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An analysis of depression of the individuals with disabilities using repeated measurement data
Journal of the Korean Data & Information Science Society 2017;28:1055-67
Published online September 30, 2017
© 2017 Korean Data & Information Science Society.

Haesun Hong1 · Jib Huh2

12Department of Statistics, Duksung Women’s University
Correspondence to: Jib Huh
Professor, Department of Statistics, Duksung Women’s University, Seoul 01369, Korea
Received August 1, 2017; Revised August 25, 2017; Accepted September 5, 2017.
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.
Most previous works to study for the depression of the disabilities in Korea have analyzed the repeated measured data of each individual under the mutually independent assumption. In this study, Korea Welfare Panel data of the disabilities surveyed additionally every three years are analyzed to detect the significant exploratory variables by the linear mixed models. A suitable correlation matrix is considered for the dependency of repeated measurement of each individual. The random effect to reflect the characteristics of the individuals as well as the fixed effect is included in the fitted linear mixed model. By the residual plot of the fixed effect model, the problem that the averages of residuals of each individual do not seem to be around zero is described. Further, the residual plot and the Q-Q plot coming from the selected final model are shown that the problem is modified well.
Keywords : Correlation matrix, information criterion, Korean Welfare Panel Data, linear mixed model, random effect