Post-selection inference on PISA 2018 students’ autonomy in digital device usage: An empirical study based on a simulation
Jin Eun Yoo1 · Semin Choi2 · Minjeong Rho3
13Department of Education, Korea National University of Education
2Division of Advanced Engineering, Korea National Open University
2Division of Advanced Engineering, Korea National Open University
Correspondence to: 1 Professor, Department of Education, Korea National University of Education, Cheongju 28173, Korea.
2 Assistant professor, Division of Advanced Engineering, Korea National Open University, Seoul 03087, Korea. E-mail: semin90@gmail.com
3 Instructor, Department of Education, Korea National University of Education, Cheongju 28173, Korea.
2 Assistant professor, Division of Advanced Engineering, Korea National Open University, Seoul 03087, Korea. E-mail: semin90@gmail.com
3 Instructor, Department of Education, Korea National University of Education, Cheongju 28173, Korea.
Received July 22, 2024; Revised August 23, 2024; Accepted August 29, 2024.
This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
- Abstract
- The primary goal of this study is to identify predictors of PISA 2018 Korean students’ autonomy in digital device usage. Specifically, predictors were selected using LASSO (Least absolute shrinkage and selection operator) and CV (cross-validation), followed by statistical inference on the selected predictors via the post-selection inference (PSI) techniques. The results from a simulation study, which reflects the characteristics of social science large-scale data, were also applied to the analysis of PISA 2018 data. The findings indicate that enhancing students’ autonomy in digital device usage requires not only cultivating positive attitudes towards device usage but also improving literacy and overall autonomy. This study provides evidence for analyzing social science large-scale data from linear mixed models using PSI, and extends the applicability of PSI in the field of social sciences.
- Keywords : Autonomy in digital device usage, digital literacy, LASSO, PISA 2018, post-selection inference
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