Adapting instruments and modifying statements: The confirmation method for the inventory and model for information sharing behavior using social media. Management Science Letters, 8(5), 271-282.
Zainudin, A. (2015). SEM made simple: A gentle approach to learning structural equation modeling. MPWS Rich Publication Sdn. Bhd.
Zajacova, A., Lynch, S. M., & Espenshade, T. J. (2005). Self-efficacy, stress, and academic success in college. Research in higher education, 46, 677-706.
Zimmerman, B. J. (2000). Self-efficacy: An essential motive to learn. Contemporary educational psychology, 25(1), 82-91.