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An analysis on the predictors of adolescents’ life satisfaction based on quantile regression
Journal of the Korean Data & Information Science Society 2018;29:1215-25
Published online September 30, 2018
© 2018 Korean Data and Information Science Society.

Yun-Joo Chyung1 · Sangyeol Lee2

1Department of Early Childhood Education, Incheon National University
2Department of Statistics, Seoul National University
Correspondence to: Professor, Department of Early Childhood Education, Incheon National University, 12 Gaetbeol-ro, Yeonsu-gu, Incheon 21999, South Korea. E-mail:
This work was supported by Incheon National University Research Grant in 2016.
Received August 3, 2018; Revised September 3, 2018; Accepted September 4, 2018.
This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License ( which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
The purpose of this study were to examine the relationship between adolescents’ academic achievement and their life satisfaction using quantile regression and to examine whether there are differences between the results from quantile regression analysis and the results from linear regression analysis. The seventh-wave data of the elementaryone panel (N=2,002) from Korean Children and Youth Panel Survey were used in the analysis. It was found, from quantile regression analysis, that the coefficients obtained from quantile regression analysis vary with the quantile. It was also found that the subjective indicator of academic achievement (satisfaction with academic achievement) is a better predictor of adolescents’ life satisfaction than the objective indicator of academic achievement (school grade).
Keywords : Academic achievement, adolescents, life satisfaction, quantile regression.