metaSEM: osmasem – R documentation

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metaSEM

osmasem

One-stage meta-analytic structural equation modeling

Description

It fits MASEM with the one-stage MASEM (OSMASEM) approach.

Usage

osmasem(model.name="osmasem", RAM=NULL, Mmatrix=NULL,
        Tmatrix=NULL, Jmatrix=NULL, Ax=NULL, Sx=NULL,
        RE.type=c("Diag", "Symm"), data,
        subset.variables=NULL, subset.rows=NULL, 
        intervals.type = c("z", "LB"),
        mxModel.Args=NULL, mxRun.Args=NULL,
        suppressWarnings=TRUE, silent=TRUE, run=TRUE, ...)

Arguments

`model.name`	A string for the model name in `mxModel`.
`RAM`	A RAM object including a list of matrices of the model returned from `lavaan2RAM`. If it is given, `Mmatrix` and `Tmatrix` arguments will be ignored.
`Mmatrix`	A list of matrices of the model implied correlation matrix created by the `create.vechsR`. It is only required when `RAM` is null.
`Tmatrix`	A list of matrices of the heterogeneity variance-covariance matrix created by the `create.Tau2`. It is only required when `RAM` is null.
`Jmatrix`	The Jacobian matrix of the mean structure in mxMatrix. The covariance structure is Jmatrix %&% Tau2 + Vi. If it is not givin, an identity matrix will be used.
`Ax`	A Amatrix of a list of Amatrix with definition variables as the moderators of the Amatrix. It is used to create the `Mmatrix`.
`Sx`	A Smatrix of a list of Smatrix with definition variables as the moderators of the Smatrix. It is used to create the `Mmatrix`.
`RE.type`	Type of the random effects.
`data`	A list of data created by the `Cor2DataFrame`.
`subset.variables`	A character vector of the observed variables selected for the analysis.
`subset.rows`	A logical vector of the same length as the number of rows in the data to select which rows are used in the analysis.
`intervals.type`	Either `z` (default if missing) or `LB`. If it is `z`, it calculates the 95% confidence intervals (CIs) based on the estimated standard error. If it is `LB`, it calculates the 95% likelihood-based CIs on the parameter estimates.
`mxModel.Args`	A list of arguments passed to `mxModel`.
`mxRun.Args`	A list of arguments passed to `mxRun`.
`suppressWarnings`	Logical. If it is `TRUE`, warnings are suppressed. This argument is passed to `mxRun`.
`silent`	Logical. An argument is passed to `mxRun`
`run`	Logical. If `FALSE`, only return the mx model without running the analysis.
`...`	Not used yet.

Value

An object of class osmasem

Author(s)

Mike W.-L. Cheung <mikewlcheung@nus.edu.sg>

References

Jak, S., & Cheung, M. W.-L. (2020). Meta-analytic structural equation modeling with moderating effects on SEM parameters. Psychological Methods, 25 (4), 430-455. https://doi.org/10.1037/met0000245