• Korean Journal of Childcare and Education
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• v.11 no.2
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• pp.59-85
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• 2015

The purpose of this study was to investigate the effects of child care teachers' emotional supports in individual classrooms on children's social skills, including self-control, assertion, cooperation, and responsibility that were related to their character development. Data were collected in a purposive sample involving 32 teachers working with 646 children at age five and 555 parents of the children. Hierarchical Linear Modeling (HLM) was used to analyze a two-level model. The results showed that there were significant differences among classes with data reported by teachers but characteristics such as teachers' education and work experiences, child-teacher ratio, and type of child care centers as well as teacher's emotional supports did not explain the differences. Children's age and gender, which were predictors at the individual level, significantly explained their level of social skills reported by parents as well as teachers. The findings implied that other predictors influencing differences among classes should be explored in future studies.

• Korean Journal of Social Welfare
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• v.66 no.4
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• pp.77-100
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• 2014

To validate the effects of students' individual factor, school organizational factor, and teacher factor on violent behavior toward peers in school, this study applied Hierarchical Linear Modeling and analyzed it using the HLM 7 program. To this end, it used survey data of students from 50 middle schools in Seoul and Gyeonggi province. A total of 1,777 cases from 50 middle schools were used for individual student-level analysis (Level 1), and used for school-level analysis (Level-2). According to the results of the analysis, student-level variables such as attitude toward violence, experience of child abuse at home, and delinquent peers had significant effects on school violence. The effects of violent discipline by teacher, which are used as a school-level variable, was statistically significant. Based on the result of the study, action plans and policies to resolve school violence were discussed.

• Journal of The Korean Association of Information Education
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• v.21 no.4
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• pp.425-435
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• 2017

The purpose of this study is to explore the differences between Korea and Japan in terms of the effects of student- and school-level ICT-related factors on computer-based problem solving ability in PISA 2012 achievement results. PISA 2012's computer-based problem solving assessment included 5,033 students from 156 schools in Korea and 6,351 students from 191 schools in Japan. A 2-level hierarchical linear model (HLM) was employed to analyze data. Both of Korean and Japanese students, students with the earlier use of computer and the Internet, higher socioeconomic background and higher openness to problem reported better problem solving scores than their counterparts. Also, accessibility to ICT equipment provided by home or school was found to be a negative effect on problem solving in both countries. Differences in the effects of purposes and attitudes for ICT use, teacher-student relationship, and creative out-of-school activities on problem solving ability were found between two countries.

• Journal of the Korean Regional Science Association
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• v.32 no.1
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• pp.67-82
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• 2016

This study aims to test the spatial mismatch hypothesis by exploring the relationship between income and commuting time in Seoul, Korea. For this purpose, we analyze the commuting times of individuals who commute to Seoul, using the data for the metropolitan household survey. We employed a hierarchial linear model(HLM) to capture the effects of both individual attributes and regional attributes, and their interactions. The results show that the commuting time decreases with household income controlling for the regional attributes, and the effect of income increases with the housing price of the location of a commuter's firm. This implies that the spatial mismatch holds for Seoul as follows: Lower personal income and housing affordablility extend individuals' commuting times, and the destinations' characteristics such as housing type and land use also have impacts on commuting time. These results have some policy implications for achieving social equity in terms of spatial structure of the city.

• Journal of Labour Economics
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• v.30 no.2
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• pp.87-118
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• 2007

Using KRIVET's Graduates Economic Activities Survey for 2005, this article examines the relationship between university ranking and labor market outcome, with a focus on wage differentials existing between provincial and Seoul metropolitan area university graduates. According to the analysis results, the average monthly wage for provincial university graduates was 1,747.7 thousand Korean won, which is 11.5% lower than that for graduates of universities in the Seoul metropolitan area. School effects on individual wage were estimated to about 12.2% after applying Hierarchical Linear Model technique, which means that university explains only an insignificant part of the total variance in wage among graduates. After controlling for the selection bias, the ability difference between the two areas, by applying the Heckman type 2SLS wage function and Neumark wage differential decomposition technique, the wage gap resulting from the segregation was not identified. This implies that, to a significant extent, the wage gap between provincial and Seoul metropolitan university graduates is attributed to the difference in productivity among individual graduates, rather than to the wage segregation. Also, the estimated wage function by applying Quantile Regression technique indicates that there does not exist any significant wage segregation difference by wage quantile.

• Korean Journal of Social Welfare
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• v.64 no.4
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• pp.137-161
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• 2012

The importance of voucher service evaluation is increasing with the expansion of voucher, but the previous studies on performance evaluation could not reflect the characteristics of voucher. But there is no study on the factors affecting voucher performance. Thus, this study focuses on the empirical analysis of voucher program performance and analysed the factors affecting voucher satisfaction. Data used in this study is collected form 70 social service agencies that deliver voucher service and 1445 service users in Community-Development voucher service in Community Service Investment Program. The methods applied in this study are Hierarchial Linear Model(HLM) using service user variables(level 1) and service agency variables(level 2). These variables are extracted from the previous studies on performance of social welfare service and voucher service. The findings show that user's satisfaction is influenced by level 1 variables such as sex, need and also influenced by level 2 variables of service type and area* organization type. On these analysis, this study gives policy implication.

• Journal of Korean Society of Transportation
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• v.20 no.4
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• pp.163-175
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• 2002

Fatalities from traffic accidents constitute one of the major health issues as well as safety ones in Korea. It has been reported that traffic accident is affected by the combined effects of road. vehicle. and human factors. Over the past few decades, a number of studies have been conducted to find the impact of road geometric factors on traffic safety. The purpose of this study is to investigate the effect of road geometric factors on traffic safety on Korean expressways. Detailed geometric design data were available from Korea Highway Corporation. Five-year traffic accident data on Honam expressway were collected and analyzed. It was found that following geometric factors influence traffic safety on expressways : radius of curve, curve length, and length of straight section. Furthermore, the existence of I.C. turned out to have a significant impact on traffic safety level. Based on the data analysis several multiple regression forms that relate traffic accident frequencies and geometric factors on expressways are developed.

• Korean Journal of Social Welfare
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• v.68 no.1
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• pp.5-22
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• 2016

We examined how public social expenditure and individual socio-demographic factors affect individual voluntary activities(volunteering, giving). Hierarchical linear model(HLM) was employed to a nested data set with 37,648 individual subjects and 16 local governments in Korea. HLM analyses yield an insignificant direct effect of public expenditure to volunteering and giving, while individual factors all have significant effects on them. Finally, this study discussed why public social expenditure factor does not have significant influence in this data, and suggested policy implications for promoting volunteering and giving.

• Journal of the Korean housing association
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• v.25 no.6
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• pp.39-47
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• 2014

The background of this study is to examine the structure of housing price of which characteristics are not equal but hierarchical in the apartment complexes. So, the purpose of this study is to analyze the influences of apartment complex characteristics on the housing price within the same regional boundary by HLM. The data used as dependent variables were the market prices of 938 units from 29 apartment complexes by stratified sampling. The 2nd level independent variables is the Housing complex characteristics which are composed of the housing complex & locational variables and the 1st level independent variables are the unit characteristics. The results are as follows. First, the first model shows that the 2nd level variables explains 68% of the housing prices. Second, the influential variables of the 1st level unit variable are 'dwelling exclusive area', 'floor of dwelling' and 'direction of dwelling'. Third, the influential variables of the housing complex variables in the 2nd level are 'lot area', 'the building-to-land ratio', 'the number of unit', 'the number of parking lots per unit', 'Green space area' and 'open space area per unit'. The last, the influential variables of the housing locational variables in the 2nd level are 'distance to subway and park' and the number of school and park within a radius of 1km.

• Journal of the Korean Data and Information Science Society
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• v.26 no.4
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• pp.957-970
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• 2015

The purpose of this study was to analyze records of Korean pro-basketball using general linear model (two-way ANOVA and hierarchical multiple regression analysis). Korea Basketball League (KBL) informed the records (2014-2015 season) of this study. The eight variables (TA, 2PA, 3PA, 2P, 3P, Ast, TFB, CH) were selected in content validity. SPSS program was used to analyze general linear model. All alpha level was set at 0.05. Major results were as follow. 3PA had significant interaction effect between victory & defeat variable and home & away variable. Victory teams showed that 3PA was higher in home games than away games, and defeat teams was the other. 2PA, AS, TFB, and CH were selected significant variables affecting victory and defeat. In result of hierarchical regression, Ast had significant moderation effect between 3PA and TS. TFB also had significant moderation effect between AS between 2P. The other construct (Ast between 2PA and TS; TFB between AS between 3P) had no significant moderation effect. In the effect of 2PA, 3PA and Ast to TS, CH also had no significant moderation effect.