• Korean Journal of Social Welfare Studies
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• v.48 no.2
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• pp.303-329
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• 2017

This study aimed to explore the trajectories of computer game use of school age children and to identify the related predictors. The data for this study used Korean Children and Youth Panel data covering from the second year to the sixth year of elementary school. A total of 1,959 participants were analyzed. Latent class growth model was employed to explore the trajectories of computer game use and multinomial logistic regression was conducted to identify the significant predictors. Main results indicated that three types of trajectories were identified: low game using group, high initial using-fluctuating group, and high increasing game using group. Each group was found to be associated deferentially with sex, aggression, attention deficit, main caregiver's education, siblings, parent absence after-school, neglecting, family income, family trip, school grades, and peer relationship. Based on these findings, this study emphasized the importance of predictive intervention for the game user among early school age children and suggested useful practical strategies.

• The Journal of the Convergence on Culture Technology
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• v.5 no.1
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• pp.193-203
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• 2019

The study participants are nurses who work at three general hospitals in M City, who used structured questionnaires to list 214 people from July 17 to August 7, 2017. Analysis of the collected data was carried out using SPSS WIN 21.0. and M plus 7.00 to analyze latent classes depending on the type of nursing managers' leadership. This study showed that the type of nursing managers' leadership has in analyzing latent classes influences nurses' job performance and turnover intention. Because there is a strong influence on the job performance and the turnover intention so that nurses can be highly aware of transformation-transaction-emotion leadership, the managers of the nursing organization need to foster effective leadership. Training programs are needed to improve nurses' job performance through transformational, transactional, and emotional leadership, and to foster nursing manager's leadership skills to better reflect the turnover intention.

• Journal of the Korean Society for Library and Information Science
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• v.57 no.1
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• pp.45-68
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• 2023

The purpose of this study is to longitudinally analyze impact factors on library use. One of library use indicators, the number of circulated books was statistically analyzed with latent growth model and growth mixture model. Library data from 2014 to 2019 were collected from the National Library Statistics System, and 846 public libraries were analyzed. As results, the number of circulated books were decreased, but it was tempered. Next, with controlling the factor affecting the dependent variable, the size of collection and the number of participants in reading programs provided by public libraries were statistically significant. Lastly, 5 classes were identified by applying the growth mixture model, and the number of librarians was significantly associated with trajectory class membership.

• Journal of Agricultural Extension & Community Development
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• v.29 no.2
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• pp.111-129
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• 2022

This study aims to classify agricultural entrepreneurship preparation patterns for middle-aged adults and to explore their demographic characteristics, occupational characteristics, and agricultural entrepreneurship related variables. The result of the study follows: first, agricultural entrepreneurship preparation patterns were divided into three types of urban-born farming, rural-born farming, retirement farming. Second, these patterns showed significant differences according to the level of demographic and occupational characteristics. Third, these patterns also showed considerable differences depending on the level of agricultural entrepreneurship expectancies, agricultural entrepreneurship volition, and agricultural entrepreneurship barriers. Based on the results, diversified agricultural entrepreneurship education programs and support measures were suggested.

• Journal of Korean Academy of Nursing
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• v.49 no.6
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• pp.701-712
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• 2019

Purpose: Despite the high drinking rates and the complexity of drinking behaviors in adolescents, insufficient attention has been paid to their drinking patterns. Therefore, we aimed to identify patterns of adolescent drinking behaviors and factors predicting the distinct subgroups of adolescent drinking behaviors. Methods: We analyzed nationally representative secondary data obtained in 2017. Our final sample included 24,417 Korean adolescents who had consumed at least one glass of alcohol in their lifetime. To investigate patterns of drinking behaviors, we conducted a latent class analysis using nine alcohol-related characteristics, including alcohol consumption levels, solitary drinking, timing of drinking initiation, and negative consequences of drinking. Furthermore, we investigated differences in demographics, mental health status, and characteristics of substance use across the latent classes identified in our study. To do so, we used the PROC LCA with COVARIATES statement in the SAS software. Results: We identified three latent classes of drinking behaviors: current non-drinkers (CND), binge drinkers (BD), and problem drinkers (PD). Compared to the CND class, both BD and PD classes were strongly associated with higher academic year, lower academic performance, higher levels of stress, suicidal ideation, lifetime conventional or electronic cigarette use, and lifetime use of other drugs. Conclusion: Health professionals should develop and implement intervention strategies targeting individual subgroups of drinking behaviors to obtain better outcomes. In particular, health professionals should consider different characteristics across subgroups of adolescent drinking behaviors when developing the interventions, such as poor mental health status and other substance use among binge and problem drinkers.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.1
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• pp.468-476
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• 2020

This study investigated how latent groups depend on the longitudinal trajectories observed in fathers' involvement in parenting over a five year period, and the study also determined differences in children's behavioral problems and mother's parenting stress, marital satisfaction, and depression among these groups. By utilizing 1,316 sets of data from 1st to 5th Panel Survey of PSKC beginning in 2008, we examined the patterns of the latent groups and the differences among them. The results showed that, first, a changing pattern of fathers' involvement in parenting is classified into four groups: a low-stable group, a decreasing group. a middle-high changeable group, and a highest changeable group. According to the results of the latent groups, the fathers' involvement in parenting commonly started to decrease at the children's age of 4 years old. Second, problematic behaviors of children appeared more from the fathers in the decreasing group. Third, parenting stress, marital conflict, and depression were more often found in the low-stable group that in the decreasing group. the middle-high changeable group and the highest changeable group (in that order), while marital satisfaction showed a completely opposite pattern. Based on these results, political intervention and the future direction of research for fathers' involvement in parenting are needed in order to increase better behaviors of their children as well as the psychological well-being of their mothers.

• The Journal of the Korea Contents Association
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• v.16 no.10
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• pp.503-513
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• 2016

Innovator and Early Adopter are main clients of smart phone until now, but the silver generation enjoying price stability and the Internet emerges, so a strategy of the importance, systematic classification, and focus of a neglected class is needed. It is necessary to analyze UI that can departmentalize not a neglected class limited to the silver generation but potential users who can be voluntarily users and can secure them. To secure them, the researcher analyzes how Windows, Icons, Mouse Pull-Down-Menus(WIMP) of UI has been applied in the process that skeuomorphism UI of iPhone, Metro UI of MS, and Material UI of Google change. As a result of an analysis, skeuomorphism is not entirely new and has secured potential users slowly with a method to compensate and improve a part that users disregard. As a concept of touch UI, Metro UI considered potential users from the beginning but did not secure them with new and epoch-making UI. However, Material UI of Google compensates the weaknesses of skeuomorphism UI and Metro UI and emphasizes cost-effectiveness, so has developed into UI that can secure final consumers of potential users. Therefore, to secure potential users, it should make users themselves understand why they should use smart phone, and it should approach with more organized studies on UI through feedback of observation and direct talks.

• Environmental and Resource Economics Review
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• v.21 no.4
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• pp.921-945
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• 2012

Conditional Logit (CL) model is widely used since its model estimation and interpretation of results of the model is relatively easy, on the other hand, it has the limit of preference heterogeneity of respondents being not fully considered. In this study we used the two models, Mixed Logit (ML) Model and Latent Class Model (LCM) to explain preference heterogeneity of respondents for protection for Boryeong Dam wetland. As a result of the examination for heterogeneity in Boryeong city and six metropolitan areas, we found there was significant difference between two regions. While there was explicit preference heterogeneity within respondents in Boryeong city, we found little heterogeneity within respondents in six metropolitan areas. Thus in the case of six metropolitan areas, CL model can be used for parameter estimation while in the case of Boryeong city, WTP estimates are based on parameter estimates from ML model to reflect the heterogeneity within respondents. Additionally, ML model with interaction and 2-class LCM for respondents in Boryeong city were used to explain the sources of the heterogeneity. The ML model with interaction has advantage of explaining individual unobserved heterogeneity. However The comarison between these two models reflects the fact that LCM provided added information that was not conveyed in the ML model with interaction. Thus, Preference heterogeneity within respondents in this study may be better explained by class level through LCM rather than indiviual level through ML model.

• The Journal of the Korea Contents Association
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• v.20 no.11
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• pp.603-614
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• 2020

The purpose of this study was to classify latent profiles based on SNS addictive tendencies of married women and to examine the effects of age, adult attachment, extrinsic motivation of the fear of missing out and marriage satisfaction. A total of 300 married women who have been using SNS participated in this study. The result indicated that there were three latent profiles for SNS addictive tendencies of married women : (1) high-risk group (2) potential-risk group (3) low-risk group. The high-risk group had high scores in all sub-areas (obsession and withdrawal symptoms, over-communication and immersion, over-consumption). The high-risk group accounted for 24.51% of the total and the potential-risk group was 44.33%, which had the highest proportion of them. While attachment anxiety, attachment avoidance, extrinsic motivation of the fear of missing out, and marriage satisfaction were significant determinants of latent profiles, age was not. This study divided groups according to the characteristics of married women's SNS addiction tendencies and provided implications for counseling and education according to group characteristics, and discussed the need for various research through the development of standardized SNS addiction scale for married women.

• Journal of Digital Convergence
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• v.19 no.12
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• pp.243-253
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• 2021

In this study, AHP analysis was conducted on potential residents who are willing or likely to live in a smart city. The purpose is to identify priorities for strategic objectives. In order to establish a hierarchical structure for the vision, core values, and strategic goals of the smart city business, we researched domestic and overseas smart city-related academic papers and research reports, business plans, and institutional websites. After reviewing professors, researchers, experts, and focus groups, 4 2nd tier and 12 3rd tier properties were finally selected and the hierarchical structure was confirmed. As a result of AHP analysis, it was found that residents place the highest importance on quality of life in smart city projects. As a result of the analysis of the lower-level factors, it was found that safety was the most important. The priorities were analyzed in the order of living convenience, eco-friendliness, and social inequality resolution. It is expected that the results of this analysis will be able to suggest strategies to be established when promoting smart city projects in the future.