Boer16: Correlation Matrices from Boer et al. (2016)

In metaSEM: Meta-Analysis using Structural Equation Modeling

Correlation Matrices from Boer et al. (2016)

Description

The data set includes correlation matrices of leader-member exchange in transformational leadership reported by Boer et al. (2016).

Usage

data(Boer16)

Details

A list of data with the following structure:

data

A list of correlation matrices. The variables are LMX (leader-member exchange), TFL (transformational leadership), JS (job satisfaction), OC (organizational commitment), and LE (leader effectiveness)

n

A vector of sample sizes

RelLMX

The reliability of LMX

RelTFL

The reliability of TFL

Source

Boer, D., Deinert, A., Homan, A. C., & Voelpel, S. C. (2016). Revisiting the mediating role of leader-member exchange in transformational leadership: the differential impact model. European Journal of Work and Organizational Psychology, 25(6), 883-899.

Examples

## Not run: 
## Stage 1 analysis
rand1 <- tssem1(Boer16$data, Boer16$n, method="REM", RE.type="Diag",
                acov="weighted")
summary(rand1)

## Stage 2 analysis
model2a <- 'JS+OC+LE ~ LMX+TFL
            LMX ~ TFL
            ## Variance of TFL is fixed at 1
            TFL ~~ 1*TFL
            ## Correlated residuals
            JS ~~ OC
            JS ~~ LE
            OC ~~ LE'

## Display the model
plot(model2a)    
    
RAM2a <- lavaan2RAM(model2a, obs.variables = c("LMX", "TFL", "JS", "OC", "LE"),
                    A.notation="on", S.notation="with")

rand2a <- tssem2(rand1, Amatrix=RAM2a$A, Smatrix=RAM2a$S)
summary(rand2a)

## Display the model with the parameter estimates
plot(rand2a, layout="spring")    

## End(Not run)

metaSEM documentation built on Aug. 10, 2023, 1:09 a.m.