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Journals / International Journal of Assessment Tools in Education / 2021 / Cilt: 8 - Sayı: 3

MonteCarloSEM: An R Package to Simulate Data for SEM

Fatih ORÇAN
Pages
704–713
Publication Date
2022-10-18
DOI
—
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

Also, an example is given to show how the functions within the package works.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:Monte Carlo simulation is a useful tool for researchers to estimated accuracy of a statistical model.
📊
Key Findings & Data:It is usually used for investigating parameter estimation procedure or violation of assumption for some given conditions.
💡
Conclusion & Impact:Also, an example is given to show how the functions within the package works.
🔬Design:Modeling & Simulation
📍Scope:Comprehensive Sample
⚙️Variables:Monte Carlo Simulation · Structural Equation Modeling · R package

Abstract

Monte Carlo simulation is a useful tool for researchers to estimated accuracy of a statistical model. It is usually used for investigating parameter estimation procedure or violation of assumption for some given conditions. To run a simulation either the paid software or open source but free program such as R is need to be used. For that, researchers must have a good knowledge about the theoretical procedures. This paper introduces the R package called MonteCarloSEM. The package helps to simulate and analyze data sets for some simulation condition such as sample size and normality for a given model. Also, an example is given to show how the functions within the package works.

Özet

Monte Carlo simulation is a useful tool for researchers to estimated accuracy of a statistical model. It is usually used for investigating parameter estimation procedure or violation of assumption for some given conditions. To run a simulation either the paid software or open source but free program such as R is need to be used. For that, researchers must have a good knowledge about the theoretical procedures. This paper introduces the R package called MonteCarloSEM. The package helps to simulate and analyze data sets for some simulation condition such as sample size and normality for a given model. Also, an example is given to show how the functions within the package works.

🔖

Cite This Article

ORÇAN, F. (2022). MonteCarloSEM: An R Package to Simulate Data for SEM. International Journal of Assessment Tools in Education, Cilt: 8 - Sayı: 3, 704–713. https://ajindex.com/articles/540055

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References (9)

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