bootuniR2: Fit Models on the bootstrapped correlation matrices

In metaSEM: Meta-Analysis using Structural Equation Modeling

Fit Models on the bootstrapped correlation matrices

Description

It fits structural equation models on the bootstrapped correlation matrices.

Usage

bootuniR2(model, data, n, ...)

Arguments

model	A model in sem syntax.
data	A list of correlation matrices.
n	Sample size in fitting the structural equation models
...	Further arguments to be passed to sem.

Details

This function fits the lavaan model with the bootstrapped correlation matrices. It implements the parametric bootstrap approach suggested by Yu et al. (2016). It is included in this package for research interests. Please refer to Cheung (2018) for the issues associated with this parametric bootstrap approach.

Value

A list of the fitted object from sem.

Author(s)

Mike W.-L. Cheung <[e-mail]>

References

Cheung, M. W.-L. (2018). Issues in solving the problem of effect size heterogeneity in meta-analytic structural equation modeling: A commentary and simulation study on Yu, Downes, Carter, and O'Boyle (2016). Journal of Applied Psychology, 103, 787-803.

Yu, J. (Joya), Downes, P. E., Carter, K. M., & O'Boyle, E. H. (2016). The problem of effect size heterogeneity in meta-analytic structural equation modeling. Journal of Applied Psychology, 101, 1457-1473.

See Also

bootuniR2, tssemParaVar, Nohe15

metaSEM documentation built on Sept. 30, 2024, 9:21 a.m.