• (The)Korea Educational Review
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• v.23 no.2
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• pp.5-30
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• 2017

In this study, we analyzed the longitudinal effect of participation in an overseas exchange student program on foreign language competence, intercultural competence, and personal development. Data were collected over three time points from the pre-, post-, and post-post tests with Korean college students who participated in an overseas exchange program. Hierarchical linear model was conducted to examine whether the change of participation effects exists over time and which predictors affected outcomes. The results of unconditional growth model showed that foreign language competence, cultural competence, and personal development showed statistically significant differences in their initial status prior to departure to participate in an overseas program as well as their growth rate. The results of conditional growth model showed that parents' level of education and overseas experiences before college affected the initial status of foreign language competence, and gender and overseas experience before college affected those of cultural competence as well as personal development. In case of growth rate, overseas experience before college and destination country/region affected foreign language competence, and interactions between Korean participating students and local students affected cultural competence. For personal development, only overseas experiences before college affected its growth rate. Lastly, relevant discussion and implications were provided.

• Journal of Digital Convergence
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• v.18 no.11
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• pp.1-11
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• 2020

Economic factors are important in improving life satisfaction of disabled people. In addition, the impact of job satisfaction on life satisfaction has been verified. However, according to Herzberg's motivation-hygiene theory, hygiene factors such as wages only lowers dissatisfaction and does not directly affect job satisfaction. This study raises questions about Herzberg's theory and seeks to confirm through empirical analysis. Based on data from the 2017 Employment Panel Survey for the Disabled, this study seeks to answer analyzes whether hygiene factors proposed by Herzberg affect the job satisfaction of disabled people or not. Furthermore, this study proposes what regional policies are needed to enhance job satisfaction for the disabled. An analysis of structural equation model showed that hygiene factors such as working environment, interpersonal relationship and personal life directly affect the disabled worker's job satisfaction. In addition, through hierarchical linear model analysis, it was confirmed that local governments ought to provide education supports to the disabled workers in order to improve their job satisfactions.

• Journal of the Society of Disaster Information
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• v.17 no.3
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• pp.512-520
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• 2021

Purpose: The purpose is to analyze a relationship between urban characteristics and individual characteristics on the health level of individuals. Method: This study analyzed the relationship between urban characteristics and individual characteristics on individual health level in 2016 for local governments in Korea using a hierarchical linear model. Results: It was found that urban characteristics, along with individual characteristics, have a significant effect on the health level of individuals. Although the degree of influence is very large, some variables are not statistically significant, so more detailed research is needed for future urban policy. Conclusion: Although urban characteristics affect an individual's health level, additional research is needed on the variables of individual urban policies.

• Journal of the Korean Regional Science Association
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• v.35 no.1
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• pp.59-72
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• 2019

This study focused on low fertility and population decline which threaten national competitiveness. Therefore, a comprehensive analysis was attempted on the impact of housing characteristics and residential area characteristics of newlyweds on their birth plan. To this end, the hierarchical linear model(HLM) was implemented using '2016 Korea Newlyweds' Housing Survey' data. The main findings of this study are as follows. First, the birth plan of newlyweds is affected not only by housing characteristics, but also residential area characteristics such as the average housing price, average private education expenses and the number of local child centers. Second, the use of housing loans and the housing tenure have an interaction effect with the average housing price and the number of local child centers among the residential area characteristics. In other words, the use of housing loans has a negative effect on the birth plan if the housing price is high in the area, and being renter household has a positive effect on the birth plan if the number of local child centers is high in the area. These findings suggest that governmental effort to raise the birthrate of newlyweds should take into account their housing characteristics as wells as residential area characteristics.

• Journal of Industrial Convergence
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• v.22 no.1
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• pp.1-20
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• 2024

Regarding the discourse on the correlation between governmental financial support and firm performance, much emphasis has been placed on the role of individual corporate characteristics as well as spatial features. However, there is a notable scarcity of empirical research examining the integrated impact of corporate and cluster characteristics on managerial performance. This study addresses this gap by empirically analyzing the financial and non-financial outcomes resulting from specific allocations of governmental financial support. Additionally, it explores corporate and cluster characteristics predicted to moderate the influence between governmental financial support and firm performance. The analysis employs a two-level hierarchical linear model (HLM) at individual and group levels. The data, reorganized based on business registration numbers at the firm and cluster levels, ultimately utilized panel data from 83,395 firms and 641 clusters. The research findings indicate that governmental financial support demonstrates a positive effect (+) on both sales and patents for firms, suggesting its effectiveness in complementing market failures. Results from the hierarchical linear model analysis show that when combined with human capital capacity, absorptive capacity, and cluster network density, governmental financial support exhibits significant positive effects on sales. This study contributes theoretical and practical insights by analyzing the relationship between governmental financial support and firm performance using a two-level hierarchical linear model. It highlights the role of corporate characteristics such as human capital and absorptive capacity, along with cluster characteristics like cluster network density, in moderating the effects of governmental financial support on firm performance.

• Korean System Dynamics Review
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• v.8 no.2
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• pp.253-273
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• 2007

To measure the effect of school zone on housing cost, Linear Regression Model is widely used, and school zone is known as a key determinant of housing cost in Korea. However, when the Hierarchical Linear Model (HLM) is applied with the same data, school effect on housing cost becomes statistically non-significant. It is because HLM effectively separates the effect of individual housing's attributes from the group effect. In sum, the housing cost of Kangnam, where good public schools are located, is apparently is higher than that of Kangbuk. However, the school effect on housing cost (Level 2) becomes non-significant when individual housing's attributes (Level 1) are controlled with HLM.

• Journal of the Society of Disaster Information
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• v.14 no.2
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• pp.182-193
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• 2018

Purpose: The purpose of the study is to analyze the relationship between travel behavior and urban spatial characteristics in a hierarchical manner. Method: This study analyzed the relationship between traffic patterns and urban spatial characteristics for 83 cities in Korea by using a hierarchical linear model. Results: It was found that the urban spatial characteristics influenced the choice of transportation mode and travel time with personal attributes. However, the degree of influence on the choice of the means and the time required is relatively low through the policy of changing the city attribute, so the policy effect of mobilizing the land use policy for the traffic is theoretically, but the scale is not bigger than expected. Conclusion: In high density or the bigger scale of the city, the mass transportation system is widely supplied and used, but it does not overcome the drawback that it takes more time than the autos.

• Journal of The Korean Association For Science Education
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• v.38 no.2
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• pp.113-122
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• 2018

The purpose of this study is to investigate the effects of the educational context variables on students' science achievement and interest in TIMSS 2015. TIMSS 2015 science data and questionnaire results were used to fit the Hierarchical Linear Model (HLM) in this study. According to the results, books at home, parents' level of education, and students' views on science lessons have significant influence on science achievement of above-high level 4th-grade students, and books at home on below-intermediate level 4th-grade students. Books at home, students' views on science lessons, and school composition by student economic background have significant influence on science achievement of above-high level 8th-grade students, and books at home and students' views on science lessons on science achievement of below-Intermediate level 8th-grade students. In all grade levels, books at home, and students' views on science lessons have significant influence on science achievement and interest. Discussed in the conclusion are ways to improve science teaching and learning including offering systematic reading programs for all students, reinforcement of student-participation in science classes, connecting science hands-on activities with science concepts for below-Intermediate level elementary students, and so on.

• Journal of vocational education research
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• v.36 no.2
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• pp.23-50
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• 2017

The purpose of this study was to determine the hierarchical linear relationship among receptivity to organizational change, individual variables of professors and organizational variables in junior colleges. The population for this study was 12,920 professors in 139 junior colleges. Using random sampling method considering subject, 800 professors in 40 colleges were sampled for this study. The data were collected from May 26 to June 13. A total of 445 out of 800 questionnaires were returned of which 441 of 40 junior colleges were used for analysis after data cleaning. These data were analyzed by both descriptive statistics and One-way ANOVA with Random Effects, Ranmdom-Coefficients Regression Model, and Intercepts-and Slopes-as-Outcomes Model of hierarchical linear model(HLM). All data analysis was accomplished using the SPSS 20.0 for windows program and the HLM 6.0 for windows program. An alpha level of 0.05 was established priori for determining the significance. The findings of the study were as follows: First, the level of receptivity to organizational change of professions in junior college was 3.94. Second, 56.5% of total variance in receptivity to organizational change was individual level variance. 43.5% of total variance in receptivity to organizational change was organizational level variance. Third, personal valence about organizational change, psychological ownership, experience of assignment, years of service and job security had positive effects on receptivity to organizational change while years of service had negative effects on receptivity to organizational change. The effect of personal valence about organizational change was highest, and the effect of job security was lowest. Fourth, degree of organizational change, participative decision-making, group culture and accessibility of information related to organizational change had positive effects on receptivity to organizational change. The effect of degree of organizational change was highest, and the effect of accessibility of information related to organizational change was lowest.

• International Area Studies Review
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• v.21 no.4
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• pp.173-194
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• 2017

The research study conducted logistics regression analysis through HLM (Hierarchical Linear Modeling) and presented the value of the outcome in order to investigate characteristic factors of demanders which influence the intention to move into public rental housing. (1) The results of the regression analysis of characteristic factors of household and housing were analyzed as having the significant effect on the intention to move in public rental housing, according to residents moving in monthly rent housing, residents' occupations, rental housing, the number of household, the location of surrounding public rental housing, monthly average income, children's educational level, the number of children, the types of housing and one's own house, in order, out of the types of housing tenure. (2) The results of the regression analysis of characteristic factors of the conditions of location were analyzed that out of the conditions of location of the top five areas in public rental rates, what influences significant effects on the intention to move in public rental housing is the location of surrounding rental housing, income, the number of household and children, children's educational level, job state, housing types, ones' own house, rent housing, monthly rent housing, in order. (3) In case of Seoul, Expanding public rental housing is inevitable in order to stabilize ordinary people's housing stability, owing to the high and rental prices of private housing. Nevertheless, an accurate analysis of the intention to move in public rental housing has not been conducted. Eventually, the research was, thus, conducted, based on the fact that the preference on public housing is low. According to the analytic results of the study, it is required for the government institutions and agencies should consider individual and local characteristics and provide an alternative that meets the real situation, in order to help ordinary citizens with low incomes stabilize housing.