R을 이용한 구조방정식모델링: 분석절차 및 방법
Structural Equation Modeling Using R: Analysis Procedure and Method
0
조회
0
다운로드
35
인용
0
참고문헌
키워드
초록
This tutorial introduces procedures and methods for performing structural equation modeling using R. For this, we present the whole process of analyzing the structural equations model from the confirmatory factor analysis to the path diagram generation using the lavaan package, which is relatively well evaluated among the R packages supporting the structural equation modeling, together with the R program codes. Considering that research applying structural equation modeling techniques is the mainstream in a variety of social sciences, including business administration, and that there is growing interest in open source R, this tutorial focuses on researchers who are looking for alternatives to traditional commercial statistical packages and is expected that it will be a useful guidebook for them.
Abstract
This tutorial introduces procedures and methods for performing structural equation modeling using R. For this, we present the whole process of analyzing the structural equations model from the confirmatory factor analysis to the path diagram generation using the lavaan package, which is relatively well evaluated among the R packages supporting the structural equation modeling, together with the R program codes. Considering that research applying structural equation modeling techniques is the mainstream in a variety of social sciences, including business administration, and that there is growing interest in open source R, this tutorial focuses on researchers who are looking for alternatives to traditional commercial statistical packages and is expected that it will be a useful guidebook for them.
참고문헌 (18)
- 곽기영, "R 기초와 활용" (2017), 도서출판 청람
- 곽기영, "SPSS를 이용한 통계데이터분석" (2019), 도서출판 청람
- 윤지현, "제너러티비티역량: 개념적 정의 및 결정요인", 지식경영연구, 15(3), pp.95~120 (2014), 한국지식경영학회[DOI]
- Anderson, J. C., "Structural Equation Modeling in Practice: a Review and Recommended Two-Step Approach", Psychological Bulletin, 103(3), pp.411~423 (1998)
- Bagozzi, R. P., "On the Evaluation of Structural Equation Model", Journal of Academy of Marketing Science, 16(1), pp.74~94 (1988)
- Bentler, P. M., "Comparative Fit Indexes in Structural Models", Psychological Bulletin, 107, pp.238~246 (1990)
- Bentler, P. M., "Significance Tests and Goodness of Fit in the Analysis of Covariance Structures", Psychological Bulletin, 88, pp.588~606 (1980)
- Bollen, K. A., "Structural Equations with Latent Variables" (1989), John Wiley and Sons, Inc
- Browne, M. W., "Testing Structural Equation Models", pp.136~162 (1993), Sage
- Fornell, C., "Evaluating Structural Equation Models with Unobservable Variables and Measurement Error", Journal of Marketing Research, 18, pp.39~50 (1981)
- Hair Jr., J. F., "Multivariate Data Analysis: A Global Perspective" (2010), Pearson Education
- Jöreskog, K. G., "LISREL VI: Analysis of Linear Structural Relationships by Maximum Likelihood, Instrumental Variables, and Least Squares Methods" (1984), Scientific Software
- Jöreskog, K. G., "LISREL 8 User’s Reference Guide" (1996), Scientific Software
- "lavaan" (2019)[URL]
- Marsh, H. W., "Application of Confirmatory Factor Analysis to the Study of Self-concept: First- and Higherorder Factor Models and Their Invariance across Groups", Psychological Bulletin, 97, pp.562~582 (1985)
- Tanaka, J. S., "A Fit Index for Covariance Structure Models under Arbitrary GLS Estimation", British Journal of Mathematical and Statistical Psychology, 38, pp.197~201 (1985)
- Wheaton, B., "Assessing Reliability and Stability in Panel Models", Sociological Methodology, 8(1), pp.84~136 (1977)
- Rosseel, Y., "lavaan: An R Package for Structural Equation Modeling", Journal of Statistical Software, 48(2), pp.1~36 (2012)