• Title/Summary/Keyword: Hierarchial Linear Model(HLM)

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A Study on the Factors Affecting Social Service Satisfaction Using Voucher - Focusing on the Community Social Investment Service - (바우처를 활용한 사회서비스의 이용자 만족도에 영향을 미치는 요인에 관한 연구 -지역사회서비스투자사업을 중심으로-)

  • Shin, Chang Hwan
    • 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.

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The Effects of Cultural Capital and Social Welfare Expenditure on the Elder's Subjective Happiness

  • Bang, Sung-a;Park, Hwie-Seo
    • Journal of the Korea Society of Computer and Information
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    • v.22 no.12
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    • pp.163-170
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    • 2017
  • The purpose of this study is to introduce policy and theoretical implications by analyzing affecting factors for the elder's happiness. For this study, we analyzed data using HLM. Data include a world value survey(hereafter, WVS) as personal level analysis data and also OECD's Social Expenditure Database(hereafter, SOCX) and database from the World Bank as national level analysis data. The subjects of personal level analysis were the elder who are over 65-years od age, and they were total 3,297 people, and while the subjects of national level analysis were total 9 OECD countries. For the data analysis, hierarchial linear model(HLM) analysis was done by using HML 7.0 program. As a result of analysis, First, for the elderly's happiness, they should improve self-disposition, members of social groups, and social class. Second, the old-age pension and the survivor's pension had no meaningful effect on the happiness. but it was found that self - disposition, social class, gender, and health status showed meaningful interaction effect according to old - age pension, survivor pension, per capita GDP, income inequality. This suggests that efforts to improve the happiness of the elderly should be made at the individual level and the national level at the same time.

A study on the spatial mismatch by income and regional characteristics (지역 특성에 따른 소득별 직주불일치에 관한 연구)

  • Lee, Minju;Park, In Kwon
    • 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.

Social Work Practitioner's Job Performance - a Multi-Level Analysis - (사회복지 종사자의 직무수행에 관한 다수준 연구)

  • Cho, Sung-Woo;Um, Myung-Yong
    • Korean Journal of Social Welfare
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    • v.61 no.4
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    • pp.137-161
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    • 2009
  • In an effort to identify predictors of job performance, research studies in social work administration has been so far on the individual practitioners' levels of knowledge and skills, which could be used in a workplace. As the theoretical concept of organizational environment was fully introduced into social work administration research, however, studies on practitioners' job performance began to have interest in the team or the organizational level variables as well as individual level variables. Along the course of this tendency, this study attempted to test the effect of individual, team, and organizational level variables on the job performance of human service workers. The individual level variables consisted of knowledge, skills, job satisfaction, personality, and counter-productive work behaviors of workers. The team or the organizational level variables included situational constraint, organizational justice, job characteristics, government-dependency, and inter-organizational cooperation. Multi-level complex survey data collected by cluster sampling method from 314 practitioners in 23 organizations were analyzed using Hierarchial Linear Model. Results showed that both task and contextual performance were affected by individual, team, and organizational level variables in various ways.

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