• Design Convergence Study
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• v.15 no.6
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• pp.195-214
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• 2016

Predictive analysis is based on a probabilistic learning algorithm called pattern recognition or machine learning. Therefore, if users want to extract more information from the data, they are required high statistical knowledge. In addition, it is difficult to find out data pattern and characteristics of the data. This study conducted statistical data analyses and visual data analyses to supplement prediction analysis's weakness. Through this study, we could find some implications that haven't been found in the previous studies. First, we could find data pattern when adjust data selection according as splitting criteria for the decision tree method. Second, we could find what type of data included in the final prediction model. We found some implications that haven't been found in the previous studies from the results of statistical and visual analyses. In statistical analysis we found relation among the multivariable and deducted prediction model to predict high box office performance. In visualization analysis we proposed visual analysis method with various interactive functions. Finally through this study we verified final prediction model and suggested analysis method extract variety of information from the data.

• Proceedings of the Korean Institute Of Construction Engineering and Management
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• autumn
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• pp.64-71
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• 2002

This research developed construction cost forecasting model using Building Construction Cost Index, time series analysis and Artificial Neural Networks. By this model, we could calculate the forecasted values of construction cost precisely and efficiently. And we also could find out that the standard deviation of forecasted values is 0.375 and it is a very exact result, so the standard deviation is just 0.33 percent of 112.28, the average of Building Construction Cost Index. And it show more exact forecasting result in comparison with Time Series Analysis.

• The Journal of the Korea Contents Association
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• v.14 no.11
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• pp.722-731
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• 2014

The purpose of this study was to identify the relationship between multi-cultural family husbands' stress related to their wife and their psychological abuse based on the Stress theory of Lazarus et al. Data from 271 subjects that answered to all questions regarding the subjects' social demographic characteristics, and the husbands' stress related to their wife and their psychological abuse of their wife in statistical analyses. To analyze the data, a study model was set using multi-cultural family husbands' stress related to their wife as an independent variable and their psychological abuse of their wife as a dependent variable and the goodness-of-fit of the model for the data and the relationship between the variables were reviewed using a structural equation model. According to the results, the goodness-of-fit index of the model satisfied the statistical acceptable standard with CFI=0.909 and RMSEA=0.057. The relationship between the variables indicated that multi-cultural family husbands' stress related to their wife had significant effects on their psychological abuse of their wife. This result indicates the necessity of intervention for management of the husbands' stress in order to prevent multi-cultural family husbands' psychological abuse of their wife.

• The Journal of the Korea Contents Association
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• v.16 no.4
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• pp.250-261
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• 2016

This study was conducted to verify the mediation model of private self-consciousness on game addiction and aggression. Data from 439 boys were included in the analysis. The results are as follows. First, correlation analyses revealed that game addiction was positively correlated with aggression and private self-consciousness. Private self-consciousness was also positively correlated with aggression. Considering two factors of private self-consciousness, game addiction showed a significant positive correlation only with self-reflectiveness factor. Although two factors of private self-consciousness showed positive correlations with game addiction, regression analyses revealed that self-reflectiveness was the significant predictor of aggression. Second, the structural equation analyses showed that private self-consciousness, especially self-reflectiveness was found to partially mediate the influence of game addiction on aggression. Finally, limitations of this study and suggestions for further study were discussed.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.19 no.12
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• pp.507-514
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• 2018

This study utilized latent growth curve modeling to investigate the trajectories of adolescent life satisfaction changes in middle and high school students. The effects of self-esteem, career identity, school learning activity, gender, and household earnings on life satisfaction changes were examined. Data was obtained from the Korea Child Youth Panel Survey (KYCPS), a longitudinal study following students for 7 years. Year 3-6 data was utilized. Results found that the life satisfaction trajectory resulted as a quadratic model in which individual differences were significant. Second, school learning activity used as a time variant variable had a positive significant effect on life satisfaction each year. Third, gender and self-esteem as time invariant variables had significant effects on initial levels while self-esteem had effects on the slope and quadratic change. Further implications and research issues are discussed.

• 한국노년학
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• v.37 no.3
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• pp.617-635
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• 2017

The aim of this study was to investigate both poverty and depression among older adults, focusing on the relationship of these two trajectories. For expanding the understanding about elderly poverty and depression, the study measured the longitudinal patterns of various transition in these two variables. The data for the study is 1st to 9th waves (2006-2014) of Korea Welfare Panel Study (KoWePS), and 4,431 older adults were used for the final analysis. For data analysis, Semi-parametric group-based modeling and Dual trajectory model were selected. The main results of this study were followings; First, The trajectory groups were identified: non-poverty, decrease poverty, increase poverty, remain high-poverty, chronic poverty groups and 4 trajectories of depression: stable, remain low-depression, risk of depression, chronic depression groups. Second, the study was tried to anticipate the longitudinal transition of poverty and depression status, and investigate the concurrent relationship in these two variables. It turned out that the stable poverty status led the stable depression, and vice versa. Based on these result, this study for elderly welfare were discussed to reduce risk for poverty and depression.

• Journal of Digital Convergence
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• v.15 no.2
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• pp.335-345
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• 2017

It is necessary for an instructor to understand the student's team building behavior for an effective guidance of team activities. In this study, we developed an agent-based computational model for simulating the student's self-controlled behavior. We validated the model by comparing the actual behavior. Through the simulation, we found that the time to stabilization of team formation and the ratio of the students having no team are decreasing as the population of the student increases. However, we also found that over a certain amount of population, the time and the ratio do not show much progress in the difference. The simulation also shows that the more heterogeneity between the students the higher chance of delaying the team formation and increasing the ratio. We expect to use the model as a tool for guiding and supporting students' team activities.

• 한국노년학
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• v.41 no.3
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• pp.421-444
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• 2021

The purpose of this research is to examine the reciprocal relationships between depression and marital satisfaction among older couples. For longitudinal dyadic analysis, this study sets up a research model based on the Actor-Partner Interdependence Model, the Common Fate Model, and Autoregressive Cross-Lagged Model. Data came from four annual waves from the 10th year (2015) to the 13th year (2018) of the Korean Welfare Panel Survey and the final sample comprised a total of 1,383 married couples over 60 years of age in 2015. Structural Equation Modeling identified the reciprocal relationship between depression and marital satisfaction among older couples, with higher marital satisfaction of older couples leading to lower depression of husbands' and wives', and with higher depression of husbands' and wives' inducing lower marital satisfaction of the couples. Thus, this study suggested that longitudinal interplay between depression and marital satisfaction can lead to a vicious cycle. Based on these findings, the need to intervene at both the individual level and the couple level was discussed in order to reduce depression and improve marital satisfaction.

• Journal of Internet of Things and Convergence
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• v.6 no.4
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• pp.7-14
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• 2020

This study analyzed the effect of the number of deaths of circulatory system diseases according to 12-day short-term exposure of carbon monoxide from January 2010 to December 2018, and predicted the future treatment cost of circulatory system diseases according to increased carbon monoxide concentration. Data were extracted from Air Korea of Korea Environment Corporation and Korea Statistical Office, and analyzed using Poisson regression analysis and ARIMA intervention model. For statistical processing, SPSS Ver. 21.0 program was used. The results of the study are as follows. First, as a result of analyzing the relationship between the impact of short-term carbon monoxide exposure on death of circulatory system diseases from the day to the previous 11 days, it was found that the previous 11 days had the highest impact. Second, with the increase in carbon monoxide concentration, the future circulatory system disease treatment cost was estimated at 10,123 billion won in 2019, higher than the observed value of 9,443 billion won at the end of December 2018. In addition, when summarized by month, it can be seen that the cost of treatment for circulatory diseases increases from January to December, reflecting seasonal fluctuations. Through such research, the future for a healthy life for all citizens can be realized by distributing various devices and equipment utilizing IoT to preemptively respond to the increase in air pollutants such as carbon monoxide.

• Korean Journal of Social Welfare
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• v.59 no.2
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• pp.251-275
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• 2007

The purpose of this study was to investigate the relationship between child maltreatment, protective factors, and resilience in elementary school students. It was especially focused on what direct effect of the risk factor(child maltreatment) and protective factors to child resilience, and how protective factors affect the resilience of maltreated child. In the concrete, this study intended to find out whether protective factors mediate between child maltreatment and resilience. This study based on data from the first wave of 'Korean Youth Panel Survey(KYPS)' and subjects consisted of 2,844 4th grade elementary school students. In addition, to test the proposed models, the Mplus-structural equation modeling-was used. The major findings are as follows: First, when child maltreatment increased, resilience decreased. Second, when protective factors increased, resilience increased. Third, protective factors act as buffers against the negative effects of child maltreatment on resilience by mediation. Results indicated that child maltreatment related negatively to resilience and protective factors related positively to resilience. In addition, a mediational model in which protective factors mediates child maltreatment and resilience was supported. In conclusion, various theoretical and practical implications for social work practice focusing on the maltreated children were discussed.