metaSEM (version 0.9.8)

issp05: Data Set from ISSP (2005)

Description

Thirty-two covariance matrices on work-related attitudes were extracted from the International Social Survey Programme 2005: Work Orientation III (ISSP, 2005). Seven variables were selected for demonstration purposes. They were grouped into three constructs: Importance of Job Prospects measured by job security (JP1), high income (JP2), and opportunity for advancement (JP3); Importance of Job Autonomy measured by work independently (JA1) and decide time of work (JA2); and Importance of Contributions to Society measured by help other people (CS1) and a job useful to society (CS2).

Usage

data(issp05)

Source

ISSP Research Group (2007): International Social Survey Programme 2005: Work Orientation III (ISSP 2005). GESIS Data Archive, Cologne. ZA4350 Data file Version 1.0.0, doi:10.4232/1.4350

Details

A list of data with the following structure:

data

A list of 32 covariance matrices

n

A vector of sample sizes

See Also

issp89

Examples

## Not run: 
# data(issp05)
# 
# #### Fixed-effects TSSEM
# fixed1 <- tssem1(issp05$data, issp05$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", 1:7, sep=""), type="Diag",
#                         as.mxMatrix=FALSE )
# 
# ## Create Smatrix
# S1 <- bdiagMat(list(Psi, Phi))
# ## dimnames(S1)[[1]] <- dimnames(S1)[[2]] <- c(paste("x",1:7,sep=""),
# ##                                             paste("f",1:3,sep=""))
# ## S1
# S1 <- as.mxMatrix(S1)
# 
# ## Factor loadings
# Lambda <- create.mxMatrix( c(".3*f1x1",".3*f1x2",".3*f1x3",rep(0,7),
#                              ".3*f2x4",".3*f2x5",rep(0,7),".3*f3x6",".3*f3x7"),
#                            type="Full", ncol=3, nrow=7, as.mxMatrix=FALSE )
# Zero1 <- matrix(0, nrow=7, ncol=7)
# Zero2 <- matrix(0, nrow=3, ncol=10)
# 
# ## Create Amatrix
# A1 <- rbind( cbind(Zero1, Lambda),
#              Zero2 )
# ## dimnames(A1)[[1]] <- dimnames(A1)[[2]] <- c(paste("x",1:7,sep=""),
# ##                                             paste("f",1:3,sep=""))
# ## A1
# A1 <- as.mxMatrix(A1)
# 
# ## Create Fmatrix
# F1 <- create.Fmatrix(c(rep(1,7), rep(0,3)))
# 
# #### Fixed-effects model: Stage 2 analysis
# fixed2 <- tssem2(fixed1, Amatrix=A1, Smatrix=S1, Fmatrix=F1,
#                  intervals.type="LB")
# summary(fixed2)
# ## End(Not run)