tssemParaVar | R Documentation |
It estimates the heterogeneity of the parameter estimates of the TSSEM objects using either the bootstrap or the delta methods.
tssemParaVar(tssem1.obj, tssem2.obj, method=c("bootstrap", "delta"),
interval=0.8, Rep=50, output=c("data.frame", "matrices"),
nonPD.pop=c("replace", "nearPD", "accept"))
tssem1.obj |
An object of class |
tssem2.obj |
An object of class |
method |
If it is |
interval |
The desired interval, e.g., .8 or .95. |
Rep |
The number of parametric bootstrap. It is ignored when the
method is |
output |
Either a |
nonPD.pop |
If it is |
The bootstrap method is based on the discussion in Cheung (2018) and Yu et al. (2016). The delta method is an alternative method to obtain the heterogeneity.
Either a data.frame
or matrices
of the output.
Mike W.-L. Cheung <mikewlcheung@nus.edu.sg>
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.
bootuniR1
, bootuniR2
, Nohe15
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