Pendekatan Pemodelan Multitahap ke Atas Data Hierarki Pencapaian Pelajar

This paper discusses the multilevel approach in constructing a model for estimating hierarchically structured data of students performance. Multilevel models that take into account variation from the clustering of data in different levels are compared to regression models using least squares method. This study also estimates the contributions of gender and ethnic factors on students performance. Performance data of866 students in a sciencefaculty in an institution of higher learning is obtained and analyzed. This data is hierarchically structured with two levels, namely students and departments.Analysis findings show different parameter estimates for both models. Also, the multilevel model which incorporates variability from different levels and predictors from higher levels is found to provide a better fit for model explaining students performance.