Multilevel Analysis Approach for Determining 8th Grade Mathematics Achievement in Kuwait

Abstract

The purpose of this study was to determine the magnitude of the effects of student level variables and school level variables in predicting the 8th Grade students’ achievement in Mathematics in the State of Kuwait by using Hierarchal Linear model (HLM) strategy. A stratified cluster sample of 37 intermediate schools together with their principals and mathematics teachers were involved in this study Also. A sample of 865 eight graders from these selected schools and their parents participated in this study. The assessment battery of mathematics test, and questionnaires for students, parents, teachers, and principals were used for data collection. The findings of this study revealed that the variation within schools was higher than the variation between schools, which means that the student level variables such as prior achievement and academic self-concept in predicting mathematics achievement were more important than school-level variables.