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28 Nov 2022 · Introduction. This paper demonstrates how to conduct Monte Carlo power analyses (Muthen & Muthen, 2002) for tests of (moderated) mediation using the R package simsem (Pornprasertmanit et al., 2021 ).
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12 Dis 2013 · The existing literature on statistical power analysis for mediation models often assumes data normality and is based on a less powerful Sobel test instead of the more powerful bootstrap test. This study proposes to estimate statistical power to detect mediation effects on the basis of the bootstrap method through Monte Carlo simulation.
10 Jan 2019 · Learn how to use Stata's programming tools to perform Monte Carlo simulations for complex models such as multilevel/longitudinal and structural equation models. This blog post covers the basics of scalars, local macros, random number generation, and saving model output.
28 Nov 2022 · A more recently adopted method, Monte Carlo (MC) simulation, is more flexible and resolves many of the limitations noted above by estimating power of various test statistics (e.g., normal-theory-based t and F statistics in GLM, asymptotic z and χ 2 statistics in SEM).
The Monte Carlo Method for Assessing Mediation (MCMAM) was first described and evaluated by MacKinnon, Lockwood, & Williams (2004), but has much in common with the parametric bootstrap described by Efron & Tibshirani (1986).
15 Jun 2017 · Current recommendations for assessing power and sample size in mediation models include using a Monte Carlo power analysis simulation and testing the indirect effect with a bootstrapped confidence interval.
21 Sep 2021 · Power Analysis for Conditional Indirect Effects: A Tutorial for Conducting Monte Carlo Simulations with Categorical Exogenous Variables. September 2021. DOI: 10.31234/osf.io/35768. Authors:...
