• Proceedings of the KWS Conference
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• 2002.10a
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• pp.657-660
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• 2002

In this paper, a study on the residual stress of plate with longitudinal stiffeners is explained in terms of the welding sequences. In order to verify the results of numerical analysis, the hole drilling method (HDM) is performed, to measuring the residual stresses of the test plates in $CO_2$ Flux Cored Arc Welding (FCAW) under various welding conditions. The non-linear transient analysis technique for the numerical analysis in a large and complicate structure is considered. The residual stress of plate in consideration of the welding sequences and directions is evaluated by some numerical simulations and also by experiments. Comparison of numerical analysis results with experimental data shows the accuracy and validity of the proposed method.

• International Journal of Korean Welding Society
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• v.4 no.1
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• pp.10-14
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• 2004

In this paper, a study on the residual stress of plate with longitudinal stiffeners is explained in terms of the welding sequences. In order to verify the results of numerical analysis, the hole drilling method (HDM) is performed, to measuring the residual stresses of the test plates in $CO_2$ Flux Cored Arc Welding (FCAW) under various welding conditions. The non-linear transient analysis technique for the numerical analysis in a large and complicate structure is considered. The residual stress of plate in consideration of the welding sequences and directions is evaluated by some numerical simulations and also by experiments. Comparison of numerical analysis results with experimental data shows the accuracy and validity of the proposed method.

• Research in Community and Public Health Nursing
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• v.33 no.1
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• pp.74-83
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• 2022

Purpose: The purpose of this study was to identify latent classes of health-related quality of life trajectories in middle-aged women and investigate predictors for latent classes. Methods: This study utilized data from the 2^nd, the 4^th to the 7^th Korean Longitudinal Survey of Women & Families. The subjects included 1,351 women aged 40~45 years. The data was analyzed using latent class growth analysis and logistic regression. Results: Two trajectories were identified for health-related quality of life in middle-aged women; 'persistently good' and 'increasing' groups. Predictors for the 'increasing' group were lower economic status, higher depression, and lower perceived health status. Conclusion: This study showed that characteristics of the individual, symptom status, and health perceptions were associated with health-related quality of life in middle-aged women. It is necessary to provide effective intervention for latent classes of health-related quality of life trajectories based on physical, mental, and social factors.

• Human Ecology Research
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• v.52 no.3
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• pp.301-312
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• 2014

The purpose of this study was to examine whether a temporal relationship would develop between the overuse/addictive use of mobile phones and depression in adolescents. For this study, we used the 4-year longitudinal data (2004-2007, Study 1, which measured the overuse of mobile phones and depression) and the 2-year longitudinal data (2010-2011, Study 2, which measured the addictive use of mobile phones and depression) of the Korea Youth Panel study. In addition, the study explored gender differences with respect to the above mentioned relationship. Autoregressive cross-lagged modeling was carried out, along with a multiple group analysis across genders. The findings showed that the overuse/addictive use of mobile phones and depression in adolescents had a significant effect on the future selves of these adolescents over time. Moreover, the overuse/addictive use of mobile phones had a significant influence on subsequent depression, rather than vice versa. This means that as the overuse/addictive use of mobile phones by adolescents increases, their depression intensifies later on; however, as depression among adolescents intensifies, the overuse/addictive use of mobile phones by adolescents' does not increase. Further, the study showed there were significant gender differences in the longitudinal relationship between the overuse/addictive use of mobile phones and depression. Study 1 shows that, prior to the release of smartphones, the overuse of mobile phones had a definite effect on the depression of only males. However, Study 2 shows that, after the release of smartphones, the effect of the addictive use of mobile phones on depression in females was greater than that in males.

• Communications for Statistical Applications and Methods
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• v.18 no.6
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• pp.751-759
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• 2011

The method of generalized estimating equations(GEE) is widely used in the analysis of a correlated dataset that consists of repeatedly observed responses within subjects. The GEE uses a quasi-likelihood equations to find the parameter estimates without assuming a specific distribution for the correlated responses. In this paper we study the importance of specifying the working correlation structure appropriately in fitting GEE for correlated counts data. We investigate the empirical coverages of confidence intervals for the regression coefficients according to four kinds of working correlations where one structure should be specified by the users. The confidence intervals are computed based on the asymptotic normality and the sandwich variance estimator.

• Journal of the Korean Statistical Society
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• v.33 no.4
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• pp.367-379
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• 2004

This article deals with the nonparametric analysis of longitudinal data when there exist possible correlations among repeated measurements for a given subject. We consider a quasi-likelihood regression model where a transformation of the regression function through a link function is linear in time-varying coefficients. We investigate the local polynomial approach to estimate the time-varying coefficients, and derive the asymptotic distribution of the estimators in this quasi-likelihood context. A real data set is analyzed as an illustrative example.

• International Journal of Advanced Culture Technology
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• v.9 no.1
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• pp.114-120
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• 2021

This study aims to discover how self-esteem and social competence in early childhood affect school adjustment in elementary school. This study used the 7th year (2014) and 10th year (2017) of the panel study on Korean children, which are longitudinal research data from the Korea Institute of Child Care and Education (KICCE). Pearson's correlation analysis and hierarchical regression analysis were used as the main statistical analysis methods. The analysis was performed using the the Spss 21.0 program. As a result of this study, peer acceptance among early childhood's self-esteem, assertion, cooperation, and self-control among social competence have influences on adjustment to elementary school life. This study is meaningful in that it is a longitudinal study conducted with a time difference for 3 years with the same subjects in order to investigate the influence of the inner factors of early childhood on school adjustment in elementary school.

• Journal of Family Resource Management and Policy Review
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• v.18 no.4
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• pp.1-26
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• 2014

This study analyzes the effects of the three types of flexible work arrangements (part-time, flexitime, and reduced working hours for childcare) available in Korea on work-family conflict, facilitation, and job satisfaction for married working women ages 15-49. The study employs a panel analysis based on the first to the fourth data from the Korean Longitudinal Survey of Women & Families (KLoWF). The major results are as follows. First, the availability of part-time jobs and reduced working hours to facilitate childcare is significantly related to work-family conflict for married women. If a married woman is employed in a part-time position or if reduced working hours for childcare are available, the conflict within the family caused by the job is reduced. Second, none of the three types of flexible work arrangements have a statistically significant influence on work-family facilitation for married women. Third, the availability of reduced working hours for childcare has a positive effect on the job satisfaction of married women. In conclusion, flexible working hours for women who are raising children are the main factor in reducing the negative effect of a job on a woman's family life as they contribute to work and family compatibility.

• Journal of Digital Convergence
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• v.16 no.6
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• pp.85-93
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• 2018

The Latent Growth Modeling(LGM) is known as the arising analysis method of longitudinal data and it could be classified into unconditional model and conditional model. Unconditional model requires estimated value of intercept and slope to complete a model of fitness. However, the existing LGM is in absence of a structured methodology to estimate slope when longitudinal data is neither simple linear function nor the pre-defined function. This study used Sequential Pattern of Association Rule Mining to calculate slope of unconditional model. The applied dataset is 'the Youth Panel 2001-2006' from Korea Employment Information Service. The proposed methodology was able to identify increasing fitness of the model comparing to the existing simple linear function and visualizing process of slope estimation.

• Journal of the Korean Society for Library and Information Science
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• v.52 no.4
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• pp.179-194
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• 2018

The purpose of this study is to discuss the application of the Latent Growth Model to measure the outcomes of public library. For outcome measurements, library circulation data were collected to identify longitudinal changes of library users' reading habit. The latent growth model was applied to statistically test the changes over time. The circulation data of 95,962 users registered in some public libraries in Seoul, ranged between 2010 and 2015, were analyzed using unconditional model, conditional model, and growth mixture model which all are called the latent growth model. The results show that the intercept of the model is 4.19 and the slop is 0.24 in the linear growth model. The gender difference in two latent variables including intercept and slop was a shade difference. The result from the growth mixture model analysis, additionally indicates that the number of books checked out by children under age 10 is rapidly increased. The application of the latent growth model in library fields is expected to widely spread out for the longitudinal data analysis.