• Korean Journal of Social Welfare
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• v.58 no.2
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• pp.119-141
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• 2006

This study aims to explore the status and characteristics of the working poor and to identify the major determinants of their statistic status. For this, longitudinal panel data (from 2nd wave(1999) data to 7th wave(2004) data) from Korean Labor and Income Panel Study (KLIPS), is used. The data is analyzed by adopting Hierarchical Generalized Linear Model (HGLM), which is known as an app.opriate data analysis method for the hierarchically structured data, to look at the factors that affect on the poverty status of the working people. The results show that 1) it is estimated that about 1 out of 10 working people (about 10.0%) are poor, and 2) sex, education level, marital status, region where they lives, employment status, occupation type, and industry type that they are working at are significant predictors in determining their poverty status. Unlike the results of the previous studies, however, the number of the household member, age are not influenced on their poverty status. Based on these results, several policy implications are presented at the end of this paper.

• 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 vocational education research
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• v.29 no.3
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• pp.133-156
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• 2010

This study examines corporate support in learning on individual participation in learning and organizational learning. For this purpose, First, what does corporate support in learning affect individual participation in learning? Second, what does corporate support in learning and individual participation influence organizational learning? This study analyzed 1,268 employees at 139 companies. Sample sizes averaged about 9.22 employee per corporate. This paper used statistical method of hierarchical linear model. Above all, the findings show that corporate support in both formal and informal learning has meaningful effect on individual participation in formal learning and relationship. The findings reveal that corporate support in formal learning has influence on capacity, organizational memory, learning competency, adaptation to environment except sharing value. Furthermore, individual participation in learning has positive effect of increased organizational learning in all areas. In particular, it is shown that participation in informal relationship plays an important role to improve individuals' organizational learning ability.

• The Journal of the Korea Contents Association
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• v.21 no.12
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• pp.662-675
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• 2021

In order to evaluate the effectiveness of the Jeollabuk-do social welfare errand center, this study focused on identifying the effects of users' personal characteristics and workers' job environment characteristics on user satisfaction. The data analyzed are survey data collected from users and workers at 11 social welfare errand centers in each city and county in Jeollabuk-do. In the detailed analysis, the first-level independent variable for the users' personal characteristics, the second-level independent variable for the worker's job environment characteristics, and the user satisfaction were set as the dependent variables, and then a hierarchical linear model analysis model was applied. As a result of the analysis, it was confirmed that households with disabilities, sense of job value, job stress, role overload, and salary satisfaction had a significant effect on the service satisfaction of users. The results of this analysis show that the characteristics of the job environment of the workers have a major effect on the satisfaction of service users. This suggests that there is a strong need for improvement in the fields.

• Journal of the Korean Regional Science Association
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• v.39 no.3
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• pp.49-63
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• 2023

This study investigates the occupational mobility patterns of young wage employees at the local level of the labor market and empirically examines the interplay between worker-level and local labor market-level determinants between 2010 and 2020. The 4th to 14th waves of the Youth Panel 2007 were integrated with the Korea Network for Occupations and Workers and the Local Area Labor Force Survey for estimation using hierarchical linear model. Our results indicate that Gross Regional Domestic Product per capita is key determinant of occupational upward mobility. Also, Estimates of employment size, population density, and the unemployment rate of local labor market have different effects depending on the education level and occupational location of youth workers, suggesting that the effects of structural factors of local labor market may not be distributed equally among all youth wage workers. The findings have policy implications regarding the recent rise in inequality and polarization in local labor markets.

• Journal of radiological science and technology
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• v.46 no.5
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• pp.435-444
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• 2023

The purpose of this study was to analyze the factors that demographic factors, radiation knowledge level, and radiation awareness could be affecting the benefits of radiation. From July 2022 to July 2023, after receiving consent to participate by using the link of Naver through Social Network Service (SNS) for the general public, 312 people were surveyed by self-registration method without collecting personal information. The questionnaire consisted of a total of 25 questions following demographic factors (5 questions including age group by life cycle, sex, monthly household income, residence), radiation knowledge level (8 questions including basic physical, biological effects, radiation protection technology), radiation awareness (12 questions including risk, management, benefit). Independent sample T-test and ANOVA tests were performed for significant differences in the average radiation awareness between variables, and hierarchical regression was performed to identify influencing factors on radiation benefits. As a result, the benefit of radiation was significantly high among the radiation awareness, but the awareness of the danger of radiation was insufficient to the level of recognizing it as safe. Men had significantly higher awareness of radiation management and benefits than women, and the awareness of radiation management was significantly higher in the middle class with a monthly household income of 4.31 million won or more. The higher the knowledge level of radiation, the higher the awareness of the benefits of radiation. The factors that had a positive effect on radiation benefits were the high level of radiation knowledge and awareness of radiation management.

• Journal of Information Technology Applications and Management
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• v.22 no.2
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• pp.149-169
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• 2015

This study tried to find out how to overcome multicollinearity problems in the structural equation model by creating a hierarchical construct model about the repurchase intention of social commerce. This study selected, as independent variables, price, quality, service, and social influence, based on literature review about social commerce, and then, as detailed variables of independent variables, selected system quality, information quality, transaction safety, order fulfillment and after-sales service, communication, subjective norms, and reputation. As results of empirical analysis about hierarchical construct model, all the independent variables were accepted having a significant impact on repurchase intention of social commerce. Next, this study analyzed the competition model that eight independent variables of price, system quality, information quality, transaction safety, order fulfillment and after-sales service, communication, subjective norm, and reputation directly influence the repurchase intention of social commerce. As results of empirical analysis, system quality, information quality, transaction safety, communication appeared to be insignificant. This study showed that hierarchical construct model is useful to overcome the multicollinearity problem in structural equational model and to increase explanatory power.

• 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 dental hygiene science
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• v.14 no.4
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• pp.554-562
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• 2014

This study was conducted to identify the factors influencing toothbrushing behaviors of elementary school students by adding the variable of 'self-efficacy' to the behavioral model based on the theory of planned behavior. To collect the data for an analysis, the self-administered questionnaire was distributed to 443 students in 4th to 6th grades of elementary school placed in Inchon Metropolitan City. The statistical package of PASW 18.0 was employed for the analysis. Results of the analysis revealed that the toothbrushing intention was explained by the subjective norm (${\beta}=0.343$), the self-efficacy (${\beta}=0.171$), the perceived behavioral control (${\beta}=0.163$), and the attitude toward the tooth-brushing behavior (${\beta}=0.135$). The toothbrushing behavior was explained by the toothbrushing intention (${\beta}=0.355$) and the self-efficacy (${\beta}=0.113$). The synthesis of such results suggested that both parents and teachers in school who would be influential to students should guide elementary school students to be habituated to the right toothbrushing. Also it was estimated that the students should understand the importance of toothbrushing through proper oral health education, and they should also become confident in spontaneous toothbrushing by providing them with an environment that could help them practicing the toothbrushing easily.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.41 no.5
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• pp.559-569
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• 2021

In this study, using structural equation modeling, a policy acceptance evaluation model was developed to evaluate the service items of roadsthat affect the acceptance of the Safety Speed 5030 policy. The relationship of influence on policy acceptance was found to be as follows: In the driver group, satisfaction with mobility (0.411), economy (0.217), safety (0.181), and environment (0.089) are in the order of top priority; and in the non-driver group, satisfaction with safety (0.466), mobility (0.223), environment (0.194), and economy (0.111) are in the order of top priority. From these results, in order to increase acceptance of the Safety Speed 5030 policy, it is necessary to differentiate the provision of services according to the characteristics of each road user type. This infers it is important to improve mobility for roads with a high hierarchy mainly used by driver groups, and to improve safety for roads with low hierarchy mainly used by non-driver groups. Therefore, the evaluation model for acceptance of the Safety Speed 5030 policy suggested in this study can be used as basic data for activating the Safety Speed 5030 policy in the future by reflecting the qualitative evaluation of users.