Multilevel modeling an innovative tool for analyzing clustered data: Application to education and its projection on environmental management

Abstract

The objective of this article is to show how multilevel modeling is a tool that is most appropriate to analyze clustred data in many field (education, business, environment, energy consumption etc.). Thus, we used this approach to analyze students' achievements in morocco using TIMSS database. The results show that several factors influence the academic performance of Moroccan students in mathematics such as student's gender, Student's SES and the principal's emphasis on students' success.