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Using the Tidyverse Package in R for Simulation Studies in SEM

Title
Using the Tidyverse Package in R for Simulation Studies in SEM
Authors
Lee, SunbokSriutaisuk, SuppanutKim, Hanjoe
Ewha Authors
이선복
Issue Date
2020
Journal Title
STRUCTURAL EQUATION MODELING-A MULTIDISCIPLINARY JOURNAL
ISSN
1070-5511JCR Link

1532-8007JCR Link
Citation
STRUCTURAL EQUATION MODELING-A MULTIDISCIPLINARY JOURNAL vol. 27, no. 3, pp. 468 - 482
Keywords
Structural equation modelingsimulation studyRtidyverse
Publisher
ROUTLEDGE JOURNALS, TAYLOR &

FRANCIS LTD
Indexed
SCIE; SSCI; SCOPUS WOS
Document Type
Article
Abstract
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.
DOI
10.1080/10705511.2019.1644515
Appears in Collections:
사범대학 > 교육학과 > Journal papers
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