Exploring Critical Predictors of Math and Science Achievement for High Achieving Students in TIMSS Data: Application of Elastic-Net Logistic Regression

Journal of Advanced Academics, Ahead of Print.
In this study, we applied elastic-net logistic regression to explore critical predictors of students’ mathematics and science levels using data from eighth-grade students in the 2019 Trends in International Mathematics and Science Study (TIMSS). The …

​Journal of Advanced Academics, Ahead of Print. <br/>In this study, we applied elastic-net logistic regression to explore critical predictors of students’ mathematics and science levels using data from eighth-grade students in the 2019 Trends in International Mathematics and Science Study (TIMSS). The … Read More

Related posts:

The Development of Self-Concept in Adolescents from High-Ability Programs Who I Am and What I Do Is in My Hands: A Qualitative Study on High-Achieving College Students’ Perceptions of Agency Experiences Exploring the Psychometric Properties of the Gifted Rating Scale-School Form in the Qatari Context Examining the use of ChatGPT in Argumentative Writing: A Mixed Methods Study Editorial Word: Access The Editorial Word: Binary Balancing the Binary—AI, Expertise, and the Future of Gifted Education