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KMID : 0613620180380020555
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Health Social Welfare Review
2018 Volume.38 No. 2 p.555 ~ p.588
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An Analysis of Research Trends in Social Welfare Studies in Korea: Association Rules Approach
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Yoo Hye-Rim
Min In-Sik
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Abstract
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In this study, we conduct the association rules approach to analyze recent research trends in social welfare studies. Unlike previous literature based on 1-2 academic journals, there exists an academic contribution in that we deal with the latest 2377 articles from five major journals. Research trends are defined not only by topics but also by econometric methodology and empirical data. From association rules, we found that first, a number of recent subjects of research on the elderly, employment economy, poverty and income has increased significantly. Second, regression and logit analyses are most commonly used as an analytical tool. Mediation and moderation analyses through structural equation model are also frequently associated. Third, in terms of lift measure, multinomial logit analysis using Korea Welfare Panel Survey (KOWEPS) data shows a high degree of association. Fourth, restricting to the elderly-related papers, depression topics and mediation analysis are highly associated. It is expected that this study can identify the flow of change of research methodologies and fields of interest in the social welfare academic world. Through this, it is possible to supplement the research competitiveness of the related-scholars. This study suggests diversification of research topics, harmonization of qualitative and quantitative methodologies, and application of the new research methodology such as machine learning.
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KEYWORD
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Social Welfare, Research Trend, Association Rules, Apriori Algorithm
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