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All Journal JPMS (Jurnal Pendidikan Matematika dan Sains) JITEK (Jurnal Ilmiah Teknosains) Unisda Journal of Mathematics and Computer Science (UJMC) Jurnal Pendidikan Matematika Raflesia Imajiner: Jurnal Matematika dan Pendidikan Matematika Enthusiastic : International Journal of Applied Statistics and Data Science Journal of Medives: Journal of Mathematics Education IKIP Veteran Semarang JNPM (Jurnal Nasional Pendidikan Matematika) Pelita: Jurnal Pengabdian kepada Masyarakat Jurnal Kualita Pendidikan
Aurora Nur Aini
Universitas PGRI Semarang
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Journal : Unisda Journal of Mathematics and Computer Science (UJMC)

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PENERAPAN HIERARCHICAL LINEAR MODELING UNTUK MENGANALISIS DATA MULTILEVEL Dewi Wulandari; Ali Shodiqin; Aurora Nur Aini
Unisda Journal of Mathematics and Computer Science (UJMC) Vol 2 No 1 (2016): Unisda Journal of Mathematics and Computer Science
Publisher : Mathematics Department of Mathematics and Natural Sciences Unisda Lamongan

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (757.922 KB) | DOI: 10.52166/ujmc.v2i1.444

Abstract

Multilevel data are data that are nested within the other data which are in the higher level. As an example is students are nested in the classes. The student is the level-1 variable and the class is the level-2 variable. Multilevel data are not restricted only level-2 but also more than it. As an example we have taken, school is the level-3 variable, region is the level-4 variable etc. Students in one class will be different from another class, classes in one school will be dierent from another school, etc. Because of this variation then we need Hierarchical Linear Modeling (HLM) toanalyze it. This method is a complex form of OLS (Ordinary Least Square) regression. In estimating the parameters we use GLS (Generalized Least Square). In this research, we use mathematics score of Nasima junior high school student Semarang. From the analysis result which are got by using software HLM student version we can conclude that there's no signicant variation within groups or classes, then it's enough using OLS regression to analyze the factors affecting mathematics score. Hypothesis of the reason of this is the amount of unit in level-2 variables are not enough, they are only 4 units. To prove this hypothesis, we need another research.
Co-Authors Achmad Buchori Agung Handayanto Ali Shodiqin Ali Shodiqin Aszhar Annas Dhanieargo Aulia Putri Faradisa Cholidah Hanum Dewi Wulandari Farida Nursyahidah Guvita Sari Hendrisa Adrillian Heni Purwati Krishna Huda Bagus Pambudi Maya Rini Rubowo Muhammad Prayito Ni'mah Nur Faidah Ad Dien Nizaruddin Nizaruddin Rasiman Rasiman Rizky Esti Utami, Rizky Esti Yanuar Hery Murtianto