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http://dx.doi.org/10.15813/kmr.2019.20.2.001

Structural Equation Modeling Using R: Mediation/Moderation Effect Analysis and Multiple-Group Analysis  

Kwahk, Kee-Young (국민대학교 경영대학/비즈니스IT전문대학원)
Publication Information
Knowledge Management Research / v.20, no.2, 2019 , pp. 1-24 More about this Journal
Abstract
This tutorial introduces procedures and methods for performing structural equation modeling using R. To do this, we present advanced analysis methods based on structural equation model such as mediation effect analysis, moderation effect analysis, moderated mediation effect analysis, and multiple-group analysis with R program code using R lavaan package that supports structural equation modeling. R is flexible and scalable, unlike traditional commercial statistical packages. Therefore, new analytical techniques are likely to be implemented ahead of any other statistical package. From this point of view, R will be a very appropriate choice for applying new analytical techniques or advanced techniques that researchers need. Considering that various studies in the social sciences are applying structural equations modeling techniques and increasing interest in open source R, this tutorial is expected to be useful for researchers who are looking for alternatives to existing commercial statistical packages.
Keywords
Structural equation modeling; R programming; lavaan; Mediation effect analysis; Moderation effect analysis; Multiple-group analysis; LISREL; AMOS;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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1 곽기영 2019a. "R을 이용한 구조방정식모델링: 분석절차 및 방법," 지식경영연구 (20:1), pp. 1-26.   DOI
2 곽기영 2019b. SPSS를 이용한 통계데이터분석, 서울: 도서출판 청람.
3 곽기영 2017. R 기초와 활용, 서울: 도서출판 청람.
4 Baron, R. M., and Kenny, D. A. 1986. "The Moderator-Mediator Variable Distinction in Social Psychological Research: Conceptual, Strategic, and Statistical Considerations," Journal of Personality and Social Psychology (51:6), pp. 1173-1182.   DOI
5 Bustos, C. 2017. http://rpubs.com/clbustos/sem_multigroup_regression.
6 Foldnes, N. 2014. https://rpubs.com/njaalf/workshop2014.
7 Kearney, M. W. 2015. https://rpubs.com/mkearney/103098.
8 lavaan 2019. http://lavaan.ugent.be/tutorial/index.html.
9 Michalak, N. M. 2018a. http://nickmichalak.com/blog_entries/2018/nrg01/nrg01.html.
10 Michalak, N. M. 2018b. http://nickmichalak.com/blog_entries/2018/nrg02/nrg02.html.
11 Washburn, A. N. https://ademos.people.uic.edu/Chapter15.html.
12 Rosseel, Y. 2012. "lavaan: An R Package for Structural Equation Modeling," Journal of Statistical Software (48:2), pp. 1-36.   DOI