metaSEM (version 1.2.4)

Cheung09: A Dataset from TSSEM User's Guide Version 1.11 by Cheung (2009)

Description

Four studies were selected from the data set used by Cheung and Chan (2005; 2009). Some variables were randomly deleted to illustrate the analysis with missing data.

Usage

data(Cheung09)

Details

A list of data with the following structure:

data

A list of 4 studies of correlation matrices

n

A vector of sample sizes

References

Cheung, M. W.-L., & Chan, W. (2005). Meta-analytic structural equation modeling: A two-stage approach. Psychological Methods, 10, 40-64.

Cheung, M. W.-L., & Chan, W. (2009). A two-stage approach to synthesizing covariance matrices in meta-analytic structural equation modeling. Structural Equation Modeling, 16, 28-53.

Examples

# NOT RUN {
data(Cheung09)

#### Fixed-effects model: Stage 1 analysis
fixed1 <- tssem1(Cheung09$data, Cheung09$n, method="FEM")
summary(fixed1)
  
## Prepare a model implied matrix
## Factor correlation matrix
Phi <- create.mxMatrix( c("0.3*corf2f1","0.3*corf3f1","0.3*corf3f2"),
                        type="Stand", as.mxMatrix=FALSE )
## Error variances
Psi <- create.mxMatrix( paste("0.2*e", 1:9, sep=""), type="Diag",
                        as.mxMatrix=FALSE )

## Create Smatrix
S1 <- bdiagMat(list(Psi, Phi))
## dimnames(S1)[[1]] <- dimnames(S1)[[2]] <- c(paste("x",1:9,sep=""),
##                                             paste("f",1:3,sep=""))
## S1
S1 <- as.mxMatrix(S1)

## Factor loadings
Lambda <- create.mxMatrix( c(".3*f1x1",".3*f1x2",".3*f1x3",rep(0,9),
                             ".3*f2x4",".3*f2x5",".3*f2x6",".3*f2x7",
                             rep(0,9),".3*f3x8",".3*f3x9"), type="Full",
                             ncol=3, nrow=9, as.mxMatrix=FALSE )
Zero1 <- matrix(0, nrow=9, ncol=9)
Zero2 <- matrix(0, nrow=3, ncol=12)

## Create Amatrix
A1 <- rbind( cbind(Zero1, Lambda),
             Zero2 )
## dimnames(A1)[[1]] <- dimnames(A1)[[2]] <- c(paste("x",1:9,sep=""),
##                                             paste("f",1:3,sep=""))
## A1
A1 <- as.mxMatrix(A1)

## Create Fmatrix
F1 <- create.Fmatrix(c(rep(1,9), rep(0,3)))
  
#### Fixed-effects model: Stage 2 analysis
fixed2 <- tssem2(fixed1, Amatrix=A1, Smatrix=S1, Fmatrix=F1,
                 intervals.type="LB")
summary(fixed2)

## Display the model
plot(fixed2, what="path")

## Display the model with the parameter estimates
plot(fixed2, latNames=c("f1", "f2", "f3"), edge.label.cex=0.8,
     color="yellow")
# }