The Korean Journal of Applied Statistics (응용통계연구)

The Korean Statistical Society (한국통계학회)
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Comparison of results from two analyzing methods for the relation between psychological self-sufficiency and economic self-sufficiency

심리적 자활과 경제적 자활의 관계에 대한 두 가지 분석 방법의 결과 비교

  • Jung, Hyeyun (Department of Applied Statistics, Chung-Ang University) ;
  • Lim, Changwon (Department of Applied Statistics, Chung-Ang University)
  • 정혜윤 (중앙대학교 응용통계학과) ;
  • 임창원 (중앙대학교 응용통계학과)
  • Received : 2017.08.21
  • Accepted : 2017.10.19
  • Published : 2017.12.31
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Abstract

Self-sufficiency (SS), which is often used in the social welfare policy of the American welfare system, is an important concept in the field of social welfare and has been studied so much. Among such studies there are also studies on how the employment hope scale and the perceived employment barrier scale, which the psychological SS (PSS) consists of, affect the economic SS (ESS) for low-income job seekers in the United States. These studies are generally conducted using survey data, which are mainly analyzed by structural equation model (SEM) in the field of social science field. In the survey data, the number of measurement variables is generally large and there is a correlation between variables. In such cases, Principal Component Analysis (PCA) can be used. The purpose of this study is to compare the results of SEM and PCA on the survey data mainly dealt with in the social science field. We compare the performance of the two analyzing methods through a small simulation study. We also analyze a real survey data of the ESS and the PSS by using these two methods and compare the results.

미국의 복지제도의 사회복지정책에서 종종 사용되는 자활(self-sufficiency; SS)은 사회복지학 분야에서 중요한 개념이며 많은 연구가 있어왔다. 이러한 연구들 중에는 심리적 자활(phycological SS; PSS)를 구성하는 자립 의지 척도(employment hope scale; EHS)와 인지된 고용 장벽 척도(perceived employment barrier scale, PEBS)가 미국의 저소득 구직자들의 경제적 자활(economic self-sufficiency; ESS)에 어떻게 영향을 미치는지에 대한 연구도 있다. 이러한 연구는 일반적으로 설문조사 자료를 이용하여 수행되며, 사회과학분야에서 설문조사 자료는 주로 구조방정식모형(structural equation model; SEM)으로 분석된다. 설문조사 자료에서는 일반적으로 측정변수의 개수가 많고 변수들 간에 상관관계가 있는 경우가 대부분이다. 이러한 경우 주성분 분석(principal component analysis; PCA)을 사용할 수 있다. 본 연구의 목적은 사회과학 분야에서 주로 다루는 설문조사 자료를 SEM과 PCA를 사용하여 분석하였을 경우 그 결과를 비교하는 것이다. 우리는 두 가지 분석 방법의 성능을 모의실험을 통하여 비교하였다. 우리는 또한 PSS와 ESS에 대한 실제 설문조사 자료를 이 두 가지 분석 방법으로 분석하고 그 결과를 비교하였다.

Keywords

References

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