Learn R Programming

metaSEM (version 1.4.0)

Cheung00: Fifty Studies of Correlation Matrices used in Cheung and Chan (2000)

Description

This data set includes fifty studies of correlation matrices on the theory of planned theory reported by Cheung and Chan (2000).

Usage

data(Cheung00)

Arguments

Details

A list of data with the following structure:

data

A list of 50 studies of correlation matrices. The variables are the attitude toward behavior att, subjective norm sn, behavioral intention bi, and behavior beh

n

A vector of sample sizes

References

Cheung, M.W.-L., & Cheung, S.-F. (2016). Random-effects models for meta-analytic structural equation modeling: Review, issues, and illustrations. Research Synthesis Methods, 7, 140-155.

Examples

Run this code
# \donttest{
data(Cheung00)

## Variable labels
labels <- colnames(Cheung00$data[[1]])

## Full mediation model
S <- create.mxMatrix(c("1", 
                       ".2*cov_att_sn", "1", 
                       0, 0, ".2*e_bi", 
                       0, 0, 0, ".2*e_beh"), 
                     type="Symm", as.mxMatrix=FALSE, byrow=TRUE)
dimnames(S) <- list(labels, labels)
S

A <- matrix(c("0","0","0","0",
              "0","0","0","0",
              ".2*att2bi", ".2*sn2bi", "0", "0",
              "0", "0", ".2*bi2beh", "0"),
            byrow=TRUE, 4, 4)
dimnames(A) <- list(labels, labels)
A

#### Random-effects model

## Stage 1 analysis
random_1 <- tssem1(Cheung00$data, Cheung00$n, method="REM", RE.type="Diag",
                   acov="weighted")
summary(random_1)

## Stage 2 analysis
random_2 <- tssem2(random_1, Amatrix=A, Smatrix=S, intervals.type="LB",
                   diag.constraints=TRUE)
summary(random_2)

## Display the model
plot(random_2, what="path")

## Display the model with the parameter estimates
plot(random_2, color="yellow")

## Load the library
library("semPlot")
# }

Run the code above in your browser using DataLab