• The Journal of Korean Association of Computer Education
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• v.16 no.2
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• pp.39-48
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• 2013

This study investigates the predictive model of the adolescents' computer entertainment behavior using neural network with the KYPS data (3449 in the junior high school; 1725 boys and 1724 girls). This study compares the results of neural network(model 1) to the logistic regression model and neural network(model 2) with the exact same variables used in logistic regression. The results reveal that the prediction of neural network model 1 is the highest among three models and with gender, computer use time, family income, the number of close friends, the number of misdeed friends, individual study time, self-control, private education time, leisure time, self-belief, stress, adaptation to school, and study related worries, the neural network model 1 predicts the computer entertainment behavior more efficiently. These results suggest that the neural network could be used for diagnosing and adjusting the adolescents' computer entertainment behavior.

• The Journal of the Korea Contents Association
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• v.17 no.1
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• pp.522-531
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• 2017

The purpose of this study was to explore the relationship between partner violence and depression in the elderly. This secondary analysis study used the data from 2015 Korean Welfare Panel Study. A total of 2,819 older adults who completed the survey about demographic characteristics, health-related characteristics, satisfaction in the relationship with children, satisfaction in social relationship, partner violence, and depression. Data were analyzed with SPSS 23.0 by using descriptive analyses, independent t-tests, $x^2$-tests, bivariate logistic regressions, and hierarchical logistic regressions. In the results of hierarchical logistic regressions, after controlled demographic and health related characteristics, satisfaction in the relationship with children, and satisfaction in social relationship, partner violence was significantly associated with depression in both male and female older people. In conclusion, it is important to make a prevention program to reduce partner violence and depression for not only female but also male older adults.

• Journal of Digital Convergence
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• v.15 no.4
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• pp.327-337
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• 2017

The purpose of this study is to identify the current state of paid care services and to identify the factors that affect the utilization of private nursing services. This study constructed and utilized the Korean Health Panel data (2011-2014) in the form of panel data, and selected 5,110 patients who had experience using one or more hospitalization services per year. STATA 12.0 SE was used for data processing and analysis of this study. Frequency analysis was performed to confirm basic characteristics of hospitalized patients. Cross-analysis and t-test were conducted to confirm the status of paid care services according to characteristics. Respectively. Finally, panel logistic regression was performed by applying a hierarchical method to stepwise modeling the three categories of Andersen's Behavioral Model to identify factors affecting the use of paid care services for inpatients. The results showed that the use of paid nursing services was higher in women, elderly, long - term hospitalized and disabled. On the other hand, significant household income variables in private employment did not show significant results. The results of this study are expected to be used as basic data for the selection of the nursing care integrated services under discussion. In addition, detailed discussions on the selection of subjects should be made in the future.

• Journal of the Korean Data and Information Science Society
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• v.25 no.6
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• pp.1253-1262
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• 2014

Regression tree is a tree-structured solution in which a simple regression model is fitted to the data in each node made by recursive partitioning of predictor space. There have been many efforts to apply tree algorithms to various regression problems like logistic regression and quantile regression. Recently, algorithms have been expanded to the panel data analysis such as RE-EM algorithm by Sela and Simonoff (2012), and extension of GUIDE by Loh and Zheng (2013). The algorithms are briefly introduced and prediction accuracy of three methods are compared in this paper. In general, RE-EM shows good prediction accuracy with least MSE's in the simulation study. A RE-EM tree fitted to business survey index (BSI) panel data shows that sales BSI is the main factor which affects business entrepreneurs' economic sentiment. The economic sentiment BSI of non-manufacturing industries is higher than that of manufacturing ones among the relatively high sales group.

• Journal of the Korea Convergence Society
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• v.10 no.7
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• pp.391-397
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• 2019

In 2016, the number of suicides per 100,000 population in Korea was 24.6, which is the highest record of OECD countries. The number of suicide deaths increased with age. Elderly people have a higher risk of completed suicide than any other age group. The purpose of this study was to analyze the panel data of the Korean Welfare Panel Study to identify the factors affecting the suicide of Korean older people. This study analyzed the data of the 11th Korean Welfare Panel Study, which was constructed in 2016. The mean age of the participants was 75.55 years and 37% were man and 63% were women. The annual prevalence of suicidal ideation was 3.4%. The effects of depression(Exp(B)=1.113) and subjective health status((Exp(B)=.767) on suicidal ideation was statistically significant by stepwise logistic regression analysis(Nagelkerke $R^2=.248$). Therefore, for the effective application of suicide prevention program for the older people, assessment of subjective health status and depression screening should be preceded.

• 한국노년학
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• v.32 no.2
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• pp.577-592
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• 2012

The purpose of this study is to examine which factors determine fall experience among Korean elderly. To achieve this purpose, it uses the Korean Longitudinal Study of Aging(KLoSA), wave 1 and 2. Participants aged 65 from wave 1 were selected. From wave 2, a dependent variable was selected and it was fall experiences since the first interview in 2006. Other than this variable, all independent variables were selected from wave 1. In analyses, x2 or t-test were conducted to examine whether independent variables significantly differ between falls and no falls. Then, since a dependent variable consisted of two categories-falls or no falls, multiple logistic regressions were run. Female, using hearing aid, having two diseases, having three or more diseases, depression, and exercise 5 times/a week or more elevated the odds ratios of fall experience. compared to their reference categories. Particularly, if Korean elderly had three or more diseases or depression, their likelihood of fall experience would have about 2 times higher than their reference categories. In conclusion, health practitioners should make the elderly be recognized how much these risk factors are important to falls. Also, Korean government should support Korean elderly having these risk factors to prevent them from falling.

• The Journal of the Korea Contents Association
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• v.22 no.4
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• pp.433-444
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• 2022

This study aimed to identify the change trajectories and clusters of Korean women's family values and depression levels, and the factors affecting depression, to use balanced panel data from the 1st to 7th rounds of the Korea Longitudinal Survey of Women and Families(KLSWF). The subjects of this study were 5,048 female panelists who participated in the KLSWF, and LSTM analysis was conducted using Python to divide the clusters of Korean women suffering from depression. In addition, descriptive statistical analysis, ANOVA, multinomial logistic regression analysis, and hierarchical regression analysis were analyzed using SPSS 23.0. Results, It was confirmed that women's depression increased with age, and family values had a significant impact on depression. It was found that the more open the marriage values of women in the married group, the higher the level of depression. The family values trajectory and depression level of the analyzed subjects were not a single pattern, but included four clusters. To prevent depression among Korean women and provide more concrete interventions, a humanities and sociological system that can identify depression groups should be prepared.

• 한국노년학
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• v.36 no.4
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• pp.1125-1139
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• 2016

The current study examines whether retirement changes health behaviors and how the effect differs by reasons for retirement. This study conducts fixed-effects logistic regression analyses, using data from the Korean Longitudinal Study of Aging (KLoSA) over the period 2006 through 2014. Results indicates that retirees are more likely to participate in regular exercise compared to their employed counterparts. Retirement is positively associated with participation in regular exercise regardless of reasons for retirement. The odds of being engaged in smoking among retirees are 50% less relative to those for employees. However, analyses by reasons for retirement reveal that only participants who retired for health problems or reaching retirement age are less likely to smoke cigarettes compared to employed participants. Retirees show significantly lower odds in drinking compared to employees. Yet, further analyses present that only individuals who retired due to health problems are less likely to drink alcohol. Overall, these results suggest that retirement may provide opportunities for positive changes in health behaviors. The present study imply that individuals who retired due to health problems benefits most from retirement in terms of health behaviors compared to retirees who retired for other reasons.

• Journal of the Korean Data and Information Science Society
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• v.28 no.1
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• pp.195-206
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• 2017

The purpose of this study was to identify factors affecting quality of health care. Methods: The data were derived from the 2011-2013 Korea health panel survey (beta version 1.0). The data were analyzed using SPSS 21.0 with descriptive statistics, ${\chi}^2$-test, and multiple logistic regression analysis. In general characteristics, common factors influencing the quality of health care were age, marital status, education level, and subjective health status. In variables related to health care utilization, unmet healthcare needs, and limitation of dental care utilization were the significant factors affecting quality of health care. The results of this study show that various factors influence quality of health care. These findings can be used to develop strategies to improve health care.

• Journal of Digital Convergence
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• v.18 no.5
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• pp.127-138
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• 2020

This study investigated the patterns of transition of consumption patterns in Korean households in 2010 and 2017, and the impact of the life cycle on the transition of consumption patterns between the two time points. Using information on 4,717 households from the 2010 and 2017 data of the Korean Labor Panel Survey, we examined the effect of the family life cycle on changes in consumption patterns. The results of the latent transition analysis on the change in consumption type showed that the change in consumption type between the two points of time at the household level was relatively active. The logistic regression models reported that the transition of consumption type varies depending on the life cycle, such as changes in marital status, birth and independence of children. These results provide the implication that it is necessary to consider from the perspective of the family life course how the transition between their consumption types occurs when the government establishes consumption policies and companies set marketing target groups.