Using the Tidyverse Package in R for Simulation Studies in SEM
- 주제(키워드) Structural equation modeling , simulation study , R , tidyverse
- 주제(기타) Mathematics, Interdisciplinary Applications
- 주제(기타) Social Sciences, Mathematical Methods
- 설명문(일반) [Lee, Sunbok; Sriutaisuk, Suppanut; Kim, Hanjoe] Univ Houston, Houston, TX 77204 USA
- 등재 SCIE, SSCI, SCOPUS
- 발행기관 ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD
- 발행년도 2020
- 총서유형 Journal
- URI http://www.dcollection.net/handler/ewha/000000172034
- 본문언어 영어
- Published As https://dx.doi.org/10.1080/10705511.2019.1644515
초록/요약
A Monte Carlo simulation study is an essential tool for examining the behavior of various models in structural equation modeling (SEM). Recently, the tidyverse package in R is gaining popularity for data science because of its efficient data manipulation, exploration, and visualization capabilities. This article introduces how to write more parsimonious, readable, maintainable, and parallelizable R simulation codes using the tidyverse package. Specifically, this article (a) introduces some key functions and technical terminologies in the tidyverse package that are useful for implementing simulation studies in R, and (b) provides a concrete example to demonstrate how to generate datasets, run models, parallelize the simulation process, summarize results, and visualize results using the tidyverse package. By leveraging the power of the tidyverse package, researchers can conduct their simulation studies more efficiently.
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