Analisis Regresi Multilevel dalam Menentukan Variabel Determinan Nilai Ujian Akhir Nasional Siswa
Abstract: Hierarchical data
are data where objects are clustered in their groups and for each of groups the
variable(s) are set at different levels. It is common to analyze hierarchical
data without examining individual’s data membership which affects the accuracy
of analysis’ results. Multilevel
regression analysis is a method that can be chosen to overcomes issues
regarding hierarchical data. This essay is aimed to apply multilevel regression
analysis to evaluate score of national examination data from elementary school
students at District of South Kuta, Bali.
These data were structured so that students are position as first level
and are nested within their classes as the second level. Furthermore, each of classes is nested within
its respective elementary school as third level data. The application of
three-level regression for these data set showed student’s score for national
final test was significantly affected by teacher educational level of
respective class.
Penulis: Ni Luh Putu Ayu
Fitriani, I Putu Eka N. Kencana, I Wayan Sumarjaya
Kode Jurnal: jpmatematikadd160260
