EXAM PRESSURE AND MOTIVATION AND LIFE SATISFACTION AMONG ADOLESCENTS
Authors
Yuxuan Yang
Share
Annotation
Objective: This study aims to compare the exam-related pressure and motivation and life satisfaction among adolescents between China and the United States.
Methods: This study used data from the 2015 Programme for International Student Assessment (PISA). PISA is the survey of adolescent students as well as their parents and schools around the world. Logistic regression analysis and artificial neural network are applied. ROC curves and Area Under the Curve (AUC) are estimated.
Results: logistic regression showed that U.S. students are 1.137 times more likely to feel satisfied than Chinese students; exam-related pressure variables are associated with lower life satisfaction (OR<1), while exam-related motivation variables are associated with students’ higher life satisfaction (OR>1). Artificial neural network also showed that the variables of country, exam-related pressure and motivations affect students’ life satisfaction
Conclusion:
Data from this international survey revealed that students in the U.S. have higher life satisfaction than students from China. Exam-related pressure decrease life satisfaction while exam-related motivation increases life satisfaction.
Keywords
Authors
Yuxuan Yang
Share
References:
1. OECD. Programme for International Student Assessment (PISA) 2015 Database: Student Questionnaire data file, Organization for Economic Co-operation and Development. Paris, France (2016).
2. Evaluation of Predictive Models. Decision Systems Group, Brigham and Women’s Hospital Harvard Medical School.
3. Garson, G. D. Interpreting neural network connection weights. Artif. Intell. Expert 6, 46–51 (1991).
4. Peng, C. J., Lee, K. L., Ingersoll, G. M. An Introduction to Logistic Regression Analysis and
Reporting. The Journal of Educational Research, 96(1), 3-14.
5. Tabachnick, B., and Fidell, L. Using Multivariate Statistics (4th Ed.). Needham Heights,
MA: Allyn & Bacon, 2001.
6. StatSoft, Electronic Statistics Textbook, http://www.statsoft.com/textbook/stathome.html.
7. Stokes, M., Davis, C. S. Categorical Data Analysis Using the SAS System, SAS Institute
Inc., 1995.
Other articles of the issue
