An analysis of Korean middle-aged women’s depression with linear mixed models†
Mirae Lee1 · Jib Huh2
12Department of Statistics, Duksung Women’s University
Correspondence to: Professor, Department of Statistics, DuksungWomen’s University, Seoul 01369, Korea. E-mail: jhuh@duksung.ac.kr
†This research was supported by Basic Science Research Program through the National Research Foundation of Korea(NRF) funded by the Ministry of Education. (NRF-2016R1D1A1B03931595).
†This research was supported by Basic Science Research Program through the National Research Foundation of Korea(NRF) funded by the Ministry of Education. (NRF-2016R1D1A1B03931595).
Received September 13, 2018; Revised October 11, 2018; Accepted October 12, 2018.
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
- We analyse Korea Welfare Panel Data to find the significant variables which affect the depression of middle-aged women between 40 and 60 years old. The data of women surveyed from 2012 to 2016 are used for this research. We choose several exploratory variables from the previous related works and make the response variable by the total score of related survey items. We choose a proper correlation coefficient matrix for the dependence of the middle-aged women’s depression data measured repeatedly every year and select a suitable linear mixed model with the fixed effects of exploratory variables and the random effects of the individuals for the data set.
- Keywords : Akaike information criterion, correlation coefficient matrix, Korean welfare panel data, linear mixed model.
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