Pengembangan Instrumen Kecemasan Belajar Fisika bagi Siswa SMA
Abstract
Physics learning anxiety is an affective factor that can influence students’ readiness to learn, concentration, and academic achievement. This study aimed to develop a valid and reliable instrument to measure physics learning anxiety among senior high school students. The development procedure followed the stages of research and development (R&D), including preliminary study, construction of dimensions and indicators, item development, content validation by five experts, limited trial testing (N = 30), and large-scale testing (N = 150). Content validity was analyzed using the Content Validity Ratio (CVR) and Content Validity Index (CVI). Empirical validity was determined through corrected item–total correlation (r_it), while reliability was assessed using Cronbach’s Alpha. The results showed that the instrument demonstrated strong content validity, indicated by a high CVI value. Empirical testing revealed three items (25, 34, and 37) that did not meet the r_it ≥ 0.30 criterion and were therefore removed. The final instrument consisted of 37 items with very high reliability (α = 0.939). This instrument is suitable for use as a measurement tool for assessing physics learning anxiety among senior high school students.
References
Alsop, S., & Watts, M. (2003). Science education and affect. International Journal of science education, 25(9), 1043-1047. https://doi.org/10.1080/0950069032000052180
Azwar, S. (2012). Reliabilitas dan validitas (Edisi ke-4). Pustaka Pelajar.
Bandura, A. (1997). Self-efficacy: The exercise of control (Vol. 11). Freeman.
Camacho-Morles, J., Slemp, G. R., Pekrun, R., Loderer, K., Hou, H., & Oades, L. G. (2021). Activity achievement emotions and academic performance: A meta-analysis. Educational psychology review, 33(3), 1051-1095. https://doi.org/10.1007/s10648-020-09585-3
Cioffi, A., Galano, S., Passeggia, R., & Testa, I. (2024). Validation of two test anxiety scales for physics undergraduate courses through confirmatory factor analysis and Rasch analysis. Physical Review Physics Education Research, 20(1), 010126. https://doi.org/10.1103/PhysRevPhysEducRes.20.010126
Creswell, J. W. (2012). Educational research: Planning, conducting, and evaluating quantitative and qualitative research (4th ed.). Boston, MA: Pearson.
DeVellis, R. F., & Thorpe, C. T. (2021). Scale development: Theory and applications. Sage publications.
England, B. J., Brigati, J. R., Schussler, E. E., & Chen, M. M. (2019). Student Anxiety and Perception of Difficulty Impact Performance and Persistence in Introductory Biology Courses. CBE life sciences education, 18(2), ar21. https://doi.org/10.1187/cbe.17-12-0284
Flake, J. K., Pek, J., & Hehman, E. (2017). Construct validation in social and personality research: Current practice and recommendations. Social Psychological and Personality Science, 8(4), 370-378. https://doi.org/10.1177/1948550617693063
Jiang, X., Li, Y., Wang, X., Zhang, Y., & Zhang, W. (2026). Academic emotions and learning engagement among university students: The mediating role of achievement motivation and the moderating role of teacher support. Frontiers in Psychology, 17, Article 1637911. https://doi.org/10.3389/fpsyg.2026.1765169
Kamata, N., Koul, R., Tanitteerapan, T., & Srisupawong, Y. (2025). Teacher–student relationships, classroom anxiety, and physics identity of high school students. Eurasia Journal of Mathematics, Science and Technology Education, 21(7), em2657. https://doi.org/10.29333/ejmste/16559
Laguindab, M. S., Abdulrachman, N. M., & Basher, S. M. (2025). Exploring the root causes of physics aversion among Grade 12 STEM students: A qualitative case study at RPMD National Science High School. International Journal of Research and Innovation in Social Science, 8(Special Issue on Education), 6218–6232. https://doi.org/10.47772/IJRISS.2024.803465S
Lawshe, C. H. (1975). A quantitative approach to content validity. Personnel psychology, 28(4).
Li, Y., Whitcomb, K., & Singh, C. (2020). How learning environment predicts male and female students' physics motivational beliefs in introductory physics courses. arXiv preprint arXiv:2007.07441. https://doi.org/10.1119/perc.2020.pr.Li
Loderer, K., Pekrun, R., & Lester, J. C. (2020). Beyond cold technology: A systematic review and meta-analysis on emotions in technology-based learning environments. Learning and instruction, 70, 101162. https://doi.org/10.1016/j.learninstruc.2018.08.002
Lynn, M. R. (1986). Determination and quantification of content validity. Nursing research, 35(6), 382-386.
Macher, D., Paechter, M., Papousek, I., Ruggeri, K., Freudenthaler, H. H., & Arendasy, M. (2013). Statistics anxiety, state anxiety during an examination, and academic achievement. The British journal of educational psychology, 83(Pt 4), 535–549. https://doi.org/10.1111/j.2044-8279.2012.02081.x
Mallow, J. V. (2006). Science anxiety: Research and action. Handbook of college science teaching, 3-14.
Maries, A., & Singh, C. (2023). Helping students become proficient problem solvers Part I: A brief review. Education Sciences, 13(2), 156. https://doi.org/10.3390/educsci13020156
Namkung, J. M., Peng, P., & Lin, X. (2019). The relation between mathematics anxiety and mathematics performance among school-aged students: A meta-analysis. Review of educational research, 89(3), 459-496. https://doi.org/10.3102/0034654319843494
Pekrun, R. (2017). Emotion and achievement during adolescence. Child Development Perspectives, 11(3), 215-221. https://doi.org/10.1111/cdep.12237
Polit, D. F., & Beck, C. T. (2006). The content validity index: are you sure you know what's being reported? Critique and recommendations. Research in nursing & health, 29(5), 489-497. https://doi.org/10.1002/nur.20147
Stang, J. B., Altiere, E., Ives, J., & Dubois, P. J. (2020). Exploring the contributions of self-efficacy and test anxiety to gender differences in assessments in introductory physics. In 2020 Physics Education Research Conference Proceedings. https://doi.org/10.1119/perc.2020.pr.Stang
Stefana, A., Damiani, S., Granziol, U., Provenzani, U., Solmi, M., Youngstrom, E. A., & Fusar-Poli, P. (2025). Psychological, psychiatric, and behavioral sciences measurement scales: Best practice guidelines for their development and validation. Frontiers in Psychology, 15, 1494261. https://doi.org/10.3389/fpsyg.2024.1494261
Wu, C., Jing, B., Gong, X., Mou, Y., & Li, J. (2021). Student's learning strategies and academic emotions: their influence on learning satisfaction during the COVID-19 pandemic. Frontiers in psychology, 12, 717683. https://doi.org/10.3389/fpsyg.2021.717683
Zheng, S., Zhang, J., Wang, J., & Shen, R. (2024). English language learning anxiety and academic burnout in Chinese freshmen: A chain mediating approach. Frontiers in Psychology, 15, Article 1340142. https://doi.org/10.3389/fpsyg.2024.1340142
Zumbo, B. D., & Hubley, A. M. (Eds.). (2017). Understanding and investigating response processes in validation research (Vol. 26). New York, NY: Springer. https://doi.org/10.1007/978-3-319-56129-5
