An Investigation of the Relationship between Academic Buoyancy and Academic Performance among Senior High School Students: A Quantitative Research Approach
DOI:
https://doi.org/10.54536/ijm.v1i1.1474Keywords:
Academic Buoyancy, Academic Performance, Grade Point Average, Senior High School, ResilienceAbstract
Academic buoyancy is a student’s ability to effectively deal with academic setbacks and challenges. This study aimed to determine whether academic buoyancy predicts academic performance among high school students. The objective of this study was to investigate the relationship between academic buoyancy and academic performance among high school students. Participants were 142 high school students who completed a questionnaire that included measures of academic buoyancy and grade point average (GPA). Data were analyzed using simple linear regression and frequency distribution. The results showed that academic buoyancy predicted academic performance among high school students. About 11.6% of the variation in academic performance was explained by academic buoyancy. The average GPA of the participants was 86.51, and the average academic buoyancy score was 4.69. The findings suggest that academic buoyancy is a valuable predictor of academic performance among high school students. Teachers and educators can use this knowledge to help students develop their academic buoyancy and improve their academic performance.
References
Jiang, X., Huebner, E. S., & Hills, K. J. (2020). Academic buoyancy and academic outcomes in college students: The mediating role of academic satisfaction. Current Psychology, 39(5), 1545-1553. https://doi.org/10.1007/s12144-019-00358-y
Krathwol, D.R. (2009). Methods of educational and Social Science Research. Third Edition. Waveland Press, Inc.Martin, A. J. (2006). Personal bests (PBs): A proposed multidimensional model and empirical analysis. British Journal of Educational Psychology, 76, 803-825.
Martin, A. J. (2007). Motivation and engagement in diverse performance settings: Testing their generality across school, university/college, work, sport, music, and daily life. Journal of Research in Personality, 42, 1607-1612.
Martin, A. J. (2008a). Examining a multidimensional model of student motivation and engagement using a construct validation approach. British Journal of Educational Psychology, 77, 413 – 440.
Martin, A.J. (2008b). How domain specific is motivation and engagement across school, sport, and music? A substantive-methodological synergy assessing young sportspeople and musicians. Contemporary Educational Psychology, 33, 785-813.
Martin, A. J. (2009). Motivation and engagement across the lifespan: A developmental construct validity study of elementary school, high school, and university/college students. Educational and Psychological Measurement, 69(5), 794-824.
Martin, A. J., & Marsh, H. W. (2008a). Academic buoyancy: Towards an understanding of students’ everyday academic resilience. Journal of School Psychology, 46, 53-83.
Martin, A. J., & Marsh, H. W. (2013). Academic buoyancy: Towards an understanding of students’ everyday academic resilience. Journal of School Psychology, 51(3), 383-402. https://doi.org/10.1016/j.jsp.2013.04.002
Putwain, D. W., Connors, L., Symes, W., & Douglas-Osborn, E. (2012). Is academic buoyancy anything more than adaptive coping? Anxiety, Stress & Coping, 25(3), 349-358. https://doi.org/10.1080/10615806.2011.608041
Schmitt, N., Keeney, J., Oswald, F. L., Pleskac,T. J., Billington, A.Q., Sinha, R., & Zorzie, M. (2009). Prediction of 4-year college student performance using cognitive and noncognitive predictors and the impact on demographic status of admitted students. Journal of Applied Psychology, 94(6), 1479 – 1497.
Strickland, C. R. (2015). Academic Buoyancy as an Explanatory Factor for College Student Achievement and Retention A Dissertation in Educational Psychology. The Pennsylvania State University. The Graduate School College of Education.
West SG, Finch JF, Curran PJ. (1995). Structural equation models with nonnormal variables: problems and remedies. In: Hoyle RH, editor. Structural equation modeling: Concepts, issues and applications. Newbery Park, CA: Sage; 56–75.
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