Applied of Multivariate Multilevel Modeling for Student Cognitive Achievement Analysis in AKSI 2019 Survey

Authors

  • Hadi Rachmat Department Statistics, IPB University, 16680 Bogor, Indonesia
  • Dr Budi Susetyo Department Statistics, IPB University, 16680 Bogor, Indonesia
  • Dr Indahwati Department Statistics, IPB University, 16680 Bogor, Indonesia
  • Dr Rahmawati Department Statistics, IPB University, 16680 Bogor, Indonesia

Keywords:

Hierarchical data, MVMM, AKSI, ICT literacy

Abstract

The Indonesian Student Competency Assessment (AKSI) is a national survey conducted by the Ministry of Education and Culture of the Republic of Indonesia which aims to monitor the quality of education. This survey measured students' cognitive abilities which included science, mathematics and reading literacy. Apart from that, this survey also collected a questionnaire of students to measure students' non cognitive abilities in ICT literacy. The sampling technique in the AKSI survey was conducted by multi-stage random sampling in which the first stage was randomly selected schools, then selected students sample in the selected schools. This article aims to identify the factors associated with students' ICT literacy on students cognitive achievement in the fields of science, mathematics and reading. AKSI has a hierarchical data structure with students are nested within school. In general, hierarchical data cause a violation of the assumption of independency of the residual between individual observations (students) and the homogeneity of variance between groups (school). The better statistical method for hierarchical data is multilevel modeling or hierarchical linear models. There are three correlated response variables in this study, so multivariate multilevel modeling is used. The results of this study conclude that the factors that affect the students cognitive achievement sorted according to their size are gender, perception index on the benefits of using ICT, accreditation, school ICT restriction index, father’s education, ICT usage index for other school activities, ICT usage index for school activities, digital device availability index and school digital device usage index. Apart from that, the results of the analysis concluded that there was an interaction effect between father's education and accreditation, meaning that the effect of parental education on students' cognitive achievement also depends on the school quality.

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Published

2021-01-15

How to Cite

Rachmat, H. ., Susetyo, D. B. ., Indahwati, D. ., & Rahmawati, D. . (2021). Applied of Multivariate Multilevel Modeling for Student Cognitive Achievement Analysis in AKSI 2019 Survey. International Journal of Sciences: Basic and Applied Research (IJSBAR), 55(1), 190–200. Retrieved from https://www.gssrr.org/index.php/JournalOfBasicAndApplied/article/view/12158

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