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NTIS 바로가기Asia pacific journal of information systems, v.19 no.4, 2009년, pp.47 - 75
김종기 (Division of Management, College of Business, Pusan National University) , 전진환 (Institute of Management and Economics, Pusan National University)
Recently, researches on Management Information Systems (MIS) have laid out theoretical foundation and academic paradigms by introducing diverse theories, themes, and methodologies. Especially, academic paradigms of MIS encourage a user-friendly approach by developing the technologies from the users'...
핵심어 | 질문 | 논문에서 추출한 답변 |
---|---|---|
SEM은 적용기법에 따라 어떻게 구분되는가? | SEM은 적용기법에 따라 공분산 기반(covariance-based)과 컴포넌트 기반(component-based) SEM으로 구분한다[Gefen et al., 2000]. | |
SEM이 교육학, 심리학, 사회심리학, 경영학, 경제학 등 광범위한 영역에서 비실험자료들을 활용한 다변량 데이터의 인과관계를 추정하는데 주로 활용되는 이유는 무엇인가? | 또한 변수들의 관계를 포괄적으로 측정 및 평가할 수 있어 탐색 및 확인적 요인분석이 가능하며, 일련의 사회현상에 대한 설명, 예측 및 통제에 필요한 정보를 제공한다. SEM은 연구모형의 이론적 개념과 개념간 복잡한 관련성에 대해 측정과 예측이 동시에 가능하기 때문에 교육학, 심리학, 사회심리학, 경영학, 경제학 등 광범위한 영역에서 비실험자료들을 활용한 다변량 데이터의 인과관계를 추정하는데 주로 활용된다[Lee, 1990; Bagozzi and Fornell, 1982; McDonald and Ho, 2002; Shah et al., 2006]. | |
공분산 기반(covariance-based)과 컴포넌트 기반(component-based) SEM의 차이는 무엇인가? | 이 두 기법 사이에는 분명한 차이가 있는데, 먼저 공분산기반 SEM은 측정변수(지표 : indicator)간 예측오차가 아니라 실증적 공분산(empirical covariance)과 이론기반의 구축된 가설적 공분산(hypothetical covariance) 사이의 적합을 그 목적으로 한다. 따라서 경로계수(path coefficient)들은 측정변수들 사이의 예측력을 극대화하는데 있지 않다. 반면 PLS는 공분산을 이용하는 것이 아니라 측정오차와 잠재변수들간 예측오차를 최소화시켜 경로계수의 예측력을 극대화하도록 추정한다[Fornell and Cha, 1994]. 이에 따라 PLS는 측정모형과 구조모형을 동시에 측정할 수 있는 비교적 초기단계의 이론검증에 유용하며[Fornell and Bookstein, 1982], LISREL, AMOS, EQS와 같이 공분산 기반 SEM에 비해 표본크기와 분산에 관한 제약이 적다[Chin and Newsted, 1999]. |
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